When 95% Confidence Intervals between means are compared, which of the following allows the null hypothesis to beaccepted?That the (technical replicates) n> 10 and the error bars overlap is 1That the (technical replicates) n = 3 and the error bars overlap is 1.5%3DThat the (biological replicates) n = 3 and the error bar overlap is 0%3DThat the (biological replicates) n = 10 and the error bar overlap is > 0.5

Answered: When 95% Confidence Intervals between…

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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When joint confidence intervals for β0 and β1 are developed by the Bonferroni method with a family confidence coefficient of 90 percent, does this imply that 10 percent of the time the confidence interval for β0 will beincorrect? That 5 percent of the time the confidence interval for β0 will beincorrect and 5 percent of the time that for β1 will be incorrect? Discus.
A district official intends to use the mean of a random sample of 150 sixth graders from a very large school district to estimate the mean score that all the sixth graders in the district would get if they took a certain arithmetic achievement test. If, based on experience, the official knows that = 9.4 for such data, suppose that the district official takes her sample and gets = 61.8. Use all the given information to construct a 99% confidence interval for the mean score of all the sixth graders in the district.
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A hypothesis was tested twice using a two - tailed z- test. The first test was done with a 5% significance level while the second test using a 10% significance level. If the test stastic for both tests is - 1.75, which of the following is true? A At 5% and 10% alpha level, the null hypothesis is accepted B The null hypothesis is rejected at 5% and accepted at 10% C The null hypothesis rejected for both tests At 5% the null hypothesis is accepted and rejected at 10%
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When 95% Confidence Intervals between means are compared, which of the following allows the null hypothesis to be accepted? O That the (technical replicates) n> 10 and the error bars overlap is 1 O That the (technical replicates) n 3 and the error bars overlap is 1.5 O That the (biological replicates) n 3 and the error bar overlap is 0 That the (biological replicates) n= 10 and the error bar overlap is > 0.5
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Construct a 99% confidence interval for the population standard deviation σ if a sample of size 11 has standard deviation s=15
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A random sample of 100 students is taken from a larger population of students in a multi-lecture course and the sample mean (average) of their final grades is found to be 62.25. Suppose that the population standard deviation is known to be 3. Which of the following is correct? A 90% Z confidence interval for the true population mean that is calculated from this sample data of 100 students will be wider than a 95% Z confidence interval for the true population mean that is calculated from this sample data of 100 students. b. A 95% Z confidence interval for the true population mean that is calculated from this sample data of 100 students will be narrower than a 90% Z confidence interval for the true population mean that is calculated from this sample data of 100 students. c. A 90% Z confidence interval for the true population mean that is calculated from this sample data of 100 students would be narrower than a 90% Z confidence interval for the true population mean that is…
The club will be preparing his male team players for the next basketball competition and the club randomly selects 30 of his male players and check their weights. The following table shows summary statistics for those players weights. Variable n Mean Standard deviation, s Weight 30 102 14 Calculate a 95% confidence interval (C.I.) for the population mean weight of all basketball male players in the club. What assumption would you need to make for the CI to be valid. Choose one from below. - Since nπnπ and n(1−π)n(1−π) are both ≥5, the Central Limit Theorem applies and we can assume that p arises from a normal distribution - The shape of the histogram indicates that the scores may be from a normal distribution and/or the sample size is reasonably large so the sample mean will be from a normal population - Since the population is normal, therefore sample means follow a normal distribution - The points are randomly scattered around a straight line, so…

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