*Identify the null and alternative hypotheses for an experiment with one population proportion
*Compute the value of the test statistic (z-value) for a hypothesis test for proportion
*Determine the p-value for a hypothesis test for proportion
*Make a conclusion and interpret the results for a hypothesis test for proportion using the P-Value Approach
1. In manufacturing processes, it is of interest to know with confidence the proportion of defective parts. Suppose that we want to be reasonably certain that less than 5% of a company’s widgets are defective. To test this, we obtain a random sample of 300 widgets from a large batch. Each of the 300 is tested for defects, and 10 are determined to be defective, based upon the manufacturer’s standards. Using α = 0.01, is this evidence that less than 5% of the company’s widgets are defective? State the hypotheses, check the conditions, calculate the test statistic, find the p-value, and make a conclusion in a complete sentence related to the scenario.
2. In 1965, about 44% of the U.S. adult population had never smoked cigarettes. A national health survey of 1472 U.S. adults (selected randomly) during 2010 revealed that 677 had never smoked cigarettes. Using α = 0.05, test whether there has been a change since 1965 in the proportion of U.S. adults that have never smoked cigarettes. State the hypotheses, check the conditions, calculate the test statistic, find the p-value, and make a conclusion in a complete sentence related to the scenario.
Get Answers For Free
Most questions answered within 1 hours.