The mean body mass index (BMI) inpatients free of diabetes was reported as28. An investigator conducting the studyhypothesizes that the BMI in patients freeof diabetes is different than 28. Based onthe data found in a simple random sampleof n=12, the mean and standard deviationof BMI were found to be 32 and 6,respectively. Based on this is thereevidence that the BMI is significantlydifferent than 28? Use a 5% level ofsignificance?Note: Round your answers to threedecimals.None of these choices are correct.T-stat = 2.310, T-critical value = 2.201.Since 2.310> 2.201 Reject Ho.T-stat 2.201, T-critical Value== 2.310. Donot reject HO since 2.210 2.310.T-stat = 2.310, T-critical value = 2.179.Reject HO since 2.310 > 2.179.

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Answered: The mean body mass index (BMI) in…

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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The mean age when smokers first start is 13 years old with a population standard deviation of 1.9 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS—electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 30 smokers found that their mean starting age was 12 years old. Do the data support the claim at the 1% significance level? What are the correct hypotheses? H0: years H1: years Based on the hypotheses, find the following: Test Statistic z = (Round to 4 decimal places.) Critical Values =±± (Round to 2 decimal places.) Based on the above we choose to The correct summary would be: that the mean age smokers first start is different than 13.
A shareholders' group is lodging a protest against your company. The shareholders group claimed that the mean tenure for a chief exective office (CEO) was at least 11 years, A survey of 81 companies reported in The Wall Street Journal found a sample mean tenure of 9.6 years for CEOS with a standard deviation of a = 4.4 years (The Wall Street Journal, January 2, 2007). You don't know the population standard deviation but can assume it is normally distributed. You want to formulate and test a hypothesis that can be used to challenge the validity of the claim made by the group, at a significance level of a = 0.01. Your hypotheses are: Hiu 2 11 H:u < 11 What is the test statistic for this sample? test statistic = (Report answer accurate to 3 decimal places.) What is the p-value for this sample? p-value = [ |(Report answer accurate to 4 decimal places.)
The mean age when people got married for the first time in the year 2000 was 26 years old with a population standard deviation of 6 years. A researcher thinks that marriage age has significantly changed since then. A survey of married persons of this generation was done to see if the mean age has changed. The sample of 50 married persons found that their mean age of first marriage was 27.7 years old. Do the data support the claim at the 10% significance level? What are the correct hypotheses? H0: yearsHa: years Based on the hypotheses, find the following: Test Statistic z = (Give answer to at least 4 decimal places) P-Value= (Give answer to at least 4 decimal places)
It appears that people who are mildly obese are less active than leaner people. One study looked at the average number of minutes per day that people spend standing or walking. Among mildly obese people, the mean number of minutes of daily activity (standing or walking) is approximately Normally distributed with 375 minutes and standard deviation 6565 minutes. The mean number of minutes of daily activity for lean people is approximately Normally distributed with 530 minutes and standard deviation 109 minutes. A researcher records the minutes of activity for an SRS of 55 mildly obese people and an SRS of 55 lean people. (a) What is the probability that the mean number of minutes of daily activity of the 55 mildly obese people exceeds 410 minutes? (Enter your answer rounded to four decimal places.)
The mean BMI in patients free of diabetes has been reported as 27.8. An investigator measured BMI in 12 patients who are free of diabetes and found a mean BMI of 30.2 with a standard deviation of 5.5. The investigator hypothesizes that the BMI in patients free of diabetes is higher than what has been reported. Is there evidence that the BMI is significantly higher that 27.8? Use a 5% level of significance. Give each of the following to receive full credit: 1) the appropriate null and alternative hypotheses; 2) the appropriate test; 3) the decision rule; 4) the calculation of the test statistic; and 5) your conclusion including a comparison to alpha or the critical value. You MUSTshow your work to receive full credit. Partial credit is available.
