Conduct a full hypothesis testing on thefollowing problem and then chooseamong the options what best fits theitems being asked:To test a claim that eating fish makesone smarter, a random sample of 12persons take a fish oil supplement forone year and then are given an IQtest. Here are the results:116 111101120 99 94108 115 107 91 110 92Is there sufficient evidence tosupport the claim if the standard IQon record is 100? Use 5%significance level.Note: Round off the mean and SD inthis given to 1 decimal place only,and the test statistic value to 3decimal places. If two-tailed test is tobe applied, the given critical valuesas options are considered theabsolute values. Conduct a full hypothesis testing on thefollowing problem and then chooseamong the options what best fits theitems being asked:To test a claim that eating fish makesone smarter, a random sample of 12persons take a fish oil supplement forone year and then are given an IQtest. Here are the results:116 111101120 99 94108 115 107 91 110 92Is there sufficient evidence tosupport the claim if the standard IQon record is 100? Use 5%significance level.Note: Round off the mean and SD inthis given to 1 decimal place only,and the test statistic value to 3decimal places. If two-tailed test is tobe applied, the given critical valuesas options are considered theabsolute values.

Given Information: No. of observations=12Sample space={116, 111, 101, 120, 99, 94, 108, 115, 107,…

Answered: Conduct a full hypothesis testing on…

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 a computer or calculator to find the p-value for the following hypothesis test, if χ2* = 36.33 for a sample of n = 31. (Give your answer correct to four decimal places.) Ho: σ = 12.4 vs. Ha: σ > 12.4
Use a computer or calculator to find the p-value for the following hypothesis test, if χ2* = 7.16 for a sample of n = 22. (Giver your answer correct to four decimal places.) Ho: σ2 = 7 vs. Ha: σ2 ≠ 7
Answer the following using the 5-step hypothesis testing procedure: A television channel claims that 40% of the population who watch TV patronize their TV channel. After collecting 70 samples, they found that 30 of them watch the said TV channel. Use ɑ=0.01 to test their claim.
An experimenter flips a coin 100 times and gets 54 heads. Test the claim that the coin is fair against the two-sided alternative. (Null and Alternate Hypothesis and Test Statistic) A. Ho: p = 0.50; Ha: p < 0.50; z = 0.800 B. Ho: p = 0.50; Ha: p > 0.50; z = 0.800 C. Ho: p = 0.50; Ha: p > 0.50; z = 0.081 D. Ho: p = 0.50; Ha: p ≠ 0.50; z = 0.800 E. Ho: p = 0.50; Ha: p ≠ 0.50; z = 0.081 (p-value and conclusion) A. p = 0.540; FRHo (No sufficient evidence to reject the claim) B. p = 0.424; RHo (Sufficient evidence exists to reject the claim) C. p = 1.576; FRHo (No sufficient evidence to reject the claim) D. p = 0.424; FRHo (No sufficient evidence to reject the claim) E. p = 1.576; RHo (No sufficient evidence to reject the claim)
A study is conducted to determine if bus ridership in a large city is higher during the afternoon rush hours than morning rush hours. The transit authority randomly selects nine buses and on a given day counts the number of riders at 7:45 AM and 4:45 PM. The results are shown below. Conduct an appropriate hypothesis test using 0.05 level of significance. Morning 43 43 37 25 47 42 48 55 52 Afternoon 41 49 44 32 46 55 53 52 50 Which of the followings is/are appropriate conclusion for the hypotheses test? Note that there may be more than one appropriate conclusion. Enter “A” if the conclusion is appropriate and enter “N” if the conclusion is not appropriate. At 95% confidence level, the data supports that the afternoon bus ridership is higher than the morning. Your answer(A/N) is: At 95% confidence level, the data does not support that the afternoon bus ridership is higher than the morning. Your answer (A/N) is: With a maximum risk…
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A group of n = 10 students wants to know if the commuting time from home to college by bus is less than the commuting time by car. For this, each of them recorded the time spent using each means of transport. Recorded travel times are shown below. Each pair of values refers to a student, the first value being the time spent by car and the second by bus (both in minutes). Carry out an appropriate hypothesis test at the α=6% significance level. studen 1 2 3 4 5 6 7 8 9 10 Car 17 20 10 25 20 18 10 20 20 10 bus 12 15 12 18 22 10 12 22 15 12 Difference 5 5 -2 7 -2 8 -2 -2 5 -2 a. What range of values is the p-value in? b. Is there evidence to reject H0 with the adopted significance level?
Every day for an entire week, a cup of coffee was purchased at Starbucks, McDonalds, and Dunkin Donuts. The tempurature (in F) was determined immediately after the cup of coffee was served. The following table contains the sample results. Establishment Serving Temperature (in F) of Cup of Coffee Starbucks 173 168 172 174 171 172 170 McDonalds 179 181 180 182 177 184 178 Dunkin Donuts 176 168 164 170 172 169 165 (a) Conduct a hypothesis test using a=0.05 to determine whether the men serving temperature of a cup of coffee is the same at Starbucks, McDonalds, and dunkin Donuts. (b) Use the sample data collected from above to construct all pairwise comparison confidence intervals to estimate the difference in the mean serving temperature of a cup of coffee at Starbucks, McDonalds, and Dunkin Donuts with a…
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Every day for an entire week, a cup of coffee was purchased at Starbucks, McDonalds, and Dunkin Donuts. The tempurature (in F) was determined immediately after the cup of coffee was served. The following table contains the sample results. Establishment Serving Temperature (in F) of Cup of Coffee Starbucks 173 168 172 174 171 172 170 McDonalds 179 181 180 182 177 184 178 Dunkin Donuts 176 168 164 170 172 169 165 Conduct a hypothesis test using a=0.05 to determine whether the men serving temperature of a cup of coffee is the same at Starbucks, McDonalds, and dunkin Donuts. Please no excel.
A survey in Newsweek in 1999 asked 747 randomly selected women “how satisfied are you with your overall appearance?” 4 possible responses were given (“very satisfied”, “somewhat satisfied”, “no too satisfied” and “not at all satisfied”). The women were also asked to provide their age (“under 30”, “30 to 49” and “over 50”). Define the null hypothesis and the alternative hypothesis.
In each part, we have given the significance level and the P-value for a hypothesis test. For each case determine if the null hypothesis should be rejected. Write "reject" or "do not reject" (without quotations). (a) α=0.07,P=0.06α=0.07,P=0.06answer: (b) α=0.06,P=0.06α=0.06,P=0.06answer: (c) α=0.01,P=0.06α=0.01,P=0.06answer:

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Conduct a full hypothesis testing on the following problem and then choose among the options what best fits the items being asked: