A professor claims that the average grade of students in her courses is 80%. Identify Type II error for this claim.O Fail to reject the claim that average grade is 80% when it is actually 80%.O Fail to reject the claim that average grade is 80% when it is actually different from 80%.O Reject the claim that average grade is 80% when it is actually 80%.O Reject the claim that average grade is 80% when it is actually different from 80%.

We have given claim: Notationally we can write null an alternative are, H0: μ=80 i.e. The average…

Answered: A professor claims that the average…

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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Which of the following accurately describes the effect of increasing the sample size? O Increases the standard error and has no effect on the risk of a Type l er Decreases the risk of a Type l error and has no effect on the standard error O Decreases the standard error and has no offect on the risk of a Type l error O Increases the risk of a Type l error and has no effect an the standard erro
Use the table to answer the questions. Compute the prevalence of true diabetes in this population. Compute the sensitivity of the test. Explain in words what your sensitivity answer means. (Do not just write the definition; include your result!) Compute the specificity of the test. Explain in words what your specificity answer means. (Do not just write the definition; include your result!) Compute the positive predictive value of the test. Explain in words what your positive predictive value answer means. (Do not just write the definition; include your result!)
Which of the following describes a Type I error? A. Error associated with decisions to retain the null B. You decide that there is a statistical difference when there is actually no difference C. You decide that there is no difference when there is actually a statistical difference
Write the null and hypothesis for this test.
In 2000, the mean math SAT score for students at one school was 472. Five years later, in 2005, a teacher performed a hypothesis test to determine whether the average math SAT score of students at the school had changed from the 2000 mean of 472. The hypotheses were as follows where u is the mean math SAT score, in 2005, for students at the school. Ho: H = 472 Hạ: u # 472 A type Il error would occur if, in fact, p = 472, but the results of the sampling do not lead to rejection of that fact u # 472, and the results of the sampling lead to that conclusion µ # 472, but the results of the sampling fail to lead to that conclusion p = 472, but the results of the sampling lead to the conclusion that p # 472
A sample of 10 students took a class designed to improve their SAT math scores. Following are their scores before and after the class. Can you conclude that the mean increase in scores is greater than 15 points? Let m1 represent the mean score after the class and md=m1-m2. Use the a=0.05 level and the p-value method with the TI-84 Plus calculator. before is 447,440, 439, 435, 451, 453, 491, 526, 473, 440. after is 482, 479, 451, 431, 454, 463, 511, 529, 493, 466.
Suppose that 65% of people who enter a store will make a purchase. Random samples of people who walk into a particular store is studied, and the proportion of those who made a purchase is found for each sample. Assume that all the samples were the same size. If 34.09% of all sample proportions are less than 0.5967. What was the z-score for 0.5967? What is op ? z=score for 0.5967 = Oy =
3. The probability of successfully navigating an asteroid field in a science fiction movie is found to be 0.01. A total of2000 spaceships attempt to navigate the field, and the number that make it through is recorded. Can thisdistribution be modelled using a normal approximation?
It has been claimed that at UCLA at least 40% of the students live on campus. In a random sample of 250 students, 90 were found to live on campus. Does the evidence support the claim at = .01?
Discuss the assumptions for one-sampled t-test and why they are important.
A new screening test for Lyme disease is developed for use in the general population. The sensitivity and specificity of the new test are 60% and 70%, respectively. Five hundred people are screened at a clinic during the first year the new test is implemented. Assume the true prevalence of Lyme disease among clinic attendees is 10%. Calculate the predictive value of a positive test.
The mean height of a certain kind of plant is 170 centimeters. Suppose we want to carry out a hypothesis test to see if the mean height when these plants are treated with a certain chemical differs from 170. State the null hypothesis H0 and the alternative hypothesis H1 that we would use for this test.

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