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A course that equips students with essential mathematical and statistical tools for data analysis, and problem-solving in various fields of study and research.
It is the attempt to apply the conclusions that have been obtained from one experimental study to more general populations.
The t distribution varies in shape based on:
It aims to describe various aspects of the data obtained in the study.
It is a method that allows researchers to infer information about a population based on results from a subset of the population, without having to investigate every individual
Nominal comes from the Latin root ‘name’ meaning nomen.
It has an absolute zero.
The chi-square distribution (also called the chi-squared distribution) is a special case of the beta distribution
The parametric test is the hypothesis test which provides generalizations for making statements about the mean of the parent population
The ________ sum of squares measures the variability of the sample treatment means around the overall mean
To test equality of means of more than 2 populations which of the following techniques is used?
It is the most frequently occurring variable in a distribution.
The normal distribution is a continuous probability distribution.
The main difference between the z and t-tests is that
Variables are central to any analysis and they do not need to be understood well by the researcher.
It is the process of taking a subset of subjects that is representative of the entire population.
This analysis is appropriate whenever you want to compare the means of two groups, and especially appropriate as the analysis for the posttest-only two-group randomized experimental design.
Which of the following definition defines nominal scale?
This particular type of analysis is useful when a researcher wants to establish if there are possible connectionsbetween variables.
This method of sampling is often used by market researchers.
Nominal is hardly measurement. It refers to quantity more than quality.
There are commonly two types of ANOVA tests for univariate analysis - One-Way ANOVA and Two-Way ANOVA.
If we hold all other factors constant, then as the error term of a t-statistic becomes greater,
The gamma distribution describes the square root of a variable distributed according to a chi-square distribution
The number of rows in which total variance in a one way ANOVA partitioned is..
We are rarely interested in a significance test alone; we would like to say something about the population from which the samples came, and this is best done with estimates of parameters and confidence intervals.
If most points depict a dispersed descending line this would suggest there would be a weak positive relationship
In this correlation the correlation coefficient is not robust due to the fact that strong linear relationships between the variables are not recognized
The statistics are presented in a indefinite form so they also help in condensing the data into important figures.
Which is not a level of measurement?
The formula of sample mean is
Statistics is only the science of uncertainty and not the technology of extracting information from data.
Which of the following is an appropriate null hypothesis for this study?
Residual plot in regression analysis is used to mean plot of regressors
It means a subgroup of the members of population chosen for participation in the study
If the independent had more than two levels, then we would use a one-way analysis of variance (ANOVA).
When the expected values (E) are obtained by multiplying row totals by column totals
Enter the following fomula: B9: =average(B3:B7) B10: =count(B3:B7) What does this line does? average(B3:B7)
A two way ANOVA is used to compare two means from two independent (unrelated) groups using the F-distribution.
Correlation analysis can study a wide range of variables and their interrelations.
It is is calculated by taking the ratio of the sample of the two variables to the product of the two standard deviations and illustrates the strength of linear relationships
What name is given to data which can be ranked?
The goal is to apply the ______________ to a more general population, assuming the sample size is large enough and the sample representative enough of the broader public.
Data collection used for a population.
The chi-square test is used when we have ordinal data.
Incorrectly rejecting a true null hypothesis is an example of what?
It is used to measure the strength of a linear association between two variables, where the value r = 1 means a perfect positive correlation and the value r = -1 means a perfect negative correlation.
To use a t-test the dependent variable must have
If you have parametric data, you can run a Wilcoxon rank-sum test to compare means
A low standard deviation indicates that the data points tend to be close to the mean of the data set.
T-test can help you to figure out if you need to reject the null hypothesis or accept the alternate hypothesis.
A low standard deviation indicates that the data points are spread out over a wider range of values.
ANOVA tests in statistics packages are run on parametric data.
7. Now that we have got Excel to calculate the correlation coefficient we need to interpret it to understand its true meaning. The value is always between -1 and +1. What is the value of the perfect negative correlation
1: Use this test to estimate the median of a population and compare it to a reference value or target value
It is a measure of where the "middle fifty" is in a data set
What is the reason why it is not necessary to create a scatter chart?
