Women athletes at a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 38 womenathletes at the school showed that 23 eventually graduated. Does this indicate that the population proportion of women athletes whograduate from the university is now less than 67% ? Use a 1% level of significance.LAUSE SALTShow Transcribed Text(a) What is the level of significance? What is the value of the sample test statistic? (Round your answer to two decimal places.)(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)Sketch the sampling distribution and show the area corresponding to the P-value.-2N-2-1-10011223@ 0-3Ⓡ0-322-1-10122

The hypothesis being tested is: H0: p = 0.67 Ha: p ≠ 0.67 p̂ = 23/38 = 0.6053

Answered: is une -) Find the P-value of the test…

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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Describe the sampling distribution of p. Assume the size of the population is 20,000. n= 900, p = 0.6 ..... Choose the phrase that best describes the shape of the sampling distribution of p below. O A. Not normal because ns0.05N and np(1 - p) 10. Determine the mean of the sampling distribution of p. Ha = (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.)
A 20 question multiple choice exam was given to a class. The distribution below is for the number of wrong out of twenty. Number Wrong 0 1 2 3 4 5 6 7 8 P(X) ??? 0.07 0.1 0.14 0.13 0.2 0.17 0.03 0.01 Find the missing value from the table. 0.140.14 0.150.15 0.130.13 0.160.16
Let's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these values, calculating the mean of each sample, and then considering the sampling distribution of the mean. To do this, suppose you perform an experiment in which you roll an eight-sided die two times (or equivalently, roll two eight-sided dice one time) and calculate the mean of your sample. Remember that your population is the numbers 1, 2, 3, 4, 5, 6, 7, and 8. The true mean (µ) of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 is , and the true standard deviation (o) is The number of possible different samples (each of size n = 2) is the number of possibilities on the first roll (8) times the number of possibilities on the second roll (also 8), or 8(8) = 64. If you collected all of these possible samples, the mean of your sampling distribution of means (µM) would equal and the standard deviation of your sampling distribution of means (that is, the standard error or ɑm) would be The following chart…
Describe the sampling distribution of p. Round to three decimal places when necessary. N=22,000, n=400, p=0.3
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Describe the sampling distribution of p. Assume the size of the population is 15,000. n= 400, p = 0.4 Choose the phrase that best describes the shape of the sampling distribution of p below. O A. Approximately normal because ns0.05N and np(1- p) < 10. O B. Not normal because ns0.05N and np(1-p) 2 10. O C. Approximately normal because ns0.05N and np(1- p) 10. O D. Not normal because n<0.05N and np(1-p)< 10. Determine the mean of the sampling distribution of p. (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. OA = (Round to three decimal places as needed.)
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Describe the sampling distribution of p. Assume the size of the population is 25,000. n=900 p=0.5 Choose the phrase that best describes the shape of the sampling distribution of p below. A. Not normal because n≤0.05N and np(1−p)≥10 B. Not normal because n≤0.05N and np(1−p)<10 C. Approximately normal because n≤0.05N and np(1−p)≥10. D. Approximately normal because n≤0.05N and np(1−p)<10. Determine the mean of the sampling distribution of p μp=_____ (Round to one decimal place as needed)

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