Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Ho: p=0.5 versus H,: p>0.5 n= 100; x 60; a 0.01 Click here to view page 1 of the table Click here to view page 2 of the table.

Use the expression in the accompanying discussion of sample size to find the size of each sample if you want to estimate the difference between proportions of men and women who consume medication daily. Assume that you want 90% confidence that your error is no more than 0.025. a Click the icon to view the discussion of sample size. The samples should include (Type whole numbers.) men and women. i Sample size discussion ha The sample size needed to estimate the difference between two population proportions to within a margin of error E with a confidence level of 1-a can be found by using the following expression: P191 P292 E= Z«/2 n2 Replace n, and n, by n in the preceding formula (assuming that both samples have the same size) and replace each of p, , q,, P2, and q, by 0.5 (because their values are not known). Solving for n results in this expression: Za12 n = 2E?

Help please: Alice throws darts at a circular target of radius r and is equally likely to hit any point in the target.Let X be the distance of Alice’s hit from the center. Find the PDF, the mean and the variance ofX.

In a survey from a certain year, the range of annual salaries reported was from $73,187 to $336,550. But do CEO salaries differ across the two most populous states in the United States? Consider the salaries from that year for CEOs who work for companies headquartered in California and Texas as provided in the following table. CEO Salaries (in $1,000s) California Texas $319 $92 $119 $214 $140 $159 $181 $246 $317 $198 $261 $305 $123 $185 $132 $202 $273 $90 $304 $179 $226 $208 $194 $109 Use α = 0.05 and test to determine whether the distribution of CEO salaries is the same for California and Texas. What is your conclusion?