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- A runner states that his average time for running a mile is 6.5 minutes. Given the following times from 8 recent mile runs, test the claim that his actual average is not what he states it to be at the a = 0.05 level of significance. 6.25 6.6 6.8 7.2 6.3 7.0 6.5 6.75We want to estimate q, the proportion of people in a population who have a certain illness. We test 200 people, and find that 18 of them have the illness. Find the MLE qˆ for q. What is the standard error of qˆ?For a population with ? = 100 and ? = 20, what is the X value corresponding to z = 1.50? 30115 101.5130
- To compute a student's Grade Point Average (GPA) for a term, the student's grades for each course are weighted by the number of credits for the course. Suppose a student had these grades: 4.0 in a 5 credit Math course 2.5 in a 3 credit Music course 2.7 in a 5 credit Chemistry course 3.3 in a 6 credit Journalism course What is the student's GPA for that term? Round to two decimal places Student's GPA =The value of SSR can never be larger than: Which? SST. 0.0. 1.0. 400. SSE.If possible, please explain in writing… thanks
- Please answer number 8. Make sure to show work; thx!!Harper collected data on students who make appointments to see their advisor to see how many failed to show up. The student records were divided into two groups: male (group 1) and female (group 2). A 93% confidnece interval for pi – P2 was found to be as follows: (0.03, 0.09) Interpret the endpoints of this interval in the context of this problem. Do not use the word "difference" in your answer.For chi-square, what is the difference between observed and expected frequencies? There is no difference: both look at proportions in sample Observed = proportions in sample; expected = proportions in population There is no difference: both look at proportions in population Observed = proportions in population; expected = proportions in sample
- For n = 15 year-2017 model sedans whose horsepower is between 290 and 390, the following measurements give the time in seconds for the car to go from 0 to 60 mph: 4.8, 6.8, 6.0, 5.0, 6.3, 5.7, 5.8, 6.1, 5.5, 6.2, 4.9, 5.4, 5.1, 5.9, 5.6. The interval (Y1, Y7) could serve as a confidence interval for 1o.25. What is its confidence coefficient?A taxi business owner is determining the type of tires for his cars for efficiency the fuel can be increased. Twelve cars were tested using type A tires and asked to travel on a certain route. The same car and driver, then do the same route and the same road conditions with type B tires. Fuel consumption (km/liter) is then recorded as (enclosed). Note: • Use the last digit of your ID (2602296545) in place of a value; • If the last digit is 0 then it is changed to 1; Example: ID 1234567890 → 1 Can we conclude that a car with type A tires has material consumption fuel better than a car with type B tires? Assumed population normally distributed and α=5%. a. Define a hypothesis statement for the case. b. Perform statistical test calculations. c. Give a conclusion from the results of these calculations.