Please see the attached file for full description.
The General Social Survey is an annual survey given to a random selection of about adults in the United States. Among the many questions asked are "What is the highest level of education you've completed?" and "If you're employed full-time, how many hours do you spend working at your job during a typical week?"
We're interested in examining whether or not there are differences in the typical work week length based on the level of education of the worker. We perform a one-way, independent-samples ANOVA test, with the "groups" in the ANOVA being categories of highest educational degree of the worker ("less than high school," "bachelor's degree," etc.) and the variable being the number of hours written down by the worker in answering the survey question.
Step by step method for testing the hypothesis under 5 step approach is discussed here. Excel template for each problem is also included. This template can be used to obtain the answers of similar problems.
Job Satisfaction ANOVA
Provide research on Job Satisfaction. Again, use the Business Source Premier Database and/or the ABI Inform Global database from the Internet and write up a short 2-page report on the topic.
The article you choose should include the terms Job Satisfaction AND ANOVA, or Job Satisfaction AND One-Way ANOVA.
1. Research the topic of Job Satisfaction using the Business Source Premier Database (EBSCO) and/or the ABI Inform Global database from the Internet.
2. Provide a 2 page write-up of the research highlighting where statistical analysis is being used and why it's used.View Full Posting Details