Test Bank Essentials of Statistics for the Behavioral Sciences, 10th Edition By Frederick Gravetter, Larry Wallnau, Lori-Ann Forzano, James Witnauer

Test Bank For
Essentials of Statistics for the
Behavioral Sciences, 10th Edition By
Frederick Gravetter, Larry Wallnau,
Lori-Ann Forzano, James Witnauer
(All Chapters 1-15, 100%
Original Verified, A+ Grade)


All Chapters Arranged Reverse:
15-1


This is The Original Test Bank
For 10th Edition, All other Files in
The Market are
Fake/Old/Wrong Edition.

,
,Chapter 15
1. The data for a chi-square test consists of _____.
a. numerical scores
b. non-numerical categories
c. ranks
d. frequencies
ANSWER: d
DIFFICULTY: Understand
REFERENCES: 15.1 Introduction to Chi-Square: The Test for Goodness of Fit
KEYWORDS: Bloom’s: Understand

2. Which values are specified by the null hypothesis for a chi-square goodness-of-fit test?
a. frequencies for a sample
b. frequencies for a population
c. proportions for a sample
d. proportions for a
population
ANSWER: d
DIFFICULTY: Understand
REFERENCES: 15.1 Introduction to Chi-Square: The Test for Goodness of Fit
KEYWORDS: Bloom’s: Understand

3. Which of the following best describes the possible values for a chi-square statistic?
a. The chi-square statistic is always a positive whole number.
b. The chi-square statistic is always positive but can contain fractions or decimal values.
c. The chi-square statistic can be either positive or negative but is always a whole
number.
d. The chi-square statistic can be either positive or negative and can contain fractions or
decimals.
ANSWER: b
DIFFICULTY: Understand
REFERENCES: 15.1 Introduction to Chi-Square: The Test for Goodness of Fit
KEYWORDS: Bloom’s: Understand

4. How does the difference between fe and fo influence the outcome of a chi-square goodness-of-fit test?
a. The larger the difference, the larger the computed chi-square value and the greater the
likelihood of rejecting the null hypothesis.
b.The larger the difference, the larger the computed chi-square value and the lower the
likelihood of rejecting the null hypothesis.
c. The larger the difference, the smaller the computed chi-square value and the greater
the likelihood of rejecting the null hypothesis.
d.The larger the difference, the smaller the computed chi-square value and the lower the
likelihood of rejecting the null hypothesis.
ANSWER: a
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, DIFFICULTY: Understand
REFERENCES: 15.1 Introduction to Chi-Square: The Test for Goodness of Fit
KEYWORDS: Bloom’s: Understand

5. What is referred to by the term observed frequencies?
a. the frequencies found in the sample data classified into each category
b. the frequencies found in the population being examined
c. the frequencies computed from the null hypothesis
d. the frequencies that are hypothesized for the population being
examined
ANSWER: a
DIFFICULTY: Remember
REFERENCES: 15.1 Introduction to Chi-Square: The Test for Goodness of Fit
KEYWORDS: Bloom’s: Remember

6. What is referred to by the term expected frequencies?
a. the frequencies found in the sample data classified into each category
b. the frequencies found in the population being examined
c. the frequencies computed from the null hypothesis
d. the frequencies that are hypothesized for the population being
examined
ANSWER: c
DIFFICULTY: Remember
REFERENCES: 15.1 Introduction to Chi-Square: The Test for Goodness of Fit
KEYWORDS: Bloom’s: Remember

7. Which of the following is an accurate comparison between the expected and observed frequencies for a chi-square test?
a. Expected frequencies can contain fractions or decimal values, and observed
frequencies are always whole numbers.
b.Observed frequencies can contain fractions or decimal values, and expected
frequencies are always whole numbers.
c. Expected frequencies can contain negative values, and observed frequencies are
always positive values.
d.Observed frequencies can contain negative values, and expected frequencies are
always positive values.
ANSWER: a
DIFFICULTY: Understand
REFERENCES: 15.1 Introduction to Chi-Square: The Test for Goodness of Fit
KEYWORDS: Bloom’s: Understand

8. Which factor below is required in a nonparametric test?
a. a normal (symmetrical) distribution
b. homogeneity of variance
c. numerical scores
d. None of these factors are required in a nonparametric test.
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