The null hypothesis for the chi-square goodness-of-fit test states that the distribution of
It is an accurate representation of the distribution of numerical data.
It is the value separating the higher half from the lower half of a data sample (a population or a probability distribution).
The central tendency of the ordinal scale is _______________________________.
Uses non parametric scale
It can perform well with skewed and non-normal distributions.
The company you are working for wants to improve sales. Past sales data indicate that the average sale was P100 per transaction. After training, recent sales data (taken from a sample of 25 salesmen) indicates an average sale of P130, with a standard deviation of P15. Did the training work? Use alpha level at 5%.
What is the median of the scores of the subject Science?
For an independent t-test, we assume that the populations of individual scores have the same variance.
The greater the value of the F ratio,
What assumption(s) must be met to conduct an independent-samples t-test?
It is also a logical grouping of attributes.
What is the median of the scores of the subject Language?
Pearson's Correlation Coefficient was designed just for linear relationships. Technically, if we get a low value, or a zero value, it does not mean that there is no relationship. It just means that there is no linear relationship.
Confidence interval estimation for a population standard deviation of a normal distribution from a sample standard deviation.
If all points cluster in an ascending line this would suggest there would be a strong positive relationship
It comes from the Latin nomen, meaning 'name' and nominal data are items which are differentiated by a simple naming system.
The independent variables are called as predicator variable because independent variables predict or forecast the values of the dependent variable in the model.
All measurements contain some uncertainty and error, and statistical methods help us quantify and characterize this uncertainty.
As the number of observations increases the t-distribution gets to look more like the standard normal distribution.
Comparison is one of the main functions of economics as the absolute figures convey a very less meaning.
In one-way ANOVA, which of the following is used within the F-ratio as a measurement of the variance of individual observations?
The non-parametric test is the hypothesis test which provides generalizations for making statements about the mean of the parent population.
The intent is to determine whether there is enough evidence to "reject" a conjecture or hypothesis about the process. The conjecture is called the ______________________
Which is not classified as Nominal?
It is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known.
It is the scientific study of earthquakes.
Classify the level of measurement it belongs: Score in IQ Test
Analysis of variance is a statistical method of comparing the ________ of several populations.
It is the most helpful for exploratory stages of studies such as a pilot survey.
If the sample data are consistent with the null hypothesis, then we do not reject it.
A Student's t-test will tell you if there is a significant variation between groups.
The Chi-Square statistic is most commonly used to evaluate Tests of Independence when using a what?
Stratified sampling improves the accuracy and representativeness of the results by reducing sampling bias.
Scientific data rarely lead to absolute conclusions.
A researcher finds a correlation of .40 between personal income and the number of years of college completed. Based upon this finding he can conclude that…
The mean is sensitive to any change in value, unlike the median and mode, where a change to an extreme or uncommon value usually has no effect.
You obtained a significant test statistic when comparing three treatments in a one-way ANOVA. In words, how would you interpret the alternative hypothesis HA?
What is commonly used for testing relationships between categorical variables?
Statisticians now believe that if the expected value (E) falls below 5-10 our chi-square test is not valid.
It tries to describe the relationship between variables in a sample or population and provides a summary of data in the form of mean, median and mode.
If the MSE of an ANOVA for six treatment groups is known, you can compute
It involves the application of specific statistical techniques to disciplines in biology such as population genetics, epidemiology and public health.
Non parametric tests are used when your data is normal
We use statistics when the number of cases that can occur are really small.
Calculate the correlation coefficient using the CORREL function. What is the format of the CORREL function?
What should Levene's test be in order to use the 'equal variance assumed' row of a t-test?
The most complicated distribution would list every value of a variable and the number of persons who had each value
Examples of ratio level data include distance and area (e.g., acreage).
Numbers can be also used to order.
When the difference between two population averages is being investigated, a t test is used
The time invested often requires determination of the appropriate methodology to apply in analysis corresponding to the hypothesis and design of the investigation.
If the sample data are consistent with the null hypothesis, but consistent with the alternative, then we reject the null hypothesis and conclude that the alternative hypothesis is true.
