Assuming $\sigma$2 = 4.56 and N = 80, what is the phi coefficient?

A) .15 B) .20 C) .24 D) .55 A) .15 B) .20 C) .24 D) .55

The measure of effect size used with the $\chi$2 test of independence is:

A) Cohen's d. B) r2. C) the phi coefficient. D) the point-biserial coefficient. A) Cohen's d. B) r2. C) the phi coefficient. D) the point-biserial coefficient.

Assuming$\sigma$2= 3.49 and N= 75, what is the phi coefficient?

A) .15 B) .22 C) .35 D) .55 A) .15 B) .22 C) .35 D) .55

What is the $\chi$2cv if $\chi$2obt = 3.99, with df = 1

A) 2.706 B) 5.024 C) 5.992 D) 3.841 A) 2.706 B) 5.024 C) 5.992 D) 3.841

Exam 17: Chi-Square Tests

You notice in your introductory psychology class that more men tend to sit near the door and more women opposite the door. In order to determine whether this difference is significant, you collect data on the seating preferences for the students in your class. The data are given below. Males Females -Conduct the appropriate analysis.

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Question 1

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$\chi$ ² (1, N = 71) = 4.99, p < .05.

What are the assumptions of the $\chi$ ² test of independence?

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Question 2

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The assumptions of the $\chi$ ² test are that the sample is random, the observations are independent, the data are nominal, and the number of observations in each cell should not be less than 5.

If I calculated the phi coefficient to be .35, what would this mean?

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Question 3

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If RT = 25, CT = 40, and N = 75, what is the expected frequency?

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Question 4

Assuming $\sigma$ ² = 4.56 and N = 80, what is the phi coefficient?

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Question 5

You notice in your introductory psychology class that more men tend to sit near the door and more women opposite the door. In order to determine whether this difference is significant, you collect data on the seating preferences for the students in your class. The data are given below. Males Females -What statistical test should be used to analyze these data?

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Question 6

If I calculated the phi coefficient to be .65, what would this mean?

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Question 7

According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink alcohol now than they did in 1985. A sample of 100 adults is asked about their current drinking habits and 67 reported drinking and 33 reported not drinking. -What is $\chi$ ²_obt?

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Question 8

You notice in your introductory psychology class that more men tend to sit near the door and more women opposite the door. In order to determine whether this difference is significant, you collect data on the seating preferences for the students in your class. The data are given below. Males Females -Should H0 be rejected? What should the researcher conclude?

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Question 9

The formula for calculating the phi coefficient is _____.

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Question 10

You notice in your introductory psychology class that more men tend to sit near the door and more women opposite the door. In order to determine whether this difference is significant, you collect data on the seating preferences for the students in your class. The data are given below. Males Females -Identify H0 and Ha for this study.

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Question 11

If I calculated the phi coefficient to be .15, what would this mean?

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Question 12

According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink alcohol now than they did in 1985. A sample of 100 adults is asked about their current drinking habits and 67 reported drinking and 33 reported not drinking. -What is (are) the df for this test?

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Question 13

For the ?² test of independence, which of the following formulas is used to calculate the expected frequencies?

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Question 14

The measure of effect size used with the $\chi$ ² test of independence is:

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Question 15

Parametric is to nonparametric as _ is to _.

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Question 16

Assuming $\sigma$ ²= 3.49 and N= 75, what is the phi coefficient?

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Question 17

What is the $\chi$ ²_cv if $\chi$ ²_obt = 3.99, with df = 1

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Question 18

According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink alcohol now than they did in 1985. A sample of 100 adults is asked about their current drinking habits and 67 reported drinking and 33 reported not drinking. -What is $\chi$ ²_cv?

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Question 19

If RT = 75, CT = 50, and N = 100, what is the expected frequency?

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Question 20

Showing 1 - 20 of 21

What are the assumptions of the $\chi$ ² test of independence?

If I calculated the phi coefficient to be .35, what would this mean?

If RT = 25, CT = 40, and N = 75, what is the expected frequency?

Assuming $\sigma$ ² = 4.56 and N = 80, what is the phi coefficient?

If I calculated the phi coefficient to be .65, what would this mean?

The formula for calculating the phi coefficient is _____.

If I calculated the phi coefficient to be .15, what would this mean?

For the ?² test of independence, which of the following formulas is used to calculate the expected frequencies?

The measure of effect size used with the $\chi$ ² test of independence is:

Parametric is to nonparametric as _ is to _.

Assuming $\sigma$ ²= 3.49 and N= 75, what is the phi coefficient?

What is the $\chi$ ²_cv if $\chi$ ²_obt = 3.99, with df = 1

If RT = 75, CT = 50, and N = 100, what is the expected frequency?

Science and Statistics

Organizing Data, Variables and Measurement

Measures of Central Tendency

Measures of Variation

Standard Scores Z Scores

Probability, Hypothesis Testing and Inferential Statistics

The Single-Sample Z Test

The Single-Sample T Test

The T Test for Independent Groups Samples

T Test for Correlated Groups Samples

Comparing More Than Two Groups

One-Way Between-Subjects Analysis of Variance Anova

One-Way Repeated Measures Anova

Using Designs With More Than One Independent Variable and Two-Way Between-Subjects Anova

Correlational Research and Correlation Coefficients

Advanced Correlational Techniques: Regression Analysis

Tests for Ordinal Data

Filters

Exam 17: Chi-Square Tests

What are the assumptions of the χ\chiχ 2 test of independence?

If I calculated the phi coefficient to be .35, what would this mean?

If RT = 25, CT = 40, and N = 75, what is the expected frequency?

Assuming σ\sigmaσ 2 = 4.56 and N = 80, what is the phi coefficient?

If I calculated the phi coefficient to be .65, what would this mean?

The formula for calculating the phi coefficient is _____.

If I calculated the phi coefficient to be .15, what would this mean?

For the ?2 test of independence, which of the following formulas is used to calculate the expected frequencies?

The measure of effect size used with the χ\chiχ 2 test of independence is:

Parametric is to nonparametric as _____ is to _____.

Assuming σ\sigmaσ 2= 3.49 and N= 75, what is the phi coefficient?

What is the χ\chiχ 2cv if χ\chiχ 2obt = 3.99, with df = 1

If RT = 75, CT = 50, and N = 100, what is the expected frequency?

Science and Statistics

Organizing Data, Variables and Measurement

Measures of Central Tendency

Measures of Variation

Standard Scores Z Scores

Probability, Hypothesis Testing and Inferential Statistics

The Single-Sample Z Test

The Single-Sample T Test

The T Test for Independent Groups Samples

T Test for Correlated Groups Samples

Comparing More Than Two Groups

One-Way Between-Subjects Analysis of Variance Anova

One-Way Repeated Measures Anova

Using Designs With More Than One Independent Variable and Two-Way Between-Subjects Anova

Correlational Research and Correlation Coefficients

Advanced Correlational Techniques: Regression Analysis

Tests for Ordinal Data

Filters

What are the assumptions of the $\chi$ ² test of independence?

Assuming $\sigma$ ² = 4.56 and N = 80, what is the phi coefficient?

For the ?² test of independence, which of the following formulas is used to calculate the expected frequencies?

The measure of effect size used with the $\chi$ ² test of independence is:

Parametric is to nonparametric as _ is to _.

Assuming $\sigma$ ²= 3.49 and N= 75, what is the phi coefficient?

What is the $\chi$ ²_cv if $\chi$ ²_obt = 3.99, with df = 1