How do you classify the strength of the relationship based on the value of the statistic identified in a chi square independence chart?
The relationship is strong if the value of the statistic is large and it gets weaker and weaker as the value of the statistic decreases.
How do you classify the strength of the relationship based on the value of the statistic...
When we carry out a chi-square test of independence, the chi-square statistic is based on (rxc)-1 degrees of freedom, where r and c denote, respectively, the number of rows and columns in the contingency table. True or false
Effect size for the chi-square test for independence 1.Which of the following statements are correct about the phi-coefficient? Check all that apply. a.It can be used as a measure of the significance of a relationship between two dichotomous variables. b.It is the same as Cramer’s V when the data are a 2 x 2 matrix. c.It can be used as a measure of the strength of a relationship between two dichotomous variables. d.It can be used as a measure of...
11. Effect size for the chi-square test for independence Aa Aa Which of the following statements are correct about the phi-coefficient? Check all that apply. It is determined only by the proportions in a 2 x 2 data matrix. It is the same as Cramer's V when the data are a 2 x 2 matrix. It can be used as a measure of the significance of a relationship between two dichotomous variables. * It can be used as a measure...
QUESTION 16 A researcher is using a chi-square test for independence to evaluate the relationship between birth-order position and self-esteem. Each individual is classified as being 1 st born, 2nd bom, or 3rd bom, and self- esteem is categorized as either high or low. For this study, what is the df value for the chi-square statistic? a. 3 b. 1 C. 2 O d. 4
4. In this question, you will examine the relationship between survival and gender. (a) Obtain the contingency table of survival by gender. Make sure that Row percent, Column percent, and Chi-Square options are checked in each contingency table dialog box. Paste the table into your report. Using a = 0.01, test that there was no relationship between survival and gender. State the null and alternative hypotheses. Report the value of the appropriate test statistic, the distribution of the test statistic...
1. Show how the expected value is calculated for the top left cell, that is for Generation Z who said "yes" b. Show how the contribution to the test statistic is calculated for the top left, cell that is for Generation Z who said "Yes" c, show how the degrees of freedom are calculated d, give your brief conclusion based on the strength of the evidence X II. Minitab - Minitab math 2209 assgn 2.mpx File Edit Data Calc Stat...
In order to receive credit for the homework, you must show all steps for doing a chi square test of independence. These steps include: null and alternative hypothesis); critical value; calculations (show work); reject or accept H; results statement using no relationship or a relationship. 3. A researcher wishes to determine if there is a relationship between education and place of residence. From the Minitab chi square analysis, below, what are the results at a = 0.05? N otege degree...
Which of the following statements are correct about the phi-coefficient? Check all that apply. X It can be used as a measure of effect size. It is determined only by the proportions in a 2 x 2 data matrix x It is the same as Cramer's V when the data are a 2 x 2 matrix. It can be used as a measure of the significance of a relationship between two dichotomous variables. Suppose you are looking at the relationship...
Suppose you obtain a chi-square statistic of 67.81. Are your results statistically significant if the critical value obtained from the distribution of chi-square is 3.84 with an alpha level of .05?
In order to receive credit for the homework, you must show all steps for doing a chi square test of independence. These steps include: null and alternative hypothesis); critical value; calculations (show work); reject or accept H; results statement using no relationship or a relationship. Is there a relationship between drinking coffee and age. From the Minitab chi square analysis, a=0.05? Rows: C1 Columns: Worksheet columns Low Moderate High All 21-31 18 16 12 46 31-40 9 15 27 51...