#6) Highlands State College is doing a study to determine if fees for course schedule changeshave any effect on the number of course changes students make during the drop/add period. Arandom sample of student schedules showed the following data.No fee$25 feeRow TotalScheduleNo Changes1257513565260140|ChangesColumn Total200200400Use a 1% level of significance to test the claim that the number of course schedule changes

6 State the hypotheses. Null hypothesis: Alternative hypothesis: Obtain the expected frequencies…

Answered: #6) Highlands State College is doing a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The Economist collects data each year on the price of a Big Mac in various countries around the world. The price of a Big Mac for a sample of McDonalds restaurants in Europe in May 2009 resulted in the following Big Mac prices (after conversion to U.S. dollars): 3.80 5.89 4.92 3.88 2.65 5.57 6.39 3.24The mean price of a Big Mac in the U.S. in May 2009 was $3.57. For purposes of this exercise, assume it is reasonable to regard the sample as representative of European McDonalds restaurants. Does the sample provide convincing evidence that the mean May 2009 price of a Big Mac in Europe is greater than the reported U.S. price? Test the relevant hypotheses using a = .05. Assume a normal distribution of the data. x = S= Ho: μ = Ha: Select an answer (Put in the correct symbol and value) α= P-value: = Based on the above we choose t✓ Select an answer Question Help: Post to forur Reject the null hypothesis B
A marketing firm is doing research for an Internet-based company. It wants to appeal to the age group of people who spend the most money online. The company wants to know if there is a difference in the mean amount of money people spend per month on Internet purchases depending on their age bracket. The marketing firm looked at two age groups, 18-24 years and 25-30 years, and collected the data shown in the following table. Let Population 1 be the amount of money spent per month on Internet purchases by people in the 18-24 age bracket and Population 2 be the amount of money spent per month on Internet purchases by people in the 25-30age bracket. Assume that the population variances are not the same. Internet Spending per Month 1818-2424 Years 2525-3030 Years Mean Amount Spent 62.75 55.47 Standard Deviation 15.12 16.46 Sample Size 16 21 Step 1 of 2: Construct an 80% confidence interval for the true difference between the mean amounts of money per month that…
A marketing firm is doing research for an internet-based company. It wants to appeal to the age group of people who spend the most money online. The company wants to know if there is a difference in the mean amount of money people spend per morith on Internet purchases depending on their age bracket. The marketing firm looked at two age groups, 18-24 years and 25-30 years, and collected the data shown in the following table. Let Population 1 be the amount of money spent per month on internet purchases by people in the 18-24 age bracket and Population 2 be the amount of money spent per month on internet purchases by people in the 25-30 age bracket. Assume that the population variances are not the same. Internet Spending per Month 18-24 Years Answer Mean Amount Spent Standard Deviation Sample Size Step 1 of 2: Construct a 99 % confidence interval for the true difference between the mean amounts of money per month that people in these two age groups spend on Internet purchases. Round the…
South Dakota prices vary $350,000: $400,000:$400,000:$425,000:$429,000: $440,000: $560,000: $585,000,: $585,000: $785,000 : $1,300,000. We found the following Mean = 569000 SD = 272703.1353 T score = .7113 P Value = .4932 CI: 385795.5409,752204.4591 If you had a margin of error of $13,000 how large of sample would you need with a 90% confidence interval using the given tscore.
Make a graphical display of the following data sets, choosing nay type of display that you feel is appropriate. Explain your choice of display and discuss any interesting features in the data. The following table shows the perscentages of American men and women who had never been married in selected years since 1960. Percentages of Adults Who Never Married Year Women Men 1960 19.0% 25.3% 1980 22.5% 29.6% 2000 21.5% 31.3% 2015 28.9% 34.8%
The following data points represent the number of points scored by each player on the Nemco basketball team last game. 1, 2, 3, 4, 5, 6, 8, 9 Find the mean, median, and mode number of points.
The Department of Motor Vehicles office tried a new customer service system after people complained they were wasting too much time waiting in line. Use the two relative frequency histograms to answer the following questions. Waiting Times at the DMV (OLD SYSTEM) Waiting Times at the DMV (NEW SYSTEM) 50- 50 40 40- 30 30 20 10 0 0 5 10 15 20 25 30 0 5 10 20 25 30 Time Waited OLD (in minutes) 15 Time Waited (in minutes) Comparing the median and the mean for the new system we see that The mean is smaller than the median. The mean is larger than the median. The mean is almost exactly the same as the median. Percent 20 10 0 Percent
A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1– population 2, the sample mean difference was d = $870, and the sample standard deviation was s,= $1,125. (a) Formulate the null and alternative hype to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. 0> Prt :°H 0 = Pri :ºH O O Ho: Hdso H: H=0 (b) Calculate the test statistic. (Round your answer to three decimal places.) What is the p-value? (Round your answer to four decimal places.) Can you conclude that the population…
How do the average weekly incomes of electricians and carpenters compare? A random sample of 17 regions in the United States gave the following information about average weekly income (in dollars). (Reference: U.S. Department of Labor, Bureau of Labor Statistics.) Region 1 2 3 4 5 6 7 8 9 Electricians 464 715 597 464 736 694 744 571 806 Carpenters 542 813 513 476 688 503 789 653 474 Region 10 11 12 13 14 15 16 17 Electricians 592 594 702 579 868 598 597 654 Carpenters 489 647 676 384 817 605 556 505 Does this information indicate a difference (either way) in the average weekly incomes of electricians compared to those of carpenters? Use a 5% level of significance. (a) What is the level of significance? (b) Compute the sample test statistic. (c) Find the P-value of the sample test statistic.
Bank of America’s Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was d= $850, and the sample standard deviation was sd= $1123.a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out.b. Use a .05 level of significance. Can you conclude that the population means dif-fer? What is the p-value?c. Which category, groceries or dining out, has a higher population mean annual credit card charge? What is the…
Suppose the National Transportation Safety Board (NTSB) wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of cars each of the cars types. The data below displays the frontal crash test performance percentages. Test whether there are statistical differences in the frontal crash test performance for each type of car. Car Sizes Compact Cars Midsize Cars Full-Size Cars 95 95 93 98 98 97 87 98 92 99 89 92 99 94 84 94 88 87 99 93 88 98 99 89 How many pairs must be compared for follow-up t-tests?

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