←Suppose a simple random sample of size n= 150 is obtained from a population whose size is N=25,000 and whosepopulation proportion with a specified characteristic is p=0.2. Complete parts (a) through (c) below.(a) Describe the sampling distribution of p.Choose the phrase that best describes the shape of the sampling listribution below.OA Not normal because n ≤0.05N and np(1-p) 2 10.OB. Not normal because n ≤0.05N and np(1-p) < 10.c. Approximately normal because n≤0.05N and np(1-p) 2 10.O D. Approximately normal because n ≤0.05N and np(1-p) <10.Determine the mean of the sampling distribution of p.H = 2 (Round to one decimal place as needed.)Determine the standard deviation of the sampling distribution of p.G= 0.03266 (Round to six decimal places as needed.)P(b) What is the probability of obtaining x = 36 or more individuals with the characteristic? That is, what is P(p20.24)?P(p20.24)= (Round to four decimal places as needed.)an exampleGet more help.Clear allCheck answer

The question is about sampling distributionGiven :Randomly selected no. of observations ( n ) =…

Answered: Suppose a simple random sample of size…

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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Suppose a simple random sample of sizen3200 is obtained from a population whose size is N=20,000 and whose population proportion with a specified characteristic is p= 0.4. Complete parts (a) through (c) below. ... (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. OA Not normal becausens0.05N and np(1-p) 10. OC. Not normal becausens0.05N and np(1-p) 10. O D. Approximately normal because n<0.05N and np(1-p) < 10. Determine the mean of the sampling distribution of p. HA= 0.4 (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. on = 0.034641 (Round to six decimal places as needed.) (b) What is the probability of obtaining x = 90 or more individuals with the characteristic? That is, what is P(p20.45)? P(p20.45) = (Round to four decimal places as needed.) Clear all Check answer
Consider two populations for which μ₁ = 34,0₁ = 3₁ μ₂ = 27, and σ₂ = 4. Suppose that two independent random samples of sizes n₁ = 47 and n₂ = 54 are selected. Describe the approximate sampling distribution of x₁ - x₂ (center, variability, and shape). What is the shape of the distribution? O The distribution would be non-normal. O The distribution is approximately normal. O The shape cannot be determined. What is the mean of the distribution? What is the standard deviation of the distribution? (Round your answer to three decimal places.)
Suppose a simple random sample of size n = 200 is obtained from a population whose size is N = 20,000 and whose population proportion with a specified characteristic is p = 0.8. Complete parts (a) through (c) below. (a) Describe the sampling aistribution or p. Choose the phrase that best describes the shape of the sampling distribution below. A. Approximately normal because n ≤0.05N and np(1-p) ≥ 10. OB. Not normal because n ≤0.05N and np(1-p) < 10. OC. Not normal because n ≤0.05N and np(1-p) ≥ 10. O D. Approximately normal because n ≤0.05N and np(1-p) < 10. Determine the mean of the sampling distribution of p. HA 8 (Round to one decimal place as needed.) p Determine the standard deviation of the sampling distribution of p. GA .028284 (Round to six decimal places as needed.) р (b) What is the probability of obtaining x= 162 or more individuals with the characteristic? That is, what is P(p ≥0.81)? P(p20.81)=(Round to four decimal places as needed.) example Get more help. % 5 ... 6 I'…
Suppose a simple random sample of size n = 200 is obtained from a population whose size is N = 15,000 and whose population proportion with a specified characteristic is p = 0.2. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. O A. Not normal because n ≤0.05N and np(1-p) 10. O D. Approximately 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.) Hp C
Suppose a simple random sample of size n= 125 is obtained from a population whose size is N= 25,000 and whose population proportion with a specified characteristic is p= 0.8. Complete parts (a) through (c) below. (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. O A. Not normal because ns0.05N and np(1- p) 2 10. O B. Approximately normal because ns0.05N and np(1- p) 2 10. O C. Not normal because ns0.05N and np(1- p) < 10. O D. Approximately 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. OA = (Round to six decimal places as needed.) (b) What is the probability of obtaining x= 105 or more individuals with the characteristic? That is, what is P(p 20.84)? P(p20.84) = (Round to four decimal places as needed.) (c) What is the probability of obtaining x =…
The 11 participants in an experiment had the following reaction times (in milliseconds). 231, 480, 480, 484, 486, 492, 497, 501, 505, 507, 509 Complete the parts below to identify any outliers. (a) Let Q, be the lower quartile and Q, be the upper quartile of the data set. Find Q, and Q, for the data set. 2₁-0 2₁-0 (b) Find the interquartile range (IQR) of the data set. IQR- (c) Calculate a lov boundary using Q₁-1.5 1QR. Calculate an upper boundary using Q, +1.5-1QR. (Note that 1.5 1QR means 1.5 times the IQR.) Lower boundary: Upper boundary: (d) Any values less than the lower boundary or greater than the upper boundary are considered outliers. Identify all the outliers of the data set. If there is more than one outlier, separate them with commas. If there are no outliers, click "None". Outliers: na None
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Suppose a simple random sample of size n= 125 is obtained from a population whose size is N = 20,000 and whose population proportion with a specified characteristic is p = 0.4. Complete parts (a) through (c) below. (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. O A. Approximately normal because ns0.05N and np(1- p) 2 10. O B. Approximately normal because ns0.05N and np(1- p) < 10. O C. Not normal because ns0.05N and np(1- p) 2 10. O D. Not normal because ns0.05N 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. =(Round to six decimal places as needed.) (b) What is the probability of obtaining x= 55 or more individuals with the characteristic? That is, what is P(p20.44)? P(p20.44) = (Round to four decimal places as needed.) (c) What is the probability of obtaining x = 40 or…
Suppose a simple random sample of size n= 50 is obtained from a population whose size is N= 10,000 and whose population proportion with a specified characteristic is p= 0.4. Complete parts (a) through (c) below. (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. O A. Not normal because n 10. C. Approximately normal because ns0.05N and np(1 - p) < 10. O D. Not normal because n <0.05N and np(1 - p) 2 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. On = (Round to six decimal places as needed.) (b) What is the probability of obtaining x= 21 or more individuals with the characteristic? That is, what is P(p 2 0.42)? P(p 20.42) = (Round to four decimal places as needed.) (c) What is the probability of obtaining x = 16 or fewer individuals with the characteristic? That is, what is P(ps0.32)?…
According to a survey in a country, 24% of adults do not own a credit card. Suppose a simple random sample of 900 adults is obtained. Complete parts (a) through (d) below. (a) Describe the sampling distribution of p, the sample proportion of adults who do not own a credit card. 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 O B. Not normal because ns 0.05N and np(1-p)2 10 O C. Approximately normal because ns0.05N and np(1 -p)< 10 O D. Approximately normal because n<0.05N and np(1-p)2 10 Determine the mean of the sampling distribution of p. HA = (Round to two decimal places as needed.) Determine the standard deviation of the sampling distribution of p. OA = (Round to three decimal places as needed.) (b) What is the probability that in a random sample of 900 adults, more than 27% do not own a credit card? The probability is (Round to four decimal places as needed.) (c) What is the probability that in…

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