**Question 1**The average wait time to get seated at a popular restaurant in the city on a Friday night is 12 minutes. Is the mean wait time different for men who wear a tie? Wait times for 16 randomly selected men who were wearing a tie are shown below. Assume that the distribution of the population is normal.14, 11, 11, 12, 11, 11, 14, 11, 10, 14, 12, 14, 14, 12, 13What can be concluded at the α = 0.10 level of significance?a. For this study, we should use [Select an answer]b. The null and alternative hypotheses would be:\( H_0: \) [Select an answer]\( H_1: \) [Select an answer]c. The test statistic \( t = \) ______ (please show your answer to 3 decimal places.)d. The p-value = ______ (Please show your answer to 4 decimal places.)e. The p-value is \( [ \, ? \, ] \alpha \)f. Based on this, we should [Select an answer] the null hypothesis.g. Thus, the final conclusion is that ...- The data suggest that the population mean wait time for men who wear a tie is not significantly different from 12 at α = 0.10, so there is statistically insignificant evidence to conclude that the population mean wait time for men who wear a tie is different from 12.- The data suggest the population mean is significantly different from 12 at α = 0.10, so there is statistically significant evidence to conclude that the population mean wait time for men who wear a tie is different from 12.- The data suggest the population mean is not significantly different from 12 at α = 0.10, so there is statistically insignificant evidence to conclude that the population mean wait time for men who wear a tie is equal to 12.**Hint:**

Followings are the Explanation of the question Calculate the Sample Mean and Sample Standard…

Answered: a. For this study, we should use…

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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During the first few weeks of the new television season, the evening news audience proportions were recorded as ABC - 31%, CBS - 34%, and NBC - 35%. A sample of 800 homes taken recently yielded the following viewing audience data. Number of Homes ABC 305 CBS 255 NBC 240 We want to determine whether or not there has been a significant change in the proportion of viewing audience of the three networks. a. State the null and alternative hypotheses to be tested. b. Compute the expected frequencies. c. Compute the test statistic. d. Determine the p-value for this test. Make a conclusion in the context of this problem

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