Basic Statistics Practice Exam
Course Introduction
Basic Statistics introduces students to fundamental concepts and techniques used to collect, analyze, interpret, and present numerical data. The course covers topics such as descriptive statistics, probability, distributions, estimation, hypothesis testing, correlation, and regression. Emphasis is placed on real-world application, critical thinking, and the use of statistical software tools to solve problems in various disciplines. By the end of the course, students will be able to understand and apply statistical reasoning to make informed decisions and draw meaningful conclusions from data.
Recommended Textbook
Statistics A Gentle Introduction 3rd Edition by Frederick L. Coolidge
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16 Chapters
341 Verified Questions
341 Flashcards
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Page 2
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) If we randomly choose names from the phone book, call them, and determine whether they are registered voters, does this process result in a random sample of voters?
A)True
B)False
Answer: False
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Page 3
Chapter 2: Descriptive Statistics: Understanding
Distributions of Numbers
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25 Verified Questions
25 Flashcards
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Sample Questions
Q1) For the previous set of numbers, what is the percentage of frequency of the second interval rounded to one decimal place?
A)20.7%
B)40.7%
C)40.74%
D)40.8%
Answer: B
Q2) In Figure 2.3 (truck brands), the major problem of the presentation was
A)cutting off the bottom 95% of the bars' heights
B)hiding the brand names of the competing trucks
C)too many useless colors
D)meaningless three-dimensional bars
E)all of the above
Answer: A
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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 set of scores?
A)18
B)64
C)46
D)490
Answer: C
Q2) What is the median of the salaries (rounded to a whole number)?
A)82,000
B)81,111
C)88,000
D)14,864
Answer: A
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) According to the z distribution, what proportion of SAT verbal scores would fall between 400 and 696?
A).3413
B).4750
C).8163
D).1683
Q2) What proportion of scores on a z distribution falls between a z score of 0.00 and a z score of 1.00?
A).2500
B).3000
C).3413
D).5000
Q3) 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
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Chapter
Hypothesis Testing, and the Z Distribution
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Sample Questions
Q1) The probability of committing the Type I error is also called ___________. A)alpha
B)beta C)delta D)omega
Q2) The probability of committing the Type II error is also called ___________. A)alpha
B)beta C)delta D)omega
Q3) Which of the following is a Type I error?
A)rejecting H<sub>0</sub> when H<sub>0</sub> is false
B)rejecting H<sub>0</sub> when H<sub>0</sub> is true
C)not rejecting H<sub>0</sub> when H<sub>0</sub> is true
D)not rejecting H<sub>0</sub> when H<sub>0</sub> is false
Q4) In the section "Can Statistics Solve Every Problem?" your course author argues
A)True B)False
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Chapter 6: An Introduction to Correlation and Regression
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30 Flashcards
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Sample Questions
Q1) To test for the significance of a Pearson correlation, one must use the _______________ distribution.
A)t
B)F
C)\(\chi\)<sup>2</sup> D)z
Q2) Given a strong negative correlation, a score that is relatively high on variable x will be relatively _____ on variable y.
A)low
B)medium
C)high
D)significant
Q3) The percentage of variance in shoe size that can be accounted by weight is A)65
B)81
C)90
D)99
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Chapter 7: The T Test for Independent Groups
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Sample Questions
Q1) The correct statistical decision would be
A)retain the null hypothesis
B)reject the null hypothesis
C)retain the alternative hypothesis
D)reject the directional null hypothesis
Q2) The value of the numerator in the t formula for this problem (either or -) is
A)3.058
B)55.33
C)62.67
D)7.33
Q3) The derived t value for this problem is A)7.338
B)4.816
C)11.373
D)12.000
Q4) The degrees of freedom for this problem are
A)20
B)18
C)10
D)9
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Chapter 8: The T Test for Dependent Groups
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20 Flashcards
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Sample Questions
Q1) 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
Q2) The df for this problem are A)0
B)8
C)5 D)14
Q3) The two-tailed test of significance protects against the Type ____ error better than the one-tailed test of significance. A)I
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Page 10
Chapter 9: Analysis of Variance Anova: One-Factor
Completely Randomized Design
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30 Flashcards
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Sample Questions
Q1) If a three-group experiment is performed and the means for the three groups are analyzed with three t tests (Group 1 vs.Group 2, Group 2 vs.Group 3, Group 1 vs.Group 3), what is the probability of committing the Type I error?
A).05
B).10
C).14
D).15
Q2) The sum of squares between groups (SSB) for this problem is
A)1150.75
B)436.75
C)1587.50
D)24.591
Q3) An omnibus hypothesis means that
A)there are many different possible outcomes
B)there is a single outcome
C)there are two outcomes but three alternatives
D)there are two null hypotheses
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Page 11
Chapter 10: After a Significant Analysis of Variance: Multiple Comparison Tests
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Sample Questions
Q1) The value of r in the appendix for Tukey's q values is A)2
B)4
C)8 D)32
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 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
Q2) The degrees of freedom for SSS are A)3
B)6
C)27
D)35
Q3) The correction for the mean (CM) for this problem is A)2,544,660.03
B)785,342.02
C)26,958.60
D)4,038.57
Q4) The degrees of freedom for SSB are A)3 B)18
C)24 D)35
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Chapter 12: Analysis of Variance: Two-Factor Completely
Randomized Design
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25 Flashcards
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Sample Questions
Q1) The sums of squares for gender are
A)0.42
B)40.83
C)593.43
D)141.90
Q2) The error term sums of squares are
A)157.63
B)45.38
C)615.13
D)935.31
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) In an effect size analysis in a two-factor ANOVA for a main effect, k is equal to
A)the number of levels of the main effect
B)the number of levels times 2
C)the number of levels minus 2
D)the number of levels for the interaction
Q2) For the girls, the results of Tukey's test for in the interaction revealed
A)Ritalin worked best
B)Cylert worked best
C)The placebo worked best
D)none of the above
Q3) 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
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15
Chapter 14: Factorial Anova: Additional Designs
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Sample Questions
Q1) The SS for the interaction is
A)324.967
B)1936.033
C)116.033
D)64.067
E)68.467
Q2) The SS for the interaction is A)1540.267
B)273.067
C)10.033
D)9.033
E)463.733
Q3) The df for the sessions factor is
A)1
B)2
C)3
D)54
E)59
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Page 16
Chapter 15: Nonparametric Statistics: The Chi-Square Test
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Sample Questions
Q1) The conclusion for this problem would be
A)a greater percentage of men than women married for love
B)a greater percentage of women than men married for love
C)more women married for love
D)more men married for money
Q2) 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
Q3) The degrees of freedom for this chi-square problem are
A)1
B)2
C)5
D)200
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Chapter 16: Other Statistical Parameters and Tests
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Sample Questions
Q1) Canonical correlation comes closest to being a technique related to A)correlation
B)regression
C)factor analysis
D)all of the above
Q2) The number of new verified cases of a disease in a year is called
A)prevalence
B)incidence
C)likelihood
D)number of new cases
Q3) Which of the following is not true of ANCOVA?
A)covaries the effect of one or more nuisance variables
B)covaries the effect of one or more nuisance variables on the independent variable
C)covaries the effect of one or more nuisance variables on the dependent variable
D)covaries the effect of one or more confounding variables
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