Graduate Statistics

Statistics for Behavioral Science

Directions: Please read the instructions for each section, remember you must use original work and must cite all information!

Part I

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.

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.

Format your summary according to APA format.

Submit your summary, including the Microsoft® Excel® output to the assignment

Part II

Directions: Answer each question using the minimum 0f 175 words. Comment by Bethune, Latonya D.:

1. What is ANOVA?

2. Using the sample provided, address the following:

a. How would you interpret the results of the ANOVA?

b. What does the p value tell you?

c. The results mention df. What does that term represent? How is it calculated? Write a plainly stated sentence that explains what these results tell you about the groups

Part III

Directions: Please read the instructions below as this is a group assignment. I am only responsible for Conduct a one-way ANOVA for moderate frequency exercisers

The following questions require that you access Microsoft® Excel® for analysis. The team must work together to solve these questions. The data set for this assignment is located in the Pulse Rate Dataset.

1. John is interested in determining if frequency of exercise affects pulse rate. John randomly samples individuals at a local gym to ask if they will participate in his study. 55 individuals agree, and they are divided into three groups of exercisers: 1 = high frequency, 2 = moderate frequency, 3 = low frequency. Next, John measures their pulse after their workout. Do pulse rates differ among individuals who exercise with high frequency versus those who exercise moderately versus those who exercise with low frequency?

Note: Make sure you adjust the data so that there are three exercise variables (one for each level).

Conduct a one-way ANOVA to investigate the relationship between exercise frequency (Exercise) and pulse rate (Pulse1). Conduct Tukey’s HSD post hoc tests, if necessary. On the output, identify the following:

a. F ratio for the group effect

b. Sums of squares for the exercise effect

c. Mean for moderate exercisers

d. P value for exercise effect