Exercise # 6 from practice handout chapter 8 1. Describe the sampling distribution of p. Assume...
Describe the sampling distribution of . Assume that the size of population 25,000. n =1000, P = 0.2
This Question: 1 pt 9 of 16 (6 complete) Describe the sampling distribution of p. Assume the size of the population is 25,000. n-500, p 0.589 Describe the shape of the sampling distribution of ß. Choose the correct answer below O A. OR O C. D. The shape of the sampling distribution of p is approximately normal because ns0.05N and mpl1-p)210. The shape of the samping distribution of p is approximately normal because n SOON and np(1-p-10. The shape of...
Describe the sampling distribution of p. Assume the size of the population is 30,000. n=800, p=0.4 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 standard deviation of the sampling distribution of p.
Describe the sampling distribution of p. Assume the size of the population is 25,000. n 700, p 0.548 Describe the shape of the sampling distribution of p. Choose the correct answer below. O A. O B. The The shape of the sampling distribution of p is not normal because ns 0.05N and np ( p)10 n0.05N and np(1-p)1 distribution of p is approximately normal because ns The shape of the sampling distribution of p is approximately normal because ns0.05N and...
Describe the sampling distribution of p. Assume the size of the population is 25,000. n = 200, p = 0.8 Choose the phrase that best describes the shape of the sampling distribution of p below. O O A. Not normal because ns0.05N and np(1 - p) 2 10. B. Not normal because n s 0.05N and np(1-p) < 10. OC. Approximately normal because ns0.05N and np(1 - p) 10. OD. Approximately normal because ns0.05N and np(1 - p) < 10....
Describe the sampling distribution of p. Assume the size of the population is 15,000. n=300, p= 0.2 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.Approximately normal because n≤0.05N and np(1−p)≥10. C.Not 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(hat). μp=__ (Round to one decimal place as needed.) Determine the standard deviation of the sampling...
describe the sampling distribution of p̂ .
assume the size of the population is 25000.
choose the phrase that best describes the shape of the sampling
distribution of p̂ below
correct answer was : approx. normal because n≤
0.05 N and np(1-p) ≥ 10.
Determine the mean of the sampling distribution
p̂.
μ p̂= ____?
(round to one decimal place as needed)
posted a picture of all the data i have
MAT-240-T2817 Applied Statistics 19EW2 Homework: 2-2 MyStatLab: Module...
Describe the sampling distribution of p. Assume the size of the population is 15,000 n = 500, p = 0.6 Choose the phrase that best describes the shape of the sampling distribution of p below. A. Approximately normal because ns0.05N and np(1-p) < 10. B. Not normal because ns 0.05N and np(1-p) < 10. OC. Not normal because ns0.05N and np(1-P) 10. O D. Approximately normal because ns 0.05N and np(1-P) 2 10. Determine the mean of the sampling distribution...
Describe the sampling distribution of p. Assume the size of the population is 30,000. n 800, p 0.465 Describe the shape of the sampling distribution of p. Choose the correct answer below O A. The shape of the sampling distribution of p is approximately normal because n s 0.05N and np(1 -p)2 10 О с. OD. The shape of the sampling distribution of pis not normal because n s 0.05N and np(1-p)2 10. Determine the mean of the sampling distribution...
Describe the sampling distribution of p. Assume the size of the population is 30,000. n-1400, p 0.376 Describe the shape of the sampling distribution of p. Choose the correct answer belovw. O A. The shape of the sampling distribution of p is not normal because ns0.05N and np(1-p)210. O B. The shape of the sampling distribution of p is approximately normal because n s0.05N and np(1 p)10. O C. The shape of the sampling distribution of p is approximately normal...