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    Anova test and analyze the data

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    Please view the attachment which more clearly defines my problem.

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    Choose two sets of hypothesis using ANOVA you can simulate your own data (n=20) Sample size =288. Ho=u2=u3 where u means population. H1:u1#u2#u3. where u means population. I am trying to figure out how to do this problem. Test two sets of hypothesis, Then analyze the findings.

    500 Responded/ Comparison between three surveys

    Legend for Chart:
    A-CareerWomen.com
    B-DiversitySearch.com
    C-MBACareers.com
    WHAT INSPIRES EMPLOYEES
    IN THE WORKPLACE?
    A B C
    Respect 94% 67% 64%
    Service 74 44 22
    Challenge 71 25 82
    Money 66 25 82
    Recognition 8 N/A 12
    Source: The Career Exposure Network

    Since here we are dealing with two variables, we have to test the hypothesis using two-way ANOVA. We have to consider the two variable effects on the job satisfaction.

    Three Surveys:

    1. Hypothesis: H0

    There is no difference in level of job satisfaction between three surveys with respect to the given attributes.

    Alternative Hypothesis: H1

    There is difference in level of job satisfaction between three surveys with respect to the given attributes.

    2. Inspiring Attributes:

    Null Hypothesis H0

    There is no difference in the level of job satisfaction between the Inspiring attributes with respect to three surveys.

    Alternate Hypothesis: H1

    There is difference in the level of job satisfaction between the Inspiring attributes with respect to the three surveys.

    Interaction effect can be tested using the two-way analysis of variance.

    Null Hypothesis: H0

    Inspiring attributes does not depend on the surveys.

    Alternative Hypothesis: H1

    Inspiring attributes depend on the surveys.
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    https://brainmass.com/statistics/analysis-of-variance/anova-test-and-analyze-the-data-54257

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    Solution Summary

    Two sets of hypothesis using ANOVA which can simulate the population mean are analyzed. A null hypothesis is used.

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