

Introductory Statistics for Social Sciences Exam Practice Tests
Course Introduction
This course provides an introduction to the fundamental concepts and methods of statistics as applied in the social sciences. Students will explore descriptive and inferential statistics, including measures of central tendency, variability, probability, hypothesis testing, correlation, and regression analysis. Emphasis is placed on understanding the logic behind statistical procedures, interpreting output from statistical analyses, and applying statistical reasoning to real-world social science research questions. No prior knowledge of statistics is required, and the course incorporates practical examples from sociology, psychology, political science, and related fields to illustrate the relevance and application of statistical methods.
Recommended Textbook
Statistics A Gentle Introduction 3rd Edition by Frederick L. Coolidge
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Chapter 1: A Gentle Introduction
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Sample Questions
Q1) Some patients in a control group will get well because of their belief that they are receiving the real treatment.This phenomenon is known as the
A)experimenter effect
B)placebo effect
C)Hawthorne effect
D)belief effect
E)all of the above

Answer: B
Q2) After a normative study of blood pressure in people older than age 50, the researchers realized that they did not record the people's ages.The lack of knowledge about their ages is considered a potential
A)confounding variable
B)dependent variable
C)independent variable
D)response variable
E)diagnostic variable
Answer: A
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Chapter 2: Descriptive Statistics: Understanding
Distributions of Numbers
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Sample Questions
Q1) Currently, the best substitute for the word errors in statistics is A)problems
B)klinkers
C)variations
D)mistakes

Answer: C
Q2) The main difference between a bar graph and a histogram is
A)two-dimensional bars instead of three-dimensional bars
B)vertical instead of a horizontal presentation
C)bar graphs have spaces between bars and histograms don't D)they are identical in every aspect
Answer: C
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Chapter 3: Statistical Parameters: Measures of Central
Tendency and Variation
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Sample Questions
Q1) What is the range of the previous advertising expenses?
A)$11,050
B)$10,050
C)$10,950
D)none of the above
Answer: C
Q2) What is the standard deviation of the salaries (rounded to a whole number)?
A)81,000
B)81,111
C)88,000
D)14,701
Answer: D
Q3) The top salary in the previous set was $115,000.Would you consider that salary
A)a klinker
B)an outlier
C)neither because it falls well within three standard deviations of the mean
Answer: C

Page 5
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Chapter 4: Standard Scores, the Z Distribution, and
Hypothesis
Testing
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Sample Questions
Q1) From what negative z score to what positive z score would cut off the middle .9500 of the z distribution?
A)± 1.64
B)± 1.96
C)± 2.00
D)± 1.00
Q2) A T score has a mean and standard deviation of A)100 and 15
B)50 and 10
C)25 and 5
D)500 and 100
Q3) For a person with an IQ of 145, his or her score would be _________ standard deviations above the normative mean.
A)1
B)2
C)3
D)4
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Page 6

Chapter
Hypothesis Testing, and the Z Distribution
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Sample Questions
Q1) Which of the following is more likely to end up being too sensitive to chance differences?
A)a nondirectional alternative hypothesis
B)a directional alternative hypothesis
C)a nondirectional research hypothesis
D)all of the above
Q2) A dependent variable in an experiment can be likened to the ___________ in the signal-to-noise ratio.
A)signal
B)to
C)noise
D)ratio
Q3) When findings in an experiment do not reach the conventional level of statistical significance, they are reported to be ___________.
A)nonsignificant
B)insignificant
C)significant
D)unworthy
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Chapter 6: An Introduction to Correlation and Regression
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Sample Questions
Q1) In multiple regression, the coefficient R can be interpreted as
A)the percentage of variance accounted for in the dependent variable by the set of independent variables
B)the percentage of variance accounted for in the dependent variable by a single independent variable
C)the strength of a relationship between the dependent variable and a set of independent variables
D)all of the above
Q2) The df for this problem are
A)14
B)12
C)10
D)8
Q3) __________________ correlation measures the strength of a relationship between two continuous variables.
A)Pearson
B)Spearman
C)Point-biserial
D)Phi
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Page 8

