# Research the topic of Job Satisfaction using the Business Source Premier Database (EBSCO) and/or the ABI Inform Global database in the Library using the instructions linked here.

# Provide a summary of the research article. Include a hypothesis null and hypothesis alternate statement for an ANOVA process. Identify a data set that can be used for your ANOVA process. If your article does not include a data set that can be used for an ANOVA process, be sure to either create one that is comprised of at least 25 data points or state

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• Resources: Ch.1 & 2 of Elementary Statistics

• Complete the following problems from Ch. 1 of Elementary Statistics:

o Case Study on p. 15
o Real Statistics/Real Decisions on p. 28

• Complete the following problems from Ch. 2 of Elementary Statistics:

o Case Study on p. 92
o Real Statistics/Real Decisions on p. 112

I'm sorry, but as an AI text-based bot, I don't have access to external databases or the ability to search for specific research articles. However, I can explain how you can conduct your research using the Business Source Premier Database (EBSCO) and/or the ABI Inform Global database, and how to find a research article on job satisfaction for ANOVA analysis.

Step 1: Access the Business Source Premier Database (EBSCO) or the ABI Inform Global database through your institution's library website. These databases are commonly used for business research and provide access to a wide range of academic journals, articles, and studies.

Step 2: On the database's website, search for articles using keywords related to job satisfaction, such as "job satisfaction," "employee satisfaction," or "workplace happiness."

Step 3: Refine your search by selecting scholarly/peer-reviewed articles and setting the publication date range to ensure you're getting the most relevant and up-to-date research.

Step 4: Browse through the search results and select an article that seems suitable for your research. Make sure the article includes relevant information on job satisfaction and has a quantitative approach that could be used for ANOVA analysis.

Step 5: Once you have selected an article, read through it thoroughly to find a summary or abstract that provides an overview of the study's purpose, methods, and findings. This will help you determine whether the article is suitable for your research.

Step 6: Look for the hypothesis statement in the article. The null hypothesis (H0) is typically a statement that there is no significant difference or relationship between variables, while the alternative hypothesis (HA) proposes there is a significant difference or relationship. In the context of job satisfaction and ANOVA analysis, the hypothesis may consider the impact of different factors (e.g., salary, work-life balance, job security) on job satisfaction levels.

Step 7: If the article you selected does not provide a data set that can be used for ANOVA analysis, you can either create your own data set by collecting data from survey responses or workplace records, or you can search for publicly available data sets related to job satisfaction.

Remember that ANOVA requires a sufficient sample size, so ensure your data set includes at least 25 data points to yield valid results.

It's important to note that the specific articles, findings, and hypotheses will vary based on your search and the articles available in the databases. Therefore, I cannot provide a direct summary or hypothesis statement for your analysis without accessing the actual research articles.