What is the 1.test statistic and 2. p-value for this test statistics?The test is a two-tailed test. How do the fares for airlines that directly compete compare? The accompanying table contains roundtrip fares fornonstop travel from a particular city to 10 different destinations in the same country on two airlines that a frequent flyercollected. Complete parts (a) through (c) below.Click the icon to view the data on roundtrip airline fares....a. At the 0.10 level of significance, is there evidence of a difference in mean roundtrip fare between Airline A and AirlineB?Let μ₁ be the mean roundtrip fares for Airline A, and let μ₂ be the mean roundtrip fares for Airline B. What are the correctnull and alternative hypotheses?A. Ho: HD 0 (where μD = μ₁ −μ₂)B. Ho: HD >0 (where μD = μ₁ −μ₂)H₁: HD ≤0H₁: HD #0≥0 (where μD = μ₁ −μ₂)Ho: HDH₁ HD <0Ho: HD <0 (where μ = μ₁ −μ₂)H₁: HD 20E. Ho: HD #0 (where μD = μ₁ −μ₂)F. Ho: HD ≤0 (where μD = μ₁ −μ₂)H₁: HD= 0H₁: HD > 0What is the test statistic?=tSTAT (Round to two decimal places as needed.) AirfaresAirline A Fare ($)7356941025107164099996374111001195Airline B Fare ($)73869710281074669100296674411031198IX

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Answered: How do the fares for airlines that…

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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A fair die will be rolled 9 times. What is the probability that an even number is rolled less than 7 but more than 4 times? Round your answer to four decimal places,
Data were collected from 400 patients in the US about their estrogen level. Out of the 400, 35 patient have abnormal estrogen levels. On a national level, 8 % of patients have abnormal estrogen level. Researchers want to know the sample proportion differs from the national level. 5% is used for significance. Give the Ho and Ha. The appropriate test. Decision rule. Test calculations. Conclusion with comparison to alpha or critical value. I think this is a two tailed test. Use a one sample t- test. I think the null is rejected. t (40-1) = (400-35) / (.05 divided by sqrt 31) This is where I get stuck.
Do wearable devices that monitor diet and physical activity help people lose weight? Researchers had 237 subjects, already involved in a program of diet and exercise, use wearable technology for 24 months. They measured their weight (in kilograms) before using the technology and 24 months after using the technology. (a) Explain why the proper procedure to compare the mean weight before using the wearable technology and 24 months after using the wearable technology is a matched pairs t test. Choose the correct explanation. A person's weight before and after wearing the device would not be independent; thus, the data from this before and after study should be analyzed using a matched pairs t test. O A person's weight before and after wearing the device would be independent; thus, the data from this before and after study should be analyzed using a matched pairs t test. O A person's weight before and after wearing the device would be independent; thus, the data from this before and after…
You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly more than 0.71. Thus you are performing a right-tailed test. Your sample data produce the test statistic z = 3.006. Find the p-value accurate to 4 decimal places. p-value =
please answer part b Also is there significant evidence that brand 1 and 3 different in mean ratings? is there significant evidence that brand 1 and 4 different in mean ratings? is there significant evidence that brand 2 and 3 different in mean ratings? is there significant evidence that brand 2 and 4 different in mean ratings? is there significant evidence that brand 3 and 4 different in mean ratings?
What is the null hypothesis? Why do we want to reject our null hypothesis? The first step is the find the mean of our sample and compare it to the "hypothesized" mean of our null hypothesis—why do we do that? We use the results of our first step to calculate a test-statistic. Why is this important and how does it relate to the concept of z-score, which we learned a few weeks ago? What is a p-value? What role does it play in the rejection of the null hypothesis? What does it mean to reject the null hypothesis? Does that guarantee that the null hypothesis is false?
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You suspect that drivers for Uber/Lyft have newer cars than a driver who doesn’t drive for Uber/Lyft. Listed below are the ages of cars that you randomly sampled from the streets of Portland. If one were to conduct a hypothesis test for the difference in mean car age and mean Uber/Lyft car age, the conditions for the test would need to be checked. What conditions should you check? Check the conditions and explain how the conditions are met or not. What is the appropriate test to conduct, an independent samples t test or paired t test? Explain. Uber/Lyft car age 4 0 8 11 14 3 4 4 3 5 8 3 3 7 4 6 6 1 8 2 15 11 4 Non-Uber/Lyft Car age 8 8 0 3 8 4 3 3 6 11 7 7 6 9 5 10 8 4 3 4
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