hypothesizes that people with a shorter commute time will have higher degrees of job satisfaction. Randomly sampling 600 commuters, t finds the following data listed in frequencies: Job Satisfaction Number Who Commute 20 Minutes or Less Number Who Commute 21 to 40 Minutes Number Who Commute 41 Minutes or More Total Number for Each Level of Job Satisfaction Dissatisfied 10 60 140 210 Neutral 45 59 51 155 Satisfied 145 60 30 235 Total Number for Each Commute Time Range 200 179 221 600 These's a chi-square of 202.5 with four degrees of freedom. 1. What's the IV, DV, UA, and direction of the relationship 2. . How the IV percent distribution changes in relation to the DV 3. what level of significance to use, and how the chi-square statistic obtained from the sample compares to its critical value
hypothesizes that people with a shorter commute time will have higher degrees of job satisfaction. Randomly sampling 600 commuters, t finds the following data listed in frequencies:
|
Job Satisfaction |
Number Who Commute 20 Minutes or Less |
Number Who Commute 21 to 40 Minutes |
Number Who Commute 41 Minutes or More |
Total Number for Each Level of Job Satisfaction |
|
Dissatisfied |
10 |
60 |
140 |
210 |
|
Neutral |
45 |
59 |
51 |
155 |
|
Satisfied |
145 |
60 |
30 |
235 |
|
Total Number for Each Commute Time |
200 |
179 |
221 |
600 |
These's a chi-square of 202.5 with four degrees of freedom.
1. What's the IV, DV, UA, and direction of the relationship
2. . How the IV percent distribution changes in relation to the DV
3. what level of significance to use, and how the chi-square statistic obtained from the sample compares to its critical value
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