What must data be in order for a Pearson's product-moment to be conducted?
Which is another term for dependent variable?
The population is not confined to people only, but it may also include animals, events, objects, buildings, etc.
By default, all variables fall in one of the four scales.
Say youre interested in how rising sea temperatures impact algae life, so you design an experiment that measures the number of algae in a sample of water taken from a specific ocean site under varying temperatures. What is the independent variable?
Variance is a square of average distance between each quantity and mean.
Which is not an importance of levels of measurements?
Measures of spread are ways of summarizing a group of data by describing how spread out the scores are
Mean may be influenced profoundly by the extreme variables called _____________________.
This method of sampling is a non-probability sampling technique wherein the assembled sample has the same proportions of individuals as the entire population with respect to known characteristics, traits or focused phenomenon.
Individuals are selected at regular intervals from the sampling frame.
What is the mean of the scores of the subject Language?
Which of the following assumptions of ANOVA can be discarded in case the sample size is large?
You want to know whether people in different regions of the country are equally likely to vote Democratic, Republican, Independent, or Libertarian in the next election. You would use a
When the number of units in a population are uncountable, and so it is impossible to observe all the items of the universe
In ordinal measurement the numerical values just "name" the attribute uniquely.
Stratified sampling is used when we might reasonably expect the measurement of interest to vary between the different subgroups, and we want to ensure representation from all the subgroups
Which is classified as Ratio?
It implies the correlation among the values of the same variables but at various times
Interval scales are exactly like ratio scales, except that they have a true zero point
If you have categorical data, you'll want to run a non-parametric ANOVA (usually found under a different heading in the software, like "nonparametric tests").
Which of the following would most likely cause the confidence interval to become smaller?
The F ratio is typically used to test differences between
This is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected.
It depends on physically measuring things.
Every time you try to describe a large set of observations with a single indicator you run the risk of distorting the original data or losing important detail.
When the number of elements of the population is fixed and thus making it possible to enumerate it in totality.
It involves the examination across cases of one variable at a time.
What is the purpose of a goodness-of-fit test?
The t-test family is not based on the t-distribution, because the difference of mean score for two multivariate normal variables approximates the t-distribution.
Negative IQR is fine, if your data is in descending order
We use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study
If your data isn’t normally distributed, you can’t run the Kruskal-Wallis test., but you can run the nonparametric alternative–the ANOVA
In this, the hypotheses are not about population parameters
It is a nominal level variable that can take only two values (yes/no, male/female, Hungarian/non-Hungarian).
What is the alternative name for a repeated-measures t-test?
In statistics and probability, quartiles are values that divide your data into quarters provided data is sorted in an ascending order.
It assesses whether an association exists between the two variables by comparing the observed pattern of responses in the cells to the pattern that would be expected if the variables were truly independent of each other
Descriptive Statistics can be used to highlight potential relationships between variables.
Statistics help predicts the future course of action of the phenomena.
Enter data in A3:B7 the color of 5nips and their total. What are the variables of the activity?
It is generally assumed that the ANOVA is an 'analysis of dependencies.'
What is a number or attribute computed for each member of a population or a sample?
The number of rows in which total variance in a two way ANOVA partitioned is..
What type of relationships does a Pearson's product-moment assess?
These are numerical measurements that arise from a natural numerical scale.
Measures of central tendency are ways of describing the central position of a frequency distribution for a group of data.
Pocedure: By now, you should have completed your table. For excel shortcuts:
With descriptive statistics you are simply ________________ what is or what the data shows
What is the null hypothesis in chi-square test?
It is the study of how to collect, organize, analyze, and interpret numerical information from data.
Which among the set is bimodal?
It is used to investigate whether distributions of categorical variables differ from one another.
What function is use to compute for the average in Excel?
It is a characteristic that varies from one individual member of population to another individual.
If we hold all other factors constant, then as the error term of a t-statistic becomes greater
The Chi Square statistic is commonly used for testing relationships between categorical variables.
It is a computer system capable of capturing, storing, analyzing, and displaying geographically referenced information; that is, data identified according to location
The value of statistics is strong because they cannot serve as predictions as well as probabilities in certain trends.
