Find the power for a difference in means of 2.79 using 95% and 99% confidence intervals.

[11.540 8.203 8.214 13.165 11.451 13.015 11.060 10.488 8.849 8.271]

[4.708 8.013 9.886 7.026 6.051 5.546 7.914 9.951 9.880 7.381]

Dorothy purchases a 1000 par value 10-year bond with 9% semiannual coupons for 925. She has found a place to invest her coupons at a nominal rate of 7% convertible semiannually. Calculate her nominal annual yield rate convertible semiannually over the ten-year period .

A 30-year annuity has end-of-month payments. The first year the payments are $120 each. In subsequent years the monthly payment increases by $5 over what it was the previous year.

Find the accumulated value of this annuity if AEIR=3%

The Stanford-Binet IQ test is nationally normed with a mean of 100 and a standard deviation of 15. A principal in an elementary school believes that her students have above-average intelligence and wants verification of her belief. She randomly selects 20 students and checks the student files. You will use a z-test to determine whether the students in this school have above-average intelligence and will summarize your findings in a report.

IQ scores for 20 students are found in the Excel spreadsheet.

Using the results above and the data in the Excel spreadsheet, write a complete hypothesis test report,using the α = .05 significance level. To determine the proper p-value for this test, refer to the summary of the case.

Note how you are being provided all three p-values (two-sided, right one-sided, left-one sided). Once you determine the Ho and Ha, you will be able to determine which p-value is appropriate for the test.

You must develop the case study by including all 7 steps of hypothesis testing. I expect complete sentences and not only results (assumptions, hypothesis, sample statistic values, the test statistic, the p-value, conclusions in the context of the problem).

You are also required to include a graphical display of the data above in a bell curve shaped graph labeled properly. The case will be graded based on choosing the correct Ho and Ha testing and complete answers.

The data below are yields for two different types of corn seed that were used on adjacent plots of land. Assume that the data are simple random samples and that the differences have a distribution that is approximately normal. Construct a​ 95% confidence interval estimate of the difference between type 1 and type 2 yields. What does the confidence interval suggest about farmer​ Joe's claim that type 1 seed is better than type 2​ seed? Type 1 1988 2014 2190 2478 2208 1983 2258 1504 Type 2 2012 1919 2099 2437 2167 1911 2179 1444 In this​ example, mu Subscript d is the mean value of the differences d for the population of all pairs of​ data, where each individual difference d is defined as the type 1 seed yield minus the type 2 seed yield. The​ 95% confidence interval is 24.66 less thanmu Subscript dless than89.09 . ​(Round to two decimal places as​ needed.) What does the confidence interval suggest about farmer​ Joe's claim that type 1 seed is better than type 2​ seed? A. Because the confidence interval only includes positive values and does not include ​zero, there is sufficient evidence to support farmer​ Joe's claim. This is the correct answer. B. Because the confidence interval includes ​zero, there is sufficient evidence to support farmer​ Joe's claim. C. Because the confidence interval only includes positive values and does not include ​zero, there is not sufficient evidence to support farmer​ Joe's claim. Your answer is not correct. D. Because the confidence interval includes ​zero, there is not sufficient evidence to support farmer​ Joe's claim. Question is complete. Tap on the red indicators to see incorrect answers. All parts showing

Most scientists use the p<.05 criterion to determine if their findings are significant. Describe cases where you would prefer them to be more lenient (e.g., p<.10) or cases where you prefer them to be more cautious (e.g., p<.01).

Exercise 5.4
Refer back to exercise 2.2. Suppose that you fit the model to 20 data points and found that your F – value for testing the model is useful is 49.75.

Exercise 2.2
A hotel manager is concerned about hotel room rates for a large chain of hotels. The variables to be used in this research is defined as follows:
Y = the daily rate of a room
X1 = the population of the city
X2 = the rating of the hotel (1 star to 5 stars)
X3 = the number of rooms in the hotel
X4 = the number of hotels in the city

Answer the following:

A.) Now conduct the F-test for model utility.

B.) In exercise 5.4, what is the conclusion?

3. The percentage of hardwood concentration in raw pulp, the vat pressure, and the cooking time of the pulp are being investigated for their effects on the strength of paper. Three levels of hardwood concentration, three levels of pressure, and two cooking times are selected. A factorial experiment with two replicates is conducted, and the following data are obtained: (Use a=0.05 unless otherwise specified)

1. Analyze the full model and check for significance
2. Reduce your model
3. Check the adequacy of this model
4. Under what conditions would you run the process

1. A university asked 10 graduate students how many hours of homework they were planning to do that week. Here are their responses:

14 13 15 21 19 24 25 28 25 31

A. What's the mean number of hours of homework done by the students per week? What is the median? Why are these figures different?

B. What is the range of data?

C. Is the data skewed? If so, in what direction? How do you know?

Please show all calculations. Also please show all calculations in typing rather than writing. Thank you kindly.

The Australian Banking Association conducts a survey every five years into the status of women in the banking industry, including aspects relating to working hours. In the 1997 survey, which incorporated 705 respondents, 211 reported working more than 50 hours per week. Of the 620 respondents to the 2002 survey, 224 reported to be working in excess of 50 hours per week. The Australian Bankers Association is interested if there has been any change in work patterns and wished to test this proposition at the 10% level of significance.

1. If the hypotheses are written in the form of the proportion in 1997 minus the proportion in 2002, state the direction of the alternative hypothesis used to test whether there has been a change in attitudes. Type gt (greater than), ge (greater than or equal to), lt (less than), le (less than or equal to) or ne (not equal to) as appropriate in the box
2. Calculate the test statistic for the Z test correct to two decimal places.
3. Use the tables in the text to determine the critical value used to conduct the test. If there are two critical values, state only the upper value.
4. Is the null hypothesis rejected for this test? Type yes or no.
5. Hence, on the basis of this test, does there appear to have been a change in the working patterns of women in the banking industry? Type yes or no.