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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

  1. 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.
    1. Complete the ANOVA table below by filling in the shaded boxes
    2. Find the appropriate critical value(s) [ ]
    3. Does count of parking tickets vary by parking lot?

Source SS Df MS F
Between 450
Within
Total 930

  1. 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).

  1. Complete the ANOVA table below by filling in the shaded boxes
  2. Find the appropriate critical value(s) [ ]
  3. Does job search duration vary with educational attainment?
Source SS Df MS F
Between 3,444
Within 4,480
Total

  1. 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.
    1. Complete the ANOVA table below by filling in the shaded boxes
    2. Find the appropriate critical value(s) [ ]
    3. 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

  1. 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.
    1. Complete the ANOVA table below by filling in the shaded boxes
    2. Find the appropriate critical value(s) [ ]
    3. 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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