Calculators & Converters

    Z-Test (Z0, Ze & H0) for p1 = 0.65 & p2 = 0.72 with P Values 0.34 & 0.39

    Z-Test Calculator

    Work with steps, formula & calculation summary to estimate the Z-statistic (Z0), critical (table) value (Ze) for degrees of freedom & hypothesis test (H0) at a stated level of significance for difference between two sample proportions p1 = 0.65 & p2 = 0.72, P values of population probability P1 = 0.34 & P2 = 0.39 for sample size n1 = 89 & n2= 95 The below is the calculation summary for Z-statistic for the test of significance or hypothesis for difference between two sample proportions p1 = 0.65 & p2 = 0.72

    Calculation Summary
    Sample proportion p10.65
    Sample proportion p20.72
    Population probability P10.34
    Population probability P20.39
    Sample size n189
    Sample size n295
    Z00.9874

    Z-Test Work with Steps for p1 = 0.65, p2 = 0.72

    The below is the work with step by step calculation shows how to estimate the Z-statistic (Z0), critical (table) value (Ze) for degrees of freedom & hypothesis test (H0) at a stated level of significance for difference between two sample proportions p1 = 0.65 & p2 = 0.72 with known P values of population probability P1 = 0.34 & P2 = 0.39 for sample size n1 = 89 & n2= 95 may help grade school students to solve the similar Z-test statistic (Z0) worksheet problems efficiently.

    Workout :
    step 1 Address the formula input parameters and values
    Sample Proportion p1 = 0.65
    Sample Proportion p2 = 0.72
    Population Probability P1 = 0.34
    Population Probability P2 = 0.39
    Sample Size n1 = 89
    Sample Size n2 = 95
    z score value (z) = 0.7
    Formula
    Z0=p1 - p2
    ((P1Q1) / n1 + (P1Q1) / n2)



    step 2 Find Q1 and Q2 from P1 and P2 respectively
    Q1 = 1 - P1
    Q1 = 0.66
    Q2 = 1 - P2
    Q2 = 0.61

    step 3 Substitute p1, p2, P1, P2, Q1, Q2, n1 & n2 value in the below formula for test of significance for difference between two proportion having known P1 & P2 values.
    =0.65 - 0.72
    {(0.34 x 0.66) / 89} + {(0.39 x 0.61) / 95}


    step 4 Simplify the above expression
    =0.07
    {(0.34 x 0.66) / 89} + {(0.39 x 0.61) / 95}


    =0.07
    (0.2244 / 89) + (0.2379/95)


    =0.07
    0.0025213483146067 + 0.0025042105263158


    =0.07
    0.0050255588409225


    =0.070.0709

    Z0 = 0.9874

    Inference
    There is significance difference
    since the calculated value of Z0 = 0.9874 is greater than the table value of Ze = 0.7.
    Therefore the null hypothesis H0 is rejected.

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