Independent and dependent variables always go on the same places in a graph.
Depending on the statistical test you have chosen, you will calculate a probability of observing your sample results (or more extreme) given that the null hypothesis is true.
You find a statistically significant ANOVA. In order to determine which groups are different, you must conduct
Use this test instead of a one-way ANOVA to find out if two or more medians are different.
C3: = B3-$B$9 Copy the formula up to C7. What is purpose of the $?
The nominal scale forms the basis for such analyses as the Chi-Square because those analyses require that some category is compared to at least one other category.
The Chi Square statistic compares the tallies or counts of categorical responses between two (or more) independent groups.
Subgroups of the population are used as the sampling unit, rather than individuals
The significance of statistical figures can be seen best when invalidating solid arguments or predictions out of hypotheses or conjectures that may seem overwhelming to a layman.
The measures of central tendency are mean, median and mode.
Use when you want to find a correlation between two sets of data.
Analysis should reflect the design, and so a matched design should be followed by a matched analysis.
How many levels of measurements were discussed?
A one way ANOVA will tell you that at least two groups were different from each other.
It is the average of all the elements of a set
It is any characteristics, number, or quantity that can be measured or counted
The Jerome Light Bulb Company recently conducted a statistical test to determine whether the number of hours that light bulbs last is normally distributed with a mean of 500 and a standard deviation of 20. A sample of 300 light bulbs was divided into 8 groups to form a grouped data frequency distribution. The degrees of freedom for the test will be 299.
The t-test assesses whether the means of two groups are statistically different from each other.
Which of the following would produce related data?
Sampling is also done to waste time, money and effort while conducting the research.
It is the non-parametric alternative test to the independent sample t-test.
It is the variable whose change isn’t affected by any other variable in the experiment.
It refers to a family of continuous probability distributions described by the normal equation
Every individual in the population have equal chance of being selected as a subject for the research.
The error sum of squares can be obtained from the equation in two way ANOVA
Identify what branch of statistics focus on the measures of central tendency and dispersion.
What is a statistical test which is widely used to compare the mean of two groups of samples. It is therefore to evaluate whether the means of the two sets of data are statistically significantly different from each other?
Analyze the chart. What is your interpretation of the chart?
It is commonly used for analyzing experiment results, testing their significance and displaying the results accordingly.
The coefficient of determination and the R-squared (R2) are not the same
It is used when evaluating Tests of Independence under Chi-Square statistic .
It arise out of the fact that sampling naturally incurs sampling error and thus a sample is not expected to perfectly represent the population
Uses parametric scale
The null hypothesis of the Chi-Square test is that no relationship exists on the categorical variables in the population
The only permissible aspect related to numbers in a nominal scale is “counting.”
Nominal provides the least amount of detail, and ratio provide the most amount of detail.
In this method, the population is first divided into subgroups (or strata) who all share a similar characteristic.
Variable that always goes on the x-axis, or the horizontal axis
Measures of dispersion aim to provide an accurate description of the entire data
How does the shape of the t-distribution change as the sample size increases?
It is a measure of the strength of a linear association between two variables and is denoted by r.
If the Pearson Product Moment Correlation Coefficient shows zero value, this definitely means that there is no relationship between the two variables
It is rare to find perfect correlation (+1 or -1).
Statistical variables do not contain numerical values but rather something __________________________.
This industry use statistical approaches to estimate the number of depositors and their claims for a certain day
Correlation analysis as a research method offers a range of advantages
Parametric test is mainly based on differences in medians
What is the value of the perfect positive correlation
The parametric test is the hypothesis test which provides generalizations for making statements about the ____________________ of the parent population.
Which of the following is not a use for r?
It compares the means of two (and only two) groups when the variances are not equal.
The two-way ANOVA compares the means between the groups you are interested in and determines whether any of those means are statistically significantly different from each other.
The critical values for t will always be ______________ the critical values for z:
Which of the following is the correct formula for the chi-square goodness-of-fit test?
It provides a mechanism for making quantitative decisions about a process or processes.
