You wish to test the following claim (H.) at a significance level of a = .02.H.:p = 0.59Hap > 0.59You obtain a sample of size n = 137 in which there are 99 successful observations. For this test, youshould NOT use the continunty correction, and you should use the normal distribution as an approximationfor the binomial distribution.a.) The sample proportion p(write as a fraction)b.) What is the test statistic for this sample? (Report answer accurate to 2 decimal places.)test statistic =C.) What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value

Answered: Image /qna-images/answer/a69f1472-3580-4d11-aba2-e78130c9b0fc.jpg

Answered: You wish to test the following claim…

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 grade point averages (GPA) for 12 randomly selected college students are shown on the right. Complete parts (a) through (c) below. Assume the population is normally distributed. 2.4 3.4 2.7 1.8 0.9 4.0 2.2 1.1 3.6 0.4 2.1 3.1 (a) Find the sample mean. x=_____ (Round to two decimal places as needed.) (b) Find the sample standard deviation. s=_____ (Round to two decimal places as needed.) (c) Construct a 90% confidence interval for the population mean μ. A 90% confidence interval for the population mean is (__, __) (Round to two decimal places as needed.)
Suppose x has a normal distribution with mean ? = 53 and standard deviation ? = 7.Describe the distribution of x values for sample size n = 4. (Round ?x to two decimal places.) ?x = ?x = Describe the distribution of x values for sample size n = 16. (Round ?x to two decimal places.) ?x = ?x = Describe the distribution of x values for sample size n = 100. (Round ?x to two decimal places.) ?x = ?x =
The distribution of the number of motor vehicles per household in the United States (the population) and sampling distributions of the mean for samples of size 4 and 10 are shown in below. A.Which distribution is which? Make a rough estimate of the mean and standard deviation of each distribution. Explain the reasons of your choices.b. The mean of the population is about 1.7. Theoretically, what is the mean of the sampling distribution for samples of size 4? Of size 10? Are these computed means consistent with your estimates of the means in the histograms? Briefly explain.c. The standard deviation of the population is about 1. Theoretically, what is the Standard Error (SE) of the sampling distribution for samples of size 4? Of size 10? Are these computed SEs consistent with your estimates of the SEs in the histograms? Briefly explain.d. Compare the shapes of the three distributions. Are the shapes consistent with the Central Limit Theorem? Briefly explain.
Can a normal approximation be used for a sampling distribution of sample means from a population with u = 55 and o = 10, when n = 4? Answer E Tables E Keypad Keyboard Shortcuts O Yes, because the mean is greater than 30. O Yes, because the sample size is less than 30. O No, because the sample size is less than 30. O No, because the standard deviation is too small.
Use the normal distribution to the right to answer the questions. Standardized Test Composite Scores (a) What percent of the scores are less than 19? (b) Out of 1500 randomly selected scores, about how many would be expected to be greater than 21? µ = 20.7 o = 5.4 19 21 Score
The degrees of freedom used when testing two independent samples where the population standard deviation is unknown is Group of answer choices a.n1 + n2 - 2. b.the smaller of n1 - 1 or n2 - 1. c.n1 + n2 - 1. d.the larger of n1 - 1 or n2 - 1.
I'm completly lost on the problem. Can you please help me. I'm confused om P and P
answer d)
Using this data set What is the standard error of the relevant distribution? Ignoring that the number of men in the 2012 Survey was about 17,675, and the number of women was about 18,634, assume the samples were 100 men and 100 women in each Survey My worked solution is: P1: men proportion change = 15.5/100 = 0.155 N1 = 100 P2: women proportion change = 57.9/100 = 0.579 N2 = 100 {[0.155 * (1 - 0.155) /] + [0.579 * (1 - 0.579) / 100]} = 0.0037 Standard Error = 0.0037 is this correct?
Answer these question
What proportion of a normal distribution corresponds to z scores greater than -0.82? Question 10 options: 0.2061 0.2939 0.5000 0.7939

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