As you get closer to the final project in Week 6, you should have a better idea of the role of statistics in research. This week, you will calculate a one-way ANOVA for the independent groups. Reading and interpreting the output correctly is highly important. Most people who read research articles never see the actual output or data; they read the results statements by the researcher, which is why your summary must be accurate.
Consider your hypothesis statements you created in Part 2.
Hypothesis. Males have higher happiness rating scores at the workplace than females.
Null hypothesis. There is no difference in the happiness rating scores between males and females.
H0 : µ1 – µ2 = 0 or H0 : µ1 = µ2
Alternative hypothesis. Males’ happiness rating scores are higher than those of females.
H1 : µ1 – µ2 ≠ 0 or H1 : µ1 > µ2
Calculate a one-way ANOVA, including a Tukey’s HSD for the data from the Happiness and Engagement Dataset.
Write a 125- to 175-word summary of your interpretation of the results of the ANOVA, and describe how using an ANOVA was more advantageous than using multiple t tests to compare your independent variable on the outcome.
Copy and paste your Microsoft® Excel® output below the summary. I should only receive ONE uploaded Word document. Please ensure you place your Excel output right into your Word document.
Format your summary according to APA format. Include the proper title and reference pages. Ensure you follow APA 6th edition formatting guidelines.
Submit your summary, including the Microsoft® Excel® output within that document to the assignment upload area.
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