A study was conducted to investigate how effective a new diet was at lowering cholesterol. Thesubjects' cholesterol levels were measured by the day before the dieting period began and eightweeks later. The measurements are given in the table below. Subjects were randomly selectedto be part of the experiment.SubjectBeforeAfterFGH238 240207 189 209 217 202 211 223ABC D E209 210 205 198 216 217199I2222011. We wish to conduct the hypothesis test to determine if there is evidence of a decrease incholesterol levels from the before to after measurements.A. What are the hypotheses for this test?B. Regardless of whether you believe the conditions are met or not, conduct thehypothesis test. What do the results tell us?

Followings are the explanation of the question Use the excel and find the Mean and Standard…

Answered: 1. We wish to conduct the hypothesis…

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 poll of 2,122 randomly selected adults showed that 93% of them own cell phones. The technology display below results from a test of the claim that 92% of adults own cell phones. Use the normal distribution as an approximation to the binomial distribution, and assume a 0.05 significance level to complete parts (a) through (e). Test of p = 0.92 vs p *0.92 Sample X 1 N 2,122 1970 Sample p 0.928369 95% CI The P-value is (Round to three decimal places as needed.) (0.917397,0.939341) a. Is the test two-tailed, left-tailed, or right-tailed? O Two-tailed test O Left-tailed test O Right tailed test b. What is the test statistic? The test statistic is (Round to two decimal places as needed.) c. What is the P-value? Z-Value 1.42 P-Value 0.155
Describe the type I error and the type II error for a hypothesis tests of the given claim. The proportion of settled medical malpractice suits is 0.22. Which of the following is a type I error? A. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually different from 0.22. O B. Fail to reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually different from 0.22. C. Fail to reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually 0.22. O D. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually 0.22. Which of the following is a type II error? O A. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually different from 0.22. O B. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually 0.22. O C.…
What is H0? And why do we evaluate it instead of the scientific hypothesis?
3. School administrators are interested to see if computer science majors and engineering majors study the same amount of hours per week, on average. A random sample of 125 computer science majors returns a sample average of 25 hours per week and a sample standard deviation of 2 hours. Next, a random sample of 144 engineering majors returns a sample average of 22 hours with a sample standard deviation of 3 hours.
Which of the following relates to the acceptance of the null hypothesis when it is actually false?1. Type I error 2. Type II error 3. Power 4. Statistical significance
Compare statistical testing with legal methods used in a U.S. court setting. Then discuss the following topics in class or consider the topics on your own. Please write a brief but complete essay in which you answer the following questions. (a) In a court setting, the person charged with a crime is initially considered to be innocent. The claim of innocence is maintained until the jury returns with a decision. Explain how the claim of innocence could be taken to be the null hypothesis. Do we assume that the null hypothesis is true throughout the testing procedure?What would the alternate hypothesis be in a court setting?(b) The court claims that a person is innocent if the evidence against the person is not adequate to find him or her guilty. This does not mean, however, that the court has necessarily proved the person to be innocent. It simply means that the evidence against the person was not adequate for the jury to find him or her guilty. How does this situation compare with a…
Explain the difference between statistical significance and practical significance. Choose the correct answer below. O A. Statistical significance means that the sample statistic is not likely to come from the population whose parameter is stated in the null hypothesis. Practical significance refers to whether the difference between the sample statistic and the parameter stated in the null hypothesis is large enough to be considered important in an application. O B. Statistical significance refers to how an unusual event is unlikely to actually appear in a real world application, such as every entry in a sample of size 50 having the same value. Practical significance refers to how an unusual event is likely to actually appear in a real world application, such as a rejection of a null hypothesis using data that looks feasible. O C. Statistical significance refers to the type of hypothesis test needed to analyze a population, with some tests being more important than Z tests. Practical…
The average income of a large sample of households is $63,000 and the s.d. is $7,000. Assume that the data is approximately bell-shaped. What percent of these households have incomes between $42,000 and $77,000? Don’t forget to properly justify your answer using the empirical rule.
I need the bull & alternative hypotheses, test statistic, critical value , & conclusion Thankyou so much
fill in the blank
Further studies to determine the validity of a hypothesis concerning the occurence of disease? A. Analytic Epidemiology B. Descriptive Epidemiology C. Experimental Epidemiology pick the correct answer.
It's important to understand that hypothesis testing is just how statisticians (by "statisticians" I mean people who are working with data, e.g. analysts, auditors, economists, whoever) answer quanitative questions. We intuitively know that not much is truly certain, and that it's really hard (if not impossible) to collect data on everything we are curious about. So we use samples and try to extrapolate to a larger population. For this discussion, I would like each of you to come up with your own interesting hypothesis test. So, you will do the following: 1) Explain the context or story for which you have a problem stats might be able to help with. 2) Come up with the null and alternative hypotheses. This can be in words, or numbers, or a combination of both (I'll give an example below). 3) Explain where/how you might collect data to reach a conclusion for the test. 4) (RESPONSE) When you respond to someone else's post, I want you to critique their test and data. If you can, suggest a…

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