A sample of 120 people is classified by gender (male/female) and by whether or not they are registered voters. The sample consists of 70 females and 50 males, and has a total of 60 registered voters. If these data are used for a chi-square test for independence, what is the total number of females for the expected frequencies of voters?
A sample of 120 people is classified by gender (male/female) and by whether or not they...
A sample of 100 people is classified by gender (male/female) and by whether or not they are registered voters. The sample consists of 80 females and 20 males, and has a total of 60 registered voters. If these data were used for a chi-square test for independence, what is the expected frequency for males who are registered voters? Group of answer choices 12 40 20 60
QUESTION 5 A sample of 200 people is classified by whether or not they are smokers (yes/no) and whether or not they have hypertension (yes/no). The sample consists of 120 smokers, of whom 50 have hypertension, and 80 non-smokers, of whom 10 have hypertension. A chi-square test is used to test whether there is difference in hypertension between smokers and non-smokers. What is the value of the chi-square test? 01.19.4 O2.25.6 O3.32.8 04.28.9
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...
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...
a simple random sample of 250 classified adult subjects according to sex (male and female) and employment (unemployed and employed). of the 175 males in this sample, 140 are unemployed. there are 90 employed persons in this sample. construct two contingency table one table with observed frequencies the other with expected frequencies
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant difference between what we would expect results to be, and what the actual results were. That is, expected vs. observed. Use alpha = .05 Listed below are data from a survey conducted recently where Males and Females responded to their happiness with their supervisor (this is fictitious data). Response Male Female Total Not at all 23 25 48 Somewhat 13 22 35 Very 26 16 42...
Handedness Gender Right Male Right Female Right Male Right Female Right Male Right Female Right Male Right Female Right Male Right Male Right Male Left Female Right Female Left Male Left Male Right Female Right Female Right Female Left Male Left Male Right Male Right Male Left Male Right Male Right Female Handedness Right Right Left Right Right Right Right Right Left Left Right Right Right Right Right Right Right Left Right Right Right Right Right Right Left Gender Female...
Salary information regarding male and female employees of a large company is shown below. Male Female Sample Size 68 32 Sample Mean Salary (in $1,000s) 59 52 Population Variance (σ2) 272 160 In a test of whether or not the population average salary of males is significantly greater than that of females at α = 0.05, the p-value is 0.0098. a) The conclusion is that the population salaries of males and females are equal. b) there is no evidence that...
200 shoppers were classified by gender and by whether or not they made a purchase. The results are in the accompanying table. What is the probability that a randomly selected shopper will be someone who makes a purchase, given that the selected shopper is female? Purchase No Purchase Total Male 55 25 80 Female 100 20 120 Total 155 45 200 100/200 100/155 120/200 • 100/120