6 - The null hypothesis for a chi-square contingency test of independence for two variables...
Question 1 In a chi -square test of independence , the null hypothesis states that-----------. a. the two variables of interest are related in the population. b. the column frequencies equal the row frequencies c. the sum of the and the column frequencies equal the total frequency d. the two variables of interest are unrelated in the population Question 2 A survey asked people whether they identified as a morning person, night person, or had no preference. a. 270 replied...
QUESTION 58 The chi-square test of independence does not allow us to state that one variable causes a change in another variable when the null hypothesis is rejected. True False QUESTION 59 When performing a hypothesis test to compare two or more population proportions, the expected frequencies must always be integer values. True False QUESTION 60
The chi-square test for independence is similar to a correlation in that it evaluates the relationship between two variables. True or false. Explain your answer.
Istanbul Aydin Oniversitesi Elektronik Sine S The Alternative Hypothesis (H)) for the Chi-Square test of independence should specify OA) that the two categorical variables are independent B) No of them C) that the two numerical variables are not independent OD) that the two categorical variables are not independent that the two numerical variables are independent
You are doing a chi- square test for independence and find a significant result. What can conclude? A The null hypothesis is correct and there is no difference in the proportion of count in your single row. B . The null hypothesis is incorrect and there is probably a relationship between the two variables of interest. C.The null hypothesis is correct and there is no relationship between your two variables of interest. D.The null hypothesis is incorrect and there is...
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
Skewness and kurtosis should not be tested when using the chi-square test of independence. True or False The major difference between the Mann-Whitney U-test and the Kruskal-Wallis H test is the number of independent variables. True or False
Both For the chi Square test of independence, ANOVA, and Regression, there are two variables. Match the data types to the statistical method: Question 9 options: 123 Chi Square Test for Independence 123 Regression 123 ANOVA 1. Categorical – Categorical 2. Categorical – Numerical 3. Numerical – Numerical
CH12 Q4 Given the following contingency table, conduct a test for independence at the 1% significance level. (You may find it useful to reference the appropriate table: chi-square table or F table) Variable A Variable B 31 34 32 58 a. Choose the null and alternative hypotheses. OH: The two variables are independent.; H: The two variables are dependent. 0 0: The two variables are dependent. ; HA: The two variables are independent. b. Calculate the value of the test...
How to write a Null Hypothesis and Alternative Hypothesis for two independent nominal Chi Square test. Example variable: 1. Currently have COPD 2. Visits to the Doctors