It is a summary statistic that quantitatively describes or summarizes features of a collection of information, while descriptive statistics in the mass noun sense is the process of using and analyzing those statistics
An independent t-test can be used to assess which of the following?
The null hypothesis in analysis of variance asks whether
The randomly selected 100 students for a survey is called a population
What name is given to data which is made up of frequencies?
If data in two way classification id displayed in r rows and k columns, then the degrees of freedom for interaction will be…
It is the measurement of correlation and ranges (depending on the correlation) between +1 and -1. +1 indicates the strongest positive correlation possible, and -1 indicates the strongest negative correlation possible.
A potential source of confusion in working out what statistics to use in analysing data is whether your data allows for parametric or non-parametric statistics.
Enter the following formula:
It is one of the measures of correlation which quantifies the strength as well as the direction of such relationship
Which of the following is a measure of degree of association?
A small confidence interval is bad because few values are contained within it.
Use this test to estimate the median of a population and compare it to a reference value or target value
Scientific research rarely leads to absolute certainty.
The degrees of freedom for k columns of size n will be..
Age is under what level of measurements?
Compute the average of all variables using what formula?
Since a term including the standard error is added to and subtracted from the mean, if the standard error is smaller a smaller product will be added to and subtracted from the mean.
It is often based on statements of statistical significance and probability.
Classify the level of measurement it belongs: Gender
Use this test instead of the sign test when you have two independent samples.
Which is an example of interval scale?
It is a measurement where the difference between two values is meaningful.
It is the science of uncertainty.
There is a subtype in ordinal scale with only two categories like one of the nominal scale and is known as dichotomous ordinal scale.
It refers to the relationship among the values that are assigned to the attributes for a variable.
In this level of measurement, the observations, in addition to having equal intervals, can have a value of zero as well.
Parametric statistical procedures are less powerful because they use less information in their calculation.
What other solution can you do to compute for the average of the scores?
What is the shortcut for getting the standard deviation?
Significance testing is based on which of the following principles?
Which among the data is a sample?
All else being equal, as the subjects in a study become more homogenous, the value of the test statistic increases.
By which other name is the chi-square goodness of fit test known?
Homogeneity of variance is the assumption that:
The only difference between the z and single sample t-test are the size of the samples.
Say you want to figure out which brand of microwave popcorn pops the most kernels so you can get the most value for your money. You test different brands of popcorn to see which bag pops the most popcorn kernels. Which among the choices is the independent variable?
A t-test compares means, while the ANOVA compares variances between populations. You could technically perform a series of t-tests on your data
Descriptive statistics help us to simplify large amounts of data in a sensible way.
It is calculated by changing lagged data with the formula for the Pearson product-moment correlation coefficient.
These are measurements for which there is no natural numerical scale, but which consist of attributes, labels, or other non numerical characteristics.
If there is correlation found, depending upon the numerical values measured, this can be either positive or negative.
The ANOVA structural model (X = + + ) maps sample scores in terms of populations, groups, and individual scores.
It is a variable that goes on the y-axis, or vertical axis.
It is difficult to do flexible modelling with non-parametric tests, for example allowing for confounding factors using multiple regression.
The error deviations within the SSE statistic measure distances:
Parametric tests usually have more statistical power than their non-parametric equivalents.
It is used to make predictions or comparisons about a larger group (a population) using information gathered about a small part of that population.
Percentile is a way to represent position of a values in data set.
One use of chi-square distribution is Confidence interval estimation for a population standard deviation of a normal distribution from a sample standard deviation.
The ______ sum of squares measures the variability of the observed values around their respective treatment means.
To determine whether the test statistic of ANOVA is statistically significant, it can be compared to a critical value. What two pieces of information are needed to determine the critical value?
It varies according to changes in other variables.
This test is used to test for differences between groups with ordinal dependent variables.
It is the measurement of average distance between each quantity and mean
There are two key variables in every experiment: the dependent variable and the independent variable.
Assuming that the null hypothesis being tested by ANOVA is false, the probability of obtaining a Fratio that exceeds the value reported in the F table as the 95th percentile is:
Which of the following findings is not a correlation?
