Question 2: give the rejection region for this problem. The following four questions will be based on this problem. Themean of a population is assumed to be 12.1. However datasuggests the mean can be greater than 12.1. A sample of sizeof 50 from the population is considered. Assume a calculatedsample mean of 12.2 and standard deviation of 0.2. At the 5%significance level we will determine if the null hypothesisshould be rejected. Give the null and alternative hypothesisfor this problem. Give the rejection region for this problem.O z< 1.64z > 1.64

Answered: Image /qna-images/answer/7a082558-469b-4b8d-b8df-ea92216c805f.jpg

Answered: give the rejection region for this…

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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USE OF THE CHI-SQUARE TEST AND Z-TEST please problem no. 1, thanks.
Question 4) Steve and Sue, both being relatively short, have always felt they and their shorter than average friends were getting shorted in pay. They hire you to do some analysis. You divide the population into shorter than average (Shorts) and taller than average (Talls). (Probably don’t refer to your friends in these terms, this is only to help you quickly talk about the samples) Your Shorts sample of 10 people earns on average $22 per hour with a standard deviation of $5. The Talls sample of 12 shows an average earned $18 per hour with a standard deviation of $4. Set up a null hypothesis and an alternative hypothesis Using an alpha of .05 test your hypothesis. (If you get stuck write down what you know.) What did you determine based on your test? Refer to your null and alternative hypotheses. (If you are stuck on part b, make up a result and answer parts c and d based on the result. Make sure to explicitly state what result you are making up so I…
QUESTION 14 Prior to a set of compensation policy changes at a company 31% of the employees surveyed said that they liked their job very much, 48% said that they liked their job moderately, and the remaining employees said that they were dissatisfied with their job. Now, in a survey of 190 employees, 63 said they liked their job very much, 104 said that they liked their job moderately, and the remaining employees said that they were dissatisfied with their job. When testing (at the 5% level of significance) whether the proportions have changed, what is the test statistic? (please round your answer to 3 decimal places)
QUESTION 15 Prior to a set of compensation policy changes at a company 31% of the employees surveyed said that they liked their job very much, 45% said that they liked their job moderately, and the remaining employees said that they were dissatisfied with their job. Now, in a survey of 202 employees, 76 said they liked their job very much, 106 said that they liked their job moderately, and the remaining employees said that they were dissatisfied with their job. When testing (at the 5% level of significance) whether the proportions have changed, what is the critical value? (please round your answer to 3 decimal places)
Question 1 Match each step on the left with the procedure at that step on the right. Step Todo 1 a. write claim symbolically く2 b. reject or fail to reject null C. calculate test statistic く4 d. identify test type and relevant statistic e. write null and alternative hypotheses 6. f. draw graph showing test statistic critical value and critical region g. write conclusion Submit Question
Can you answer question #2? parts A-B?
Problem 17
Problem 3. Suppose a test for detecting a certain rare disease has been perfected that is capable of discovering the disease in 97% of all afflicted individuals. Suppose further that when it is tried on healthy individuals, 5% of them are incorrectly diagnosed as having the disease. Finally, suppose that when it is tried on individuals who have certain other milder diseases, 10% of them are incorrectly diagnosed. It is known that the percentages of individuals of the three types being considered here in the populations at large are 1%, 96%, and 3%, respectively. Calculate the probability that an individual, selected at random from the population at large and tested for the rare disease, actually has the disease if the test indicates he is so afflicted.
Problem 9 (no need to show details of your work) Consider the Sample Autocorrelation (SAC) and Sample Partial Autocorrelation (SPAC) functions given below. Circle the most-appropriate tentative model. I. a. Nonseasonal AR(2): zt = 8 + 0₁Z₁-1+0₂ ²1-2+A₁ b. Nonseasonal ARIMA(1,1): z = 8 +0₁Z₁-1+ a₁0₁ a₁-1 c. Nonseasonal MA(1): z= 8+ a₁-0₁a₁-1 d. Nonseasonal MA(2): z₁= 8+ a₁0₁ a₁-1-0₂a₁-2 e. The time series is nonstationary. SAC SPAC Lag AutoCorr -8-.6-.4-.2 0.2.4.6.8 Lag Partial -8-.6-.4-.2 0 .2.4.6.8 0 1.0000 0 1.0000 1 -0.4936 1 -0.4936 0.0831 -0.0736 2 3 4 5 6 -0.0549 7 0.1572 8 -0.0332 9 0.0217 10 -0.0055 11 -0.0253 12 -0.0708 13 -0.0342 14 15 16 17 18 19 Autocorrelation 1.0 0.0010 -0.0415 0.8 0.6 0.4 II. a. Nonseasonal AR(2): z: = 8+0₁ 2₁-1+0₂2₁-2+ at b. Nonseasonal ARIMA(1,1): zt = 8 + ₁²₁-₁ + a₁-0₁a₁-1 0.2 0.0 -0.2 -0.4 -0.6 -0.8 0.1978 -0.1726 0.0366 0.0059 0.1068 -0.1301 -1.0 c. Nonseasonal AR(1): z₁ = 8+₁ Z₁-1 + a₂ d. Nonseasonal MA(2): z₁ = 8+ a₁-0₁a₁-1-0₂ a₁-2 e. The time…
Problem 6. Suppose you are placing m books into n bores. Each book is equally likely to be placed in each bor, and the book placements are independent. What's the erpected number of bozes that contain exactly k books?

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