idence interrvais for populatCHALLENGEACTIVITY5.2.2 Relating confidence intervals to hypothesis testing (one sample).353846.1423376.qx3zgy7Jump to level 1An auto maker is interested in information about how long transmissions last. A sample of transmissions are runconstantly and the number of miles before the transmission fails is recorded. The auto maker claims that thetransmissions can run constantly for over 150,000 miles before failure. The results of the sample are given below.Miles (1000s of miles)Мean151.2Variance17.22Observations44Hypothesized Mean150df43t StatP(T<=t) one-tail1.889p= Ex: 1.234:0.033t Critical one-tail1.681-3P(T<=t) two-tail0.066t Critical two-tailt = Ex 1.2342.017Confidence Level(95.0%) 1.129n = Ex: 5I = Ex 12Degrees of freedom = Ex: 5s = Ex 1234NF3F4F5F6F7F9F10F11F12pausebreakprt scsysra%23*3456.89EO PDF G H J K L

Given the output of the one sample t test for sample mean as

Answered: ACTIVITY 353846.1423376.qx3zqy7 Jump to…

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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4. Answer question 3
Question 12 An analysis of variance experiment produced portions of a company ANOVA table Source of variations S.S Between groups Within groups d.f MS 25.08 Fral 3 a C. Total 117.72 79 N.B F(3,76)5% 2.724 and F3 79, 5% = 2.70 1. Specify the competing hypothesis in order to determine the population means. 2. Find the missing statistics a, b and c in the ANOVA table. 3. At the 5% significant level, what is the conclusion to the test? • Paragraph B IU A A I E E I I * x, E E E- & V G D I T 12pi
QUESTION 1 A health researcher read that a 150-pound college-aged, male can burn an average of 530 calories per hour playing tennis with a standard deviation of 25 calories. 40 college-aged males were randomly selected at a commuter school and the mean number of calories burned per hour playing tennis was 540 calories. Do college-aged male tennis players at the commuter school burn more calories per hour than the college-aged, male tennis player population? Test with a 0.05 significance level. What are the hypotheses? Null and Alternate
I need help making a relative frequency histogram from this data.
Question 11 of 15, Step 1 of Correct Calculate the sample standard deviation for the following data set. If necessary, round to one more decimal place than the largest number of decimal places given in the data. High Temperatures (in °F) for Wichita, KS from September 88 73 84 80 68 66 82 87 80 73 67 65 64 82 88 78 89 84 72 63 Copy Data Answer How to enter your answer (opens in new window) 田 Tables E Keypac Keyboard Shortcu Submit Answer © 2022 Hawkes Learning
5.28 Risks and insurance. The idea of insurance is that we all face risks that are unlikely but carry high cost. Think of a fire destroying your home. So we form a group to share the risk: we all pay a small amount, and the insurance policy pays a large amount to those few of us whose homes burn down. An insurance company looks at the records for millions of homeowners and sees that the mean loss from fire in a year is μ = $250 per house and that the standard deviation of the loss is σ = $1000. (The distribution of losses is extremely right-skewed: most people have $0 loss, but a few have large losses.) The company plans to sell fire insurance for $250 plus enough to cover its costs and profit. If the company sells 25,000 policies, what is the approximate probability that the average loss in a year will be greater than $270?
Consider the following data: −10, −10, 0, 3, −10, 3, 3 Step 1 of 3: Calculate the value of the sample Variance. Round your answer to one decimal place. Step 2 of 3: Calculate the value of the sample deviation. Round your answer to one decimal place. Step 3 of 3: Calculate the value of the range.
4. Answer question 2
Question 16: Please use the approporate stats table attached. Do not use a software for this problem.a. What was the observed difference between the mean PCV levels for the two groups? b.Assuming that the two groups have similar variances, estimate the standard error of the difference between the sample means c. Conduct an appropriate test to assess the difference between the two means. What do you conclude?
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