The straight line equation y=b0 + b1x is an example of a linear relationship. This means that the changes in one variable are accompanied by the proportional linear changes in another variable. If you increase one variable by 1 and the other by 0.5, this is a linear change.
Although in an interval scale, since there is an absence of the absolute 0 and it works on the principal of an arbitrary 0, the division of variables is not possible.
The concept of measurement has been developed in conjunction with the concepts of numbers and units of measurement.
What is the average of scores of the subject Mathematics?
Sex or Gender is classified under what level of measurement?
Achievement is classified under what level of measurement?
The value of statistics is strong because they can serve as predictions as well as probabilities in certain trends.
Statistics are powerful tools, but it's the analysis provided afterwards by inferential statistics that explicitly makes claims about what those results mean, why, and in what context
You carried out an ANOVA on a preliminary sample of data. You then collected additional data from the same groups; the difference being that the sample sizes for each group were increased by a factor of 10, and the within-group variability has decreased substantially. Which of the following statements is NOT correct.
It is defined as the middle of a distribution in a ranked data
It provides a visual representation of the data.
It is referred to as such because it is a test to prove an assumed cause and effect relationships
These are often used to communicate research findings and to support hypotheses and give credibility to research methodology and conclusions.
It gives an indication of how close an individual observation clusters about the mean value
It gives the ability to quantify and differentiate between options.
Descriptive statistics are typically distinguished from ____________________________.
Descriptive Statistics are used to present _______________ descriptions in a manageable form.
The advantage of using non probability sampling is the accuracy of the statistical methods after the experiment
It is a measure of the strength and direction of association that exists between two variables measured on at least an interval scale.
In a chi-square test, the "expected" counts are the values we expect if there is an association between the variables.
It uses a random sample of data taken from a population to describe and make inferences about the population
In ANOVA, 2 and 2
It is defined as "the statistical measure that identifies a single value as representative of an entire distribution."
Create a Scatter Chart of the data. Is it necessary to create a scatter chart?
What type of data do you need for a chi-square test?
After we use the original data to calculate the difference scores for a paired t-test, we no longer need the original data for the paired t-test calculations.
Parametric type of test.
Descriptive statistics are very important because if we simply presented our raw data it would be hard to visualize what the data was showing, especially if there was a lot of it.
It is the test of association for ranked variables.
Which is not a level of measurement in Statistics?
It is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data.
The assumptions of this test are that the data from each population is an independent random sample and the population distributions have the same shape.
If paired scores occupy the same positions within their own distributions (high with high and low with low)
The formula for the Chi-Square is a ratio.
What type of data is required for a Pearson's analysis which does not include a dichotomous variable?
Display networks of relationships among variables, enabling researchers to identify the nature of relationships that would otherwise be too complex to conceptualize
The _______, ___________ and ____________ are the three commonly used measures of central tendency
Non Parametric tests can provide trustworthy results when the groups have different amounts of variability
Valid for both non-Normally distributed data and Normally distributed data
Which of the following would not allow you to calculate a correlation?
Statisticians assume a cause effect relationship and say that one or more independent, controlled variables (the factors) cause the significant difference of one or more characteristics
There are four major characteristics of a single variable that we tend to look at
What is the mode of the scores of the subject Mathematics?
Snowball sampling can be effective when a sampling frame is easy to identify.
These are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known.
Parametric tests have no statistical power
As variability due to chance decreases, the value of F will
A researcher can create a map to represent data relationships visually using this
It is the simplest form of analyzing data. "Uni" means "one", so in other words your data has only one variable.
With this test, you also estimate the population median and compare it to a reference/target value.
Descriptive Statistics simply summaries about the sample and the measures
Procedure Enter the following formula: D9: =sum(D3:D7) then B12: =D9/(B10-1) What are your expected outputs in this number?
If the true means of the k populations are equal, then MSTR/MSE should be:
Visually represent the frequencies with which values of variables occur.
One-way ANOVA between groups is used when you want to test two groups to see if there's a difference between them.
We use unplanned comparisons to determine
Example of this are number of episodes of respiratory arrests or the number of re-intubations in an intensive care unit.
