10. The table below summarizes results from a study of people who refused to answer sur-vey questions. Using a significance level of 0.05, test to see if the age group of people isindependent of their refusal to answer survey questions. (You may use calculator short-cuts, but you must still write your hypotheses, the numbers obtained from the calculator,and your conclusion.)Age18-2122-29 30-39 40-49 50-59 60 and over Totals262 252 143 14520910913629386020023285288 172 1832691291Responded 80Refused 14Totals 9411. Sam collects a sample of 200 hobbit heights and determines their average height is39.8 inches with a standard deviation of 4.4 inches. Assume the heights are normallydistributed (and do not use information from the Middle Earth Almanac in the last ques-tion).(a) Use Sam's sample to test his theory, with a 0.05 significance level, that the averageheight of a hobbit is actually 39.7 inches.(b) Use Sam's sample to test his theory, with a 0.05 significance level, that the standarddeviation in hobbit heights is less than 5.1 inches.

Since you have asked multiple questions, we will solve the first question for you. If you want any…

Answered: 10. The table below summarizes results…

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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Similar questions

5% is a very common significance level for significance tests, but it Is arbitrary a. Give an example where you might want to use a significance level lower than 5%. Explain why you would use the lower level. b. Give an example where you might want to use a significance level higher than 5%. Explain why you would use the higher level
According to a Yankelovich poll, women spend an average of 19.1 hours shopping during the month of December, compared to 12.7 hours for men. as in the table below contains the survey data underlying these results, use the 0.01 level in examining whether the sample mean for women is significantly higher than that for men. find the p-value for the test. women men 13,9 11,9 27,6 15,9 11,6 17,9 21,0 12,6 20,9 12,1 20,3 10,5 9,7 11,9 15,6 16,5 22,5 11,2 26,4 5,3 17,0 14,4 23,2 16,3 13,1 10,8 22,1 10,5 21,6
Explain if there was a statistically significant difference between the group means. did you arrive at your conclusion?
Determine if the survey question is biased. If the question is biased, suggest a better wording. How often do you eat vegetables during an average month? Is the question biased? OA. Yes, because it does not lead the respondent to any particular answer. A better question would be "Why is eating vegetables good for you?" OB. Yes, because it influences the respondent into thinking that eating vegetables is good for you. A better question would be "Do you think that eating vegetables is good for you?" OC. No, because it influences the respondent into thinking that eating vegetables is good for you. OD. No, because it does not lead the respondent to any particular answer.
Burger King has recently added new menu items in the last few years. Q. How are you going to decide which menu items are potential winners? What statistical tests or inferential statistics can you conduct?
Using the General Social Survey of 2012, determine if there is sufficient evidence to infer that the average American watches more than 24 hours per week, which is 3 hours per day (TVHOURS). Use a 5% significance level for all tests.ONLY USE EXCEL AND PLEASE SHOW ALL STEPS AND EXCEL COMMANDS. ?0:?=3 ?1:?>3 ID AGE SEX DEGREE HRS1 WRKSLF TVHOURS 55088 22 1 3 15 2 1 55089 21 1 1 30 2 55090 42 1 1 60 2 55091 49 2 1 2 4 55092 70 2 3 2 3 55093 50 2 3 2 4 55094 35 2 2 2 3 55095 24 2 0 55096 28 2 0 55097 28 2 3 40 2 55098 55 1 0 2 6 55099 36 2 3 20 2 55100 28 2 1 55101 59 2 1 2 2 55102 52 1 0 32 2 2 55103 35 2 1 53 2 55104 36 1 1 60 2 2 55105 47 2 1 40 2 3 55106 55 1 1 40 2 55107 18 2 1 5 55108 76 2 0 2 55109 39 1 0 12 2 55110 54 1 2 40 2 3 55111 45 2 2 40 2 0 55112 71 1 1 2 2 55113 42 2 3 75 2 55114 22 1 1 40 2 2 55115 50 1 0 8 55116 81 2 3 2 4 55117 44 2 1…
Use the information below, gathered from 1000 students from a small college who disclosed their age as well as their preference for type of instruction, to determine whether or not there is an association between age and preferred type of instruction. Write your hypotheses, perform the test, find the test statistic, the p-value, and state your conclusion. Assume a significance level of � = 0.01. AGE 18 & under 19-25 26-35 36-45 65 or Older online 43 56 26 20 20 Scheduled Zoom 48 75 34 26 20 Hybrid Zoom 82 19 88 83 59 Face to Face 27 50 52 71 101 a) Write your hypotheses.b) Use your calculator to determine the test statistic and p-value.c) Using the significance level provided, write an appropriate conclusion
A political scientist claims that 38% of first-year college students characterize themselves as being “moderate” or “middle of the road” as far as their political affiliation is concerned. Believing this claimed value is too high, you survey a random sample of 400 first-year college students and find that 120 characterize themselves as being “moderate” or “middle of the road.” Based on this information, what will the test statistic be? Choose the answer below that is closest to what you calculate, and try not to do a lot of rounding until you get to the very end of your calculations. 1. -0.3 2. -1.2 3. -2.6 4. -3.3 5. None of the other answer options are correct because the test statistic should be positive, not negative.
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Provide some details for the following examples using a significance value of .05 (using the sign, number, and significance): r = 0.3 (p > .05) r = .99 (p < .05) r = -.8 (p < .05)
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A statistician changes her level of significance from .001 to .05. What impact will this change have on her risk of making a Type I and Type II error? Is the change in the level of significance a good decision? Why or why not?

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