The null and alternate hypotheses are:   H0 : μd ≤ 0 H1 : μd > 0   The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month.     Day   1 2 3 4 Day shift 10 10 16 17 Afternoon shift 9 10 14 15     At the 0.100 significance level, can we conclude there are more defects produced on the day shift? Hint: For the calculations, assume the day shift as the first sample.   State the decision rule. (Round your answer to 2 decimal places.)     Compute the value of the test statistic. (Round your answer to 3 decimal places.)     What is the p-value?   multiple choice 1 Between 0.025 and 0.05 Between 0.001 and 0.005 Between 0.005 and 0.01     What is your decision regarding H0?   multiple choice 2 Reject H0 Do not reject H0

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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.