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    ANOVA Test Comparison

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    Here is the problem and I need help I am in a group and no one is helping me. I have talked to the teacher and now i have to do it by myself and turn in the assignment. I have struggling bad in this class. PLEASE HELP ME.

    In this regard, remember the goal will be to work through an ANOVA test to compare the means of three or more groups of data. If the article your group selected does not have enough data to complete an ANOVA calculation, please feel free to create the data as needed. Remember to also ensure that you begin by stating the null and alternative hypotheses. Your final answer should point out if you are rejecting or failing to reject the null and why. Please show as much work as possible.

    I am attaching a copy of the summary of the article. I know that the data is hard to read in this format but here is the link to the article. http://www.thesportjournal.org/2003Journal/Vol6-No1/satisfaction.asp

    The three groups of data that we have decided to go with are:
    1. Male Athletic Trainer
    2. Bachlors Degree
    3. Trainers with 1-5 years

    I do not know if I am doing this right or wrong. If I chose the right three groups or not.

    I need help with stating the null hypothesis and the alternative hypothesis.

    I also need help with the Z-TEST I do not know how to do it and if you could please help me do it and show me the steps.

    Here is the data from the article:

    Job Satisfaction among Athletic Trainers Based on Their Demographic Characteristics Variable General Satisfaction
    Mean SD F p
    152.875 .000
    Program director 3.58 0.27
    Faculty 3.47 0.26

    Head athletic trainer 2.85 0.28

    Assistant athletic trainer 2.47 0.25

    Graduate assistant 1.40 0.50

    Gender 20.401 .000

    Female 2.21 0.59

    Male 2.73 0.76


    17.709 .000

    20's 2.11 0.73

    30's 2.81 0.48

    40's 2.94 0.57

    50's 2.96 0.44

    3.149 .046

    Bachelors 2.30 0.87

    Masters 2.56 0.65

    Doctorate 2.83 0.44

    19.826 .000
    1-5 years 2.00 0.78
    6-10 years 2.78 0.50
    11-15 years 2.74 0.42
    16 or more years 2.85 0.52

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    Solution Preview

    3. ANOVA test
    a. Introduction: statement of the problem/situation being analyzed and source of data used.

    For analyzing the job satisfaction using ANOVA technique, I have selected the study by Herrera et al (2003). This study analyzes the job satisfaction levels of certified athletic trainers in selected NCAA Division IAA institutions. The amount of responsibility and stress attached with the job of the trainers the authors found a compelling need for conducting this study to understand the job satisfaction level among the certified athletic trainers.

    For the ANOVA test, we investigate whether the satisfaction level of the trainers vary with their education qualification. There are bachelor, masters and doctoral degree holders.

    b. Null hypothesis: mu#1=mu#2=mu#3
    c. Alternate hypothesis: The mean satisfaction level of three education qualification groups of trainers is not same.

    Data recreated and presented below:

    d. Testing that requirements of ANOVA are met:
    (i) test/assumptions regarding normality: The complete data not available but the research articles says that the condition of ...

    Solution Summary

    This Solution contains data used to complete the given comparison using ANOVA analysis.