A shareholders' group is lodging a protest against your company. The shareholders group claimed that the mean tenure for a chief exective office (CEO) was at least 8 years. A survey of 113 companies reported in The Wall Street Journal found a sample mean tenure of 6.3 years for CEOS with a standard deviation of s = 5.1 years (The Wall Street Journal, January 2, 2007). You don't know the population standard deviation but can assume it is normally distributed. You want to formulate and test a hypothesis that can be used to challenge the validity of the claim made by the group, at a significance level of = 0.001. Your hypotheses are: H.: µ > 8 На: и < 8 What is the test statistic for this sample? test statistic = (Report answer accurate to 3 decimal places.) What is the p-value for this sample? p-value = (Report answer accurate to 4 decimal places.) The p-value is... O less than (or equal to) a O greater than a This test statistic leads to a decision to... reject the null accept the null…
The sample mean weight of 200 adult vulturine parrots was measured to be 734.2 grams, with a standard deviation of 15.7 grams. Using a 10% level of significance, what could we claim about the population mean weight for all vulturine parrots so that the hypothesis will fail to be rejected?
Do men take a different amount of time than women to get out of bed in the morning? The 54 men observed averaged 4.3 minutes to get out of bed after the alarm rang. Their standard deviation was 1.4. The 59 women observed averaged 5 minutes and their standard deviation was 2.8 minutes. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use t-test for the difference between two independent population means b. The null and alternative hypotheses would be: Ho: μ1 = + μ2 (please enter a decimal) H₁: μ1 # ♦ μ2 (Please enter a decimal) (please show your answer to 3 decimal places.) c. The test statistic t = d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is α f. Based on this, we should fail to reject + the null hypothesis.
It appears that people who are mildly obese are less active than leaner people. One study looked at the average number of minutes per day that people spend standing or walking. Among mildly obese people, the mean number of minutes of daily activity (standing or walking) is approximately Normally distributed with 365 minutes and standard deviation 69 minutes. The mean number of minutes of daily activity for lean people is approximately Normally distributed with 528 minutes and standard deviation 106 minutes. A researcher records the minutes of activity for an SRS of 66 mildly obese people and an SRS of 66 lean people. James A. Levine et al., "Inter-individual variation in posture allocation: Possible role in human obesity," Science, 307 (2005), pp. 584-586. What is the probability that the mean number of minutes of daily activity of the 66 mildly obese people exceeds 420 minutes? Give your answer to four decimal places. probability: What is the probability that the…
The mean number of English courses taken in a two-year time period by male and female college students is believed to be about the same. An experiment is conducted and data are collected from 24 males and 26 females. The males took an average of 4.2 English courses with a standard deviation of 1.1. The females took an average of 3.9 English courses with a standard deviation of 0.7. Conduct a hypothesis test at the 4% level of significance to determine whether the means are statistically the same. Step 1: State the null and alternative hypotheses. Ho: H1 = V H.: H1 – µ2 # v test.) (So we will be performing a two-tailed
Given that the researcher wants to be sure the mean difference in the change in hemoglobin levels has a margin of error no more than 0.2 g/dL and the difference in the stand deviation between the mean hemoglobin levels for the two forms of iron supplements used to treat anemia is 1.2 g/dL, what is the desired number of recruits for the study, assuming the individuals will participate in a crossover trial, if the study’s attrition rate is expected to be .25? Group of answer choices n = 139 n = 554 n = 185 n = 55,320
The mean age when smokers first start is 13 years old with a population standard deviation of 1.8 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS—electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 30 smokers found that their mean starting age was 12.2 years old. Do the data support the claim at the 10% significance level? What are the correct hypotheses? H0: yearsH1: years Based on the hypotheses, find the following: Test Statistic z = (Give answer to at least 4 decimal places)Critical Values =± (Give answer to at least 4 decimal places) Based on the above we choose to The correct summary would be: that the claim that the mean age smokers first start is different than 13.

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