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QUESTION 1 The Pearson Product-Moment correlation test requires two nominal vari

ID: 3327032 • Letter: Q

Question

QUESTION 1

The Pearson Product-Moment correlation test requires two nominal variables, with each having more than two levels.

True or False

QUESTION 2

What is an appropriate question for qualitative descriptive statistics?

a. What are the frequencies and percentages of men and women in the sample? b. What are the means (M) and standard deviations (SD) for participants’ age and height? c. What is the relationship between salary, measured in dollars, and age, measured in years?

QUESTION 3

The mean (average) is a commonly used measure of _____. a. central tendency b. dispersion c. effect size

QUESTION 4

The ANOVA is appropriate when the independent variable is a _____ scale of measurement. a. nominal b. ordinal c. interval

QUESTION 5

The results of the Levene’s Test of Equality of Variances is Sig. (p) = .01. This means: a. The assumption of equal variances was not violated. b. The assumption of equal variances was violated. c. There is no such test used for the Pearson Product-Moment correlation test.

QUESTION 6

Which of the following independent variables would be appropriate for the ANOVA? a. Gender, with two levels, male and female b. Political affiliation, with three levels, Republican, Democrat, and Independent

QUESTION 7

A researcher conducts a Pearson Product-Moment correlation test to examine the relationship between age and height. A researcher reports the following statistical results: r = .55, n = 324, p < .001. This means: a. Age is the dependent variable. b. Age is the independent variable. c. There is no distinction between independent and dependent variables.

QUESTION 8

A researcher conducts a Pearson Product-Moment correlation test to examine the relationship between age and height. A researcher reports the following statistical results: r = .55, n = 324, p < .001. This means: a. There is a large relationship b. There is a small relationship c. There is a medium relationship

QUESTION 9

Multiple linear regression requires the use of more than one predictor variable.

True or False

QUESTION 10

Which of the following measures of effect size are appropriate for multiple linear regression?

a. Spearman’s correlation coefficient, part correlation, partial correlation b. R squared, part correlation, partial correlation

Explanation / Answer

QUESTION 1

The Pearson Product-Moment correlation test requires two nominal variables, with each having more than two levels.

False, because Pearson Product-Moment correlation is calculated between two numerical variable and not for nominal variables.

QUESTION 2

What is an appropriate question for qualitative descriptive statistics?

a. What are the frequencies and percentages of men and women in the sample? b. What are the means (M) and standard deviations (SD) for participants’ age and height? c. What is the relationship between salary, measured in dollars, and age, measured in years?

The correct answer is a) because we can count the frequency of qualitative variable and then convert it into percenge. the last two are an examples of quantitative variables.

QUESTION 3

The mean (average) is a commonly used measure of _____. a. central tendency b. dispersion c. effect size

The correct answer is a. central tendency

QUESTION 4

The ANOVA is appropriate when the independent variable is a _____ scale of measurement. a. nominal b. ordinal c. interval

the correct anser is c. interval scale.

Because we can not find mean in the either two types.

QUESTION 5

The results of the Levene’s Test of Equality of Variances is Sig. (p) = .01. This means: a. The assumption of equal variances was not violated. b. The assumption of equal variances was violated. c. There is no such test used for the Pearson Product-Moment correlation test.

b. The assumption of equal variances was violated.

Because we reject null hypothesis as the two variance are equal and accept alternative hypothesis as the two variances are not equal.

QUESTION 6

Which of the following independent variables would be appropriate for the ANOVA? a. Gender, with two levels, male and female b. Political affiliation, with three levels, Republican, Democrat, and Independent

b. Political affiliation, with three levels, Republican, Democrat, and Independent

Because we used ANOVA for more than two groups. For only two groups we can used t-test.

QUESTION 7

A researcher conducts a Pearson Product-Moment correlation test to examine the relationship between age and height. A researcher reports the following statistical results: r = .55, n = 324, p < .001. This means: a. Age is the dependent variable. b. Age is the independent variable. c. There is no distinction between independent and dependent variables.

There is no distinction between independent and dependent variables. Because Pearson Product-Moment correlation is related to the measure of degree of association is significant or not significant between the two quantitative variables.

QUESTION 8

A researcher conducts a Pearson Product-Moment correlation test to examine the relationship between age and height. A researcher reports the following statistical results: r = .55, n = 324, p < .001. This means: a. There is a large relationship b. There is a small relationship c. There is a medium relationship

Since p-value is very small so we can say that there is a large relationship between age and height.

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