Describe the sampling distribution of p. Assume the size of the population is 20,000.n = 500, p=0.8Choose the phrase that best describes the shape of the sampling distribution of p below.A. Approximately normal because n ≤0.05N and np(1-p) ≥ 10.B. Not normal because n ≤ 0.05N and np(1-p) 2 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.(Round to one decimal place as needed.)на=

According to the central limit theorem, the sampling distribution of sample proportion which follows…

Answered: scribe the sampling distribution of p.…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Similar questions

The data represent the age of world leaders on their day of inauguration. Find the five-number summary, and construct a boxplot for the data. Comment on the shape of the distribution. draw the correct boxplot of the data given Whats the correct description of the shape of the distribution.
Describe the sampling distribution of p. Assume the size of the population is 25,000 n = 400, p = 0.4 Choose the phrase that best describes the shape of the sampling distribution of p below. OA. Approximately normal because n ≤0.05N and np(1 - p) < 10 B. Not normal because n ≤0.05N and np(1-p) < 10 OC. Approximately normal because n ≤0.05N 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 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) OA = р
Complete parts (a) through (e) for the population data below. 2, 4, 6 d. For each of the possible sample sizes, find the probability that the sample mean will equal the population mean. n Probability 1 1 3 2 3 3 1 (Type integers or simplified fractions.) e. For each of the possible sample sizes, find the probability that the sampling error made in estimating the population mean by the sample mean will be 0.5 or less (in magnitude), that is, that the absolute value of the difference between the sample mean and the population mean is at most 0.5. n 1 2 3 Probability (Type integers or simplified fractions.)
Solve it correctly please. I will rate accordingly with 4votes.
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution is normal only if the population is normal. Choose the correct answer below O A. The statement is false. A sampling distribution is never normal. O B. The statement is false. A sampling distribution is normal only if n230. O C. The statement is true. O D. The statement is false. A sampling distribution is normal if either n230 or the population is normal. Click to select your answer. ... acer
K Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution is normal only if the population is normal. Choose the correct answer below. OA. The statement is true. OB. The statement is false. A sampling distribution is normal if either n ≥ 30 or the population is normal. OC. The statement is false. A sampling distribution is normal only if n ≥ 30. O D. The statement is false. A sampling distribution is never normal. Z-S e
Describe the sampling distribution of p. Assume the size of the population is 20,000. n 800, p 0.356 Describe the shape of the sampling distribution of p. Choose the correct answer below. A. The shape of the sampling distribution of p is not normal because n s 0.05N and np(1 - p)< 10 В. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 -p) 10 A С. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 -p)2 10 D. The shape of the sampling distribution of p is not normal because ns 0.05N and np(1 -p)z 10. Determine the mean of the sampling distribution of p. (Round to three decimal places as needed.) HA р Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) р
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)
Describe the sampling distribution of p. Assume the size of the population is 25,000. n = 600, p = 0.313 A Describe the shape of the sampling distribution of p. Choose the correct answer below. A. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1 - p) ≥ 10. A B. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1 - p) < 10. C. The shape of the sampling distribution of p is not normal because n≤0.05N and np(1-p) ≥ 10. ^ D. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1 − p) < 10. Determine the mean of the sampling distribution of p. H^ = р (Round to three decimal places as needed.) Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) OA = р
Describe the sampling distribution of p. Assume the size of the population is 30,000. n = 900, p = 0.625 Describe the shape of the sampling distribution of p. Choose the correct answer below. A. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1-p) < 10. B. The shape of the sampling distribution of p is approximately normal because n≤0.05N and np(1-p) ≥ 10. C. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1 - p) ≥ 10. р A D. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1-p) < 10. Determine the mean of the sampling distribution of p. (Round to three decimal places as needed.) H₁ = Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) 0₁ = р

Recommended textbooks for you

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Mathematics For Machine Technology

Advanced Math

ISBN:

9781337798310

Author:

Peterson, John.

Publisher:

Cengage Learning,

Basic Technical Mathematics

Advanced Math

ISBN:

9780134437705

Author:

Washington

Publisher:

PEARSON

Topology

Advanced Math

ISBN:

9780134689517

Author:

Munkres, James R.

Publisher:

Pearson,

SEE MORE TEXTBOOKS