Methods of correlation and regression cannot be used in order to analyze the extent and the nature of relationships between different variables
Conducting multiple t-tests increases the likelihood of which of the following?
It a characteristic or feature that varies, or changes within a study
Variables can be defined in terms of measurable factors through a process of _______________________________.
As the number of observations increases, the t-distribution looks more like the standard normal distribution.
The characteristic of population based on all units is called parameter while the measure of sample observation is called statistic.
Enter the following data in you Microsoft Excel. What are the variables in this analysis?
It is the event expected to change when the independent variable is manipulated
What does a Pearson's product-moment allow you to identify?
Quota sampling has the advantage of being time-and cost-effective to perform whilst resulting in a range of responses (particularly useful in qualitative research).
What is the result of the calculation?
Which of the following is an assumption of one-way ANOVA comparing samples from three or more experimental treatments?
A repeated measures t-test can be used to assess which of the following?
Compute the frequency of all nominal variables using what formula?
This method is a nonprobability sampling technique where existing study subjects recruit future subjects from among their acquaintances.
______________ correlation exists if one variable increases simultaneously with the other, i.e. the high numerical values of one variable relate to the high numerical values of the other.
The most popular forms of Chi-Square used in business studies include Pearson product-moment correlation, Spearman Rank correlation and Autocorrelation.
Parametric tests are those that make assumptions about the parameters of the population distribution from which the sample is drawn.
Which of the following indicates the strongest relationship?
What does the figure shows?
It is used to compare the mean of a population with a theoretical value.
It is commonly used for testing relationships between categorical variables.
Use this test to compare differences between two independent groups when dependent variables are either ordinal or continuous.
It is used to describe the basic features of the data in a study
Which of the following statistics are important when interpreting an independent samples t-test?
It does not only classify and order the measurements, but it also specifies that the distances between each interval on the scale are equivalent along the scale from low interval to high interval.
Why, in some cases, is a measure of association needed in addition to a p-value for a statistical test?
What is the mode of the scores of the subject Social Science?
This method is a non probability sampling technique where existing study subjects recruit future subjects from among their acquaintances.
Which of the following may have an adverse effect on a correlation coefficient?
Distributions cannot be displayed using percentages
It is a software encompasses a broad range of applications which involve the use of a combination of digital maps and geo referenced data.
Descriptive Statistics is the branch of statistics that involves organizing, displaying and describing data.
Homoscedasticity can be checked using which type of graph?
Which of the following definition defines interval scale?
What is the formula for Chi-Square Statistics?
Non parametric assume that the data is normally distributed
This sampling method is usually employed in studies that are not interested in the parameters of the entire population.
If correlation is found between two variables it means that when there is a systematic change in one variable, there is also a systematic change in the other
It is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected.
According to the text, which of the following is not another name for the correlated-groups design?
By what alternative name is Pearson's Correlation Analysis also known?
You obtain a sample chi-square value of X2 = -5.49. On the basis of this value, you know that
The degrees of freedom for a chi-square goodness-of-fit test are calculated as N-1.
In this level of measurement, the numbers in the variable are used only to classify the data.
A set cannot have more than one mode.
The total area under the normal curve is equal to 2.
If the sample means for each of k treatment groups were identical (yes, this is extremely unlikely), what would be the observed value of the ANOVA test statistic?
It is used to understand the nature of relationships between two individual variables.
It is a single value that attempts to describe a set of data by identifying the central position within that set of data.
It has have no order and thus only gives names or labels to various categories.
Construct a conclusion based on the scale below: What is the interpretation of our computation?
Any difference among the population means in the analysis of variance will inflate the expected values of
The independent variables are called as predicated variable because independent variables predict or forecast the values of the dependent variable in the model.
The correlation coefficient is sensitive to outlying points therefore the correlation coefficient is resistant.
One of the reasons that a correlated-groups design is more powerful than an independent-samples design is that in the correlated-groups design
The alternative hypothesis for the test is that the two means are equal.
Why must you review the materials produced using statistics?
It is a classification that describes the nature of information within the values assigned to variables
If correlation is found between two variables it means that when there is _____________ change in one variable, there is systematic change in the other
What is the conventional level of significance typically adopted in psychology?
