A headline read, "More Than Half of Americans Say Federal Taxes Too High." The headline was based on a random sample of 1023 adult Americans in which 534 stated the amount of federal tax they have to pay is too high. Is this an accurate headline? Assume the a = 0.01 level of significance. Identify the null and alternative hypotheses for this test. O A. Ho: p> 0.50 O B. Ho: p= 0.50 OC. Ho: p#0.50 H1: p=0.50 H1: p>0.50 H: p = 0.50 O D. Ho: p= 0.50 O E. Ho: p= 0.50 O F. Ho: p<0.50 H,: p = 0.50 H,:p<0.50 H,: p#0.50 Find the test statistic for this hypothesis test. (Round to two decimal places as needed.) Determine the P-value for this hypothesis test. P-value = (Round to three decimal places as needed.) State the conclusion for this hypothesis test. V Ho. There v sufficient evidence at the a= 0.01 level of significance to conclude that V of Americans say that federal taxes are too high.

3. School administrators are interested to see if computer science majors and engineering majors study the same amount of hours per week, on average. A random sample of 125 computer science majors returns a sample average of 25 hours per week and a sample standard deviation of 2 hours. Next, a random sample of 144 engineering majors returns a sample average of 22 hours with a sample standard deviation of 3 hours.

Determine the type of error.

What is the null and alternative hypothesis for the following problem? Thank you

a) What is the correct p-value for this test?

A newsletter publisher believes that less than 68 % of their readers own a Rolls Royce. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.05 level of significance, the advertiser failed to reject the null hypothesis. What is the conclusion regarding the publisher's claim?

If you use a 0.025 level of significance in a​ (two-tail) hypothesis​ test, what is your decision rule for rejecting a null hypothesis that the population mean is 600 if you use the Z​ test? Click here to view page 1 of the Normal table. LOADING... Click here to view page 2 of the Normal table. LOADING...       Question content area bottom Part 1 Which of the following decision rules is​ correct?     A. Reject H0 if ZSTAT<−2.24 or ZSTAT>+2.24.   B. Reject H0 if −2.24<ZSTAT<+2.24.   C. Reject H0 if −1.96<ZSTAT<+1.96.   D. Reject H0 if ZSTAT<−1.96 or ZSTAT>+1.96.

It is widely believed that 19% of all students live in campus housing. You suspect that claim is not accurate. You take a sample of 150 students from the population and find that 39 of those students live in campus housing. The parts that I am having trouble with are: Assuming the null is true, how many standard errors is the sample proportion away from the null? Assuming the null is true, on average, how far would a sample proportion be from the expected population proportion? I know that the answer for each part is 2.19 and 0.0320. I am struggling to remember the steps to get to the answer.

6.   b. Test statistic = ? c. P-value = ?  d. Reject/Accept null hypothesis ?   -0.92 is wrong for the test statistic

The percentage of complete passes is an important measure for a quarterback in the NFL. A particular quarterback has a career completion percentage of 55%. The quarterback got a new coach and then played a few games where he completed 48 of 100 passes. a. Specify the null and alternative hypotheses to determine whether the proportion of completed passes has decreased with the new coach. b. Calculate the value of the test statistic and the p-value. c. At the 5% significance level, can you conclude that the quarterback's completion percentage has decreased?  How do I solve this in excel?