Chapter 7: The T Test for Independent Groups
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Sample Questions
Q1) The derived t value for this problem is
A)7.338
B)4.816
C)11.373
D)12.000
Q2) The correct statistical decision would be to
A)reject the null hypothesis at p < .05 (although it would be reported significant at p < .01)
B)retain the null hypothesis (p > .05)
C)reject the null hypothesis at p < .05 (although it would be reported significant at p < .001)
Q3) The degrees of freedom for this problem are
A)18
B)16
C)8
D)20
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Chapter 8: The T Test for Dependent Groups
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Sample Questions
Q1) The derived t value (either + or -) from the formula is
A)5.00
B)7.87
C)3.44
D).05
Q2) In statistical language, the results are significant at (and remember statisticians report the lowest p level possible)
A)p < .05
B)p < .01
C)p < .001
Q3) The df for this problem are
A)24
B)12
C)11
D)10
Q4) What statistical decision is appropriate?
A)retain the null hypothesis
B)reject the null hypothesis
C)reject the alternative hypothesis
D)the results are significant at p < .05
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Chapter 9: Analysis of Variance Anova: One-Factor
Completely Randomized Design
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Sample Questions
Q1) The mean squares within groups (MSW) is
A)727.155
B)15,483.667
C)21.293
D)46,451.000
Q2) The sum of squares total (SST) for this problem is
A)17,451.714
B)63,902.714
C)21.293
D)46,451.000
Q3) The mean squares within groups (MSW) is A)436.750
B)15.598
C)383.583
D)24.591
Q4) The sum of squares between groups (SSB) for this problem is A)1150.75
B)436.75
C)1587.50
D)24.591
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Chapter 10: After a Significant Analysis of Variance: Multiple Comparison Tests
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Sample Questions
Q1) Tukey's HSD value for Problem 1 would be A)5.45 B)3.90 C)4.91 D)4.80
Q2) Based on Tukey's HSD results, all but one of the following is true.Which is not a true statement?
A)The Low-Carbs diet produced the most weight loss.
B)There was no significant difference in weight loss between the E-mail-A-Meal and the Life on Herbs diets.
C)The Weight-Lookers diet produced the least weight loss.
D)The Life on Herbs diet produced a greater weight loss than the E-mail-A-Meal diet.
Q3) The value of r in Appendix F for Tukey's q values is A)2 B)4 C)8 D)32
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Page 12
Chapter 11: Analysis of Variance Anova: One-Factor
Repeated-Measures Design
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Sample Questions
Q1) The sum of squares for subjects (SSS) for this problem is A)48,598.087
B)9,852.485
C)57,207.714
D)739,884.557
Q2) The degrees of freedom for SSS are A)3
B)6
C)27
D)35
Q3) The degrees of freedom for SST are A)3
B)6
C)27
D)35
Q4) The error term sum of squares (SSW) for this problem is A)8,524,828.52
B)784,628.05
C)24,869.08
D)2,344.57
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Chapter 12: Analysis of Variance: Two-Factor Completely
Randomized Design
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Sample Questions
Q1) The error term sums of squares are
A)157.63
B)45.38
C)615.13
D)935.31
Q2) The F value for gender is
A)6.045
B)31.225
C)81.952
D)1.000
Q3) In the _______________ effects ANOVA design, the experimenter is interested in generalizing to other levels of the independent variable, and the levels of the independent variable are randomly chosen.
A)fixed
B)random
C)mixed
D)repeated-measures
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Page 14

Chapter 13: Post Hoc Analysis of Factorial Anova
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Sample Questions
Q1) A significant main effect always requires a post hoc analysis
A)if there are more than two levels
B)if there are only two levels
C)even if there is only one level of the main effect
D)when the interaction is not significant
Q2) For the boys, the results of Tukey's test in the interaction revealed
A)Ritalin worked best
B)Cylert worked best
C)the placebo worked best
D)none of the above
Q3) Tukey's HSD value for the interaction between gender and drug levels (at p = .05) is
A)3.44
B)4.23
C)2.17
D)1.17
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Chapter 14: Factorial Anova: Additional Designs
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Sample Questions
Q1) The SS for trials is
A)324.967
B)1936.033
C)116.033
D)64.067
E)68.467
Q2) The df for the awareness factor is A)1
B)2
C)3
D)54
E)59
Q3) The df for the interaction is A)1
B)2
C)3
D)24
E)29
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Chapter 15: Nonparametric Statistics: The Chi-Square Test
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Sample Questions
Q1) The degrees of freedom for this chi-square problem are A)1.
B)2.
C)5.
D)200.
Q2) The expected cell frequency for the men who preferred a spouse for love is
A)51.197
B)52.197
C)53.197
D)54.197
Q3) A chi-square test can be similar to a factorial ANOVA in that it can analyze two or more __________ at once.
A)independent variables
B)normal distributions
C)people or subjects
D)mean scores
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Page 17

Chapter 16: Other Statistical Parameters and Tests
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Sample Questions
Q1) Which of the following is not true of factor analysis?
A)there are an infinite number of correct solutions
B)it can be used to reduce the number of items on a test or measure
C)factor analysis designs are similar to ANOVA designs
D)in IQ research, it found a single "g" factor
Q2) To have a reliable factor analysis of 57 items, the study should be conducted on at least ________ people.
A)57
B)285
C)570
D)1140
Q3) Shrinkage in linear discriminant function analysis can be minimalized by
A)having the number of participants in the smallest group be 10 times the number of predictor variables
B)having the number of participants in the largest group be 10 times the number of predictor variables
C)having the number of participants in the smallest group be at least 30
D)having the number of participants in both groups be at least 150
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