The main purpose of an ANOVA is to test if two or more groups differ from each other significantly in one or more characteristics.
Conducting a single F test in one-way ANOVA protects us from Type II error.
The null hypothesis for all chi-square tests asks whether the observed number of cases in a sample what we expect from knowledge of the population.
The t-statistic rests on the underlying assumption that there is the normal distribution of variable and the mean in known or assumed to be known.
T-tests and other significance tests are frequently criticized. Over-representation of statistical significance in research may result in
Negative correlation exists if one variable decreases when the other increases, i.e. the high numerical values of one variable relate to the low numerical values of the other.
Those that make assumptions about the parameters of the population distribution from which the sample is drawn
This test is used to test for differences between groups with ordinal dependent variables
If your results say that the p value is < 0.001 what can you conclude?
Descriptive statistics therefore enables us to present the data in a more meaningful way, which allows simpler interpretation of the data
On the negative side, findings of correlation does not indicate causations i.e. cause and effect relationships.
One disadvantage of the mean is that a small number of extreme values can distort its value.
It is a branch of science that deals with the collection, organization, analysis of data and drawing of inferences from the samples to the whole population.
Members of the population do not have equal chance of being selected.
A bell shaped curve to a scatter graph would suggest what?
If I want to compare the performance of a particular group to an established, accepted average but information about the population standard deviation is not available. I should
When reporting a Pearson's product-moment in APA format, you would use x.
The _________________ must have sufficient size to warrant statistical analysis.
A skewed distribution is one reason to run a parametric test.
The more variables, the more complex the study and the more complex the statistical analysis.
These are the two main branches of statistics
Parametric tests can provide trustworthy results with distributions that are skewed and nonnormal
When conducting a one-way ANOVA, the _______ the between-treatment variability is when compared to the within-treatment variability, the _______ the value of FDATA will be tend to be.
When the k population means are truly different from each other, it is likely that the average error deviation:
The degrees of freedom for a 2 x 2 cross-tabulation table for the chi-square test of independence equal
Which is considered as qualitative data?
If you are using interval or ratio scales you use _________________________________.
You cannot use a Pearson's correlation to understand whether there is an association between exam performance and time spent revising
In ratio scale, variables can be systematically added, subtracted, multiplied and divided.
It is a hypothesis which the researcher tries to disprove, reject or nullify.
If your measurement scale is nominal or
Statistics provide a measure of proof that something is true.
What is the value of the standard error of the mean?
Non-parametric tests are "distribution-free" and, as such, can be used for non-Normal variables
A correlation coefficient that is applied to ranked variables was introduced by Spearman, whilst Pearson and Fisher introduced independently correlation coefficients that measure the strength of the relationship between non-ranked variables.
A population can be small or large, as long as it includes all the data you are interested in.
Classify the level of measurement it belongs: Birth Order
Qualitative data are variables that cannot be ordered in a logical or natural way.
It is a popular test; it is the test to use when conducting experiments
With all inferential statistics, we assume the dependent variable fits a normal distribution
Appropriate use of statistical methodology in data analysis means the data should be analyzed in a way that is both scientifically and statistically unreasonable.
It is a method of statistical evaluation used to study the strength of a relationship between two, numerically measured, continuous variables (e.g. height and weight).
A nice thing about the correlated groups design is that it can still be done even if there are an uneven number of observations in the groups.
Display the relationship between two quantitative or numeric variables by plotting one variable against the value of another variable
Measures of central location include the range, quartiles and the interquartile range, variance and standard deviation
It is the difference between lowest and highest value.
Analysis of Variance
It assesses whether the means of two groups are statistically different from each other
An ANOVA test is a way to find out if survey or experiment results are significant
It is important to study statistics in order to formulate well-advance predictions.
The sum of squares due to the column factor for one way analysis of variance is given by
The significance of statistical figures can be seen best when validating solid arguments or predictions out of hypotheses or conjectures that may seem overwhelming to a layman.
The advantage of using probability sampling is the _______________ of the statistical methods after the experiment
What is the average of scores of the subject Social Science?
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