sample of college graduates employed full-time and find that the mean of the sample is 37 hours and that the standard deviation is 3 hours. Based on this information, answer the questions below. What are the null hypothesis (H) and the alternative hypothesis (H,) that should be used for the test? HoiH is 7 H:u is 7 In the context of this test, what is a Type I error? A Type I error is 1 fact, u is 7 | the hypothesis that u is 7 when, in Suppose that we decide not to reject the null hypothesis. What sort of error might we be making?

sample of college graduates employed full-time and find that the mean of the sample is 37 hours and that the standard deviation is 3 hours. Based on this information, answer the questions below. What are the null hypothesis (H) and the alternative hypothesis (H,) that should be used for the test? HoiH is 7 H:u is 7 In the context of this test, what is a Type I error? A Type I error is 1 fact, u is 7 | the hypothesis that u is 7 when, in Suppose that we decide not to reject the null hypothesis. What sort of error might we be making?

Name: Some college graduates employed full-time work more than 40 hours per
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Description: Some college graduates employed full-time work more than 40 hours perweek, and some work fewer than 40 hours per week. We suspect that themean number of hours worked per week by college graduates, µ, is lessthan 40 hours and wish to do a statistical

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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A clinical researcher performs a clinical trial on 6 patients to determine whether a drug treatment has an effect on serum glucose. The sample mean glucose of the patients before and after the treatment are summarized in the following table. The sample standard deviation of the differences was 10. Sample mean glucose (mg/dL) Before treatment 105 After treatment 99 What type of hypothesis test should be performed?_______ select (left-tailed z-test, Paired t-test, two-tailed z-test, unpaired t-test) What is the test statistic?_______ (Ex: 0.123) What is the number of degrees of freedom? _______ (Ex: 25) Does sufficient evidence exist to support the claim that the drug treatment has an effect on serum glucose at the α=0.01 significance level? ______ select (no or yes)
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Total blood volume (in ml) per body weight (in kg) is important in medical research. For healthy adults, the red blood cell volume mean is about µ = 28 ml/kg with a standard deviation of 4.75ml/kg. Red blood cells volume that is too low or too high can indicate a medical problem. Suppose he does a hypothesis test with a significance level of 0.01. Roger has had seven blood tests and the red blood cell volumes were: 32 25 41 35 30 37 29 Roger’s null hypothesis is that his blood tests are normal and that his alternative hypothesis is that something is wrong. Symbolically, the null and hypotheses are as follows Ho: µ = 28 ml/kg and Hi: µ ≠ 28 ml/kg What value of the test statistic (z) should he report? (Sampling a Normal Distribution for the Mean µ) Group of answer choices a. 0.99 b.2.42 c.2.62 d.2.22
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A clinical researcher performs a clinical trial on 6 patients to determine whether a drug treatment has an effect on serum glucose. The sample mean glucose of the patients before and after the treatment are summarized in the following table. The sample standard deviation of the differences was 9. Sample mean glucose (mg/dL) Before treatment 96 After treatment 87 What type of hypothesis test should be performed? What is the test statistic? What is the number of degrees of freedom? Does sufficient evidence exist to support the claim that the drug treatment has an effect on serum glucose at the α=0.01 significance level?
The score obtained on an intelligence test is normally distributed, with anaverage score (ʅ) of 120 and a standard deviation (ʍ) of 12.5. What is theprobability that a randomly selected person will obtain a score between 119and 122? interpret your answer.
An electrician wants to know whether batteries made by two manufacturers have significantly different voltages. The voltage of 131 batteries from each manufacturer were measured. The population standard deviations of the voltage for each manufacturer are known. The results are summarized in the following table. Manufacturer Sample mean voltage (millivolts) Population standard deviat A 116 3 115 4 What type of hypothesis test should be performed? Right-tailed z-test v What is the test statistic? Ex: 0.12 Does sufficient evidence exist to support the claim that the voltage of the batteries made by the two manufacturers is different at the a = 0.01 significance level? Select v
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How to write the hypothesis claim? My claim is students at the university use 10 or more hours of social media weekly. My sample was from 40 students