To begin answering our original question, test the claim that the proportion of children from the low income group that drew the nickel too large is greater than the proportion of the high income group that drew the nickel too large. Test at the 0.05 significance level. Recall 24 of 40 children in the low income group drew the nickel too large, and 11 of 35 did in the high income group. a) If we use LL to denote the low income group and HH to denote the high income group, identify the correct alternative hypothesis. H1:pLpHH1:pL>pH H1:pL≠pHH1:pL≠pH H1:μL<μHH1:μL<μH H1:μL>μHH1:μL>μH Correct b) The test statistic value is:    c) Using the P-value method, the P-value is:  d) Based on this, we Reject H0H0 Fail to reject H0H0 Correct e) Which means The sample data supports the claim There is not sufficient evidence to warrant rejection of the claim There is sufficient evidence to warrant rejection of the claim There is not sufficient evidence to support the claim

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.