Question
Module 11 Problem Set SOC 3391- Spring 2023 Due 3/28/2022 TTU Parking wants to understand what areas on campus receive the most parking citations. They
Module 11 Problem Set
SOC 3391- Spring 2023
Due 3/28/2022
- TTU Parking wants to understand what areas on campus receive the most parking citations. They collate data from 30 observations collected in six specific large lots.
- Complete the ANOVA table below by filling in the shaded boxes
- Find the appropriate critical value(s) [ ]
- Does count of parking tickets vary by parking lot?
Source | SS | Df | MS | F |
Between | 450 | |||
Within | ||||
Total | 930 |
- To study whether education attainment is associated with the time it takes to find a new job, researchers gather data from 20 respondents with 4 levels of educational attainment (less than high school, high school, some college, and college or more).
- Complete the ANOVA table below by filling in the shaded boxes
- Find the appropriate critical value(s) [ ]
- Does job search duration vary with educational attainment?
Source | SS | Df | MS | F |
Between | 3,444 | |||
Within | 4,480 | |||
Total |
- Following up on Problem 2, you decide to examine these educational attainment categories in conjunction with sex (male or female). The sample size is still 20 respondents.
- Complete the ANOVA table below by filling in the shaded boxes
- Find the appropriate critical value(s) [ ]
- Does job search duration vary significantly by educational attainment, sex, or their interaction? Clearly answer for each.
Source | SS | df | MS | F |
Educational Attainment | 1,986 | |||
Sex | 988 | |||
Interaction | 600 | |||
Within | 262.5 | |||
Total |
- Researchers are interested in whether the average time spent on a phones varies by region and age group. They gather information from four different regions and five different age groups (Under 18, 18-29, 30-45, 46-64, 65+). With data from 50 respondents, they create the following ANOVA table.
- Complete the ANOVA table below by filling in the shaded boxes
- Find the appropriate critical value(s) [ ]
- Does cell phone screen time vary significantly with region, age group, or their interaction? Clearly answer for each.
Source | SS | df | MS | F |
Region | 3,474 | |||
Age Group | 20,844 | |||
Interaction | 20,844 | |||
Within | 34,740 | |||
Total |
5. School district officials are curious if test scores vary across the four high schools in their district. They gather standardized test scores from students at these 4 schools. The variables in the dataset are as follows:
School: Which school the student attends
Score: Score on standardized test
For the Excel data, the data are organized with each column containing the test scores for a single school.
Using either ps11_school.xlsx or ps11_school.sav, test whether test score significantly differs across schools ( ). Include program output for the problem in addition to your answer.
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