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    Statistics - Five Step Hypothesis

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    Five Step Hypothesis

    Null should be: There is a difference between male and female salaries at all levels

    ALternate should be: There is no difference between male and female salaries at all levels.

    The conclusion of the parametric should be "Do Not Reject Ho"

    contingency table Observed
    Education male female total
    High School 28 33 61
    2 year college 8 7 15
    4 years or higher 17 6 23 #NAME?
    total 53 46 99

    contingency table Expected
    Null should be:  There is a difference between male and female salaries at all levels male female total
    32.65656566 28.34343434 61
    ALternate should be: There is no difference between male and female salaries at all levels. 8.03030303 6.96969697 15
    12.31313131 10.68686869 23
    The conclusion of the parametric should be "Do Not Reject Ho"   53 46 99

    contingency table Chi-sq computations F-Test Two-Sample for Variances
    Education male female
    High School 0.663989102 0.765030922 Variable 1 Variable 2
    2 year college 0.000114351 0.000131752 Mean 0.816037512 0.940217133
    4 years or higher 1.784009082 2.055488725 Variance 0.812909142 1.079140727
    total 5.268763934 chi sq Observations 3 3
    df 2 2
    F 0.753292987
    P(F<=f) one-tail 0.42964467
    F Critical one-tail 0.052631579
    df 4
    Alpha 0.05
    Critical value 9.487729037
    conclusion Do Not Reject Ho

    =IF(Chi_Sq>Crit_Val, "Reject Ho", "Do Not Reject Ho")

    © BrainMass Inc. brainmass.com June 3, 2020, 11:05 pm ad1c9bdddf
    https://brainmass.com/statistics/hypothesis-testing/statistics-five-step-hypothesis-263141

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