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 = 90 or fewer individuals with the characteristic? That is, what is P(ps0.72)?P(ps0.72) = (Round to four decimal places as needed.)

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

See similar textbooks

Similar questions

The acceptable level for insect filth in a certain food item is 4 insect fragments (larvae, eggs, body parts, and so on) per 10 grams. A simple random sample of 40 ten-gram portions of the food item is obtained and results in a sample mean of x = 4.8 insect fragments per ten-gram portion. Complete parts (a) through (c) below. (a) Why is the sampling distribution of x approximately normal? A. The sampling distribution of x is assumed to be approximately normal. B. The sampling distribution of x is approximately normal because the population is normally distributed and the sample size is large enough. C. The sampling distribution of x is approximately normal because the population is normally distributed. D. The sampling distribution of x is approximately normal because the sample size is large enough. (b) What is the mean and standard deviation of the sampling distribution of x assuming μ=4 and σ = 4? μx = nothing…
A random sample of n = 49 observations is drawn from a population with a mean equal to 24 and a standard deviation equal to 21. Complete parts a through g below. a. Give the mean and standard deviation of the (repeated) sampiling distribution x. H;= 24 0-3 (Type integers or decimals.) b. Describe the shape of the sampling distribution of x. Does this answer depend on the sample size? Choose the correct answer below. A. The shape is that of a normal distribution and does not depend on the sample size. OB. The shape is that of a uniform distribution and does not depend on the sample size. C. The shape is that of a uniform distribution and depends on the sample size. D. The shape is that of a normal distribution and depends on the sample size. c. Calculate the standard normal z-score corresponding to a value of x= 23.4. (Type an integer or a decimal) 25
Are phone calls equally likely to occur any day of the week? The day of the week for each of 420 randomly selected phone calls was observed. The results are displayed in the table below. Use an a = 0.05 significance level. a. Complete the rest of the table by filling in the expected frequencies: Frequencies of Phone Calls for Each Day of the Week Outcome Frequency Expected Frequency Sunday 61 Monday 70 Tuesday 69 Wednesday 50 Thursday 40 Friday 64 Saturday 66 b. What is the correct statistical test to use? Select an answer ✓ c. What are the null and alternative hypotheses? Ho: The distribution of phone calls is not uniform over the days of the week. Phone calls and days of the week are dependent. Phone calls and days of the week are independent. O The distribution of phone calls is uniform over the days of the week.
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
Solve it correctly please. I will rate accordingly with 4votes.
The acceptable level for insect filth in a certain food item is 2 insect fragments (larvae, eggs, body parts, and so on) per 10 grams. A simple random sample of 50 ten-gram portions of the food item is obtained and results in a sample mean of x= 2.6 insect fragments per ten-gram portion. Complete parts (a) through (c) below. (a) Why is the sampling distribution of x approximately normal? O A. The sampling distribution of x is approximately normal because the population is normally distributed. O B. The sampling distribution of x is assumed to be approximately normal. OC. The sampling distribution of x is approximately normal because the sample size is large enough. O D. The sampling distribution of x is approximately normal because the population is normally distributed and the sample size is large enough. Click to select your answer and then click Check Answer. 5 parts remaining Clear All Chect Arw P Type here to search AD4 4 ENG 746 PM 3/28/2021 DELL 1Home PoUp Delete PrtScr Insert…
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…
Use the Student's tt-distribution to find the tt-value for each of the given scenarios. Round tt-values to four decimal places. Find the value of tt such that the area in the left tail of the tt-distribution is 0.0005, if the sample size is 73. t= Find the value of tt such that the area in the right tail of the tt-distribution is 0.01, if the sample size is 76. t= Find the value of tt such that the area in the left tail of the tt-distribution is 0.05, if the sample size is 74. t= Find the two values of tt such that 95% of the area under the tt-distribution is centered around the mean, if the sample size is 32. Enter the solutions using a comma-separated list. t=
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. 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. YA. 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 ns 0.05N 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. HA = (Round to one decimal place as needed.)
A random sample of n = 78 measurements is drawn from a binomial population with probability of success 0.2. Complete parts a through d below. a. Give the mean and standard deviation of the sampling distribution of the sample proportion, p. The mean of the sampling distribution of p is The standard deviation of the sampling distribution of p is (Round to four decimal places as needed.) b. Describe the shape of the sampling distribution of p. OA. The shape of the sampling distribution of p is approximately normal because the sample size is large. OB. The shape of the sampling distribution of p is approximately uniform because the sample size is large. OC. The shape of the sampling distribution of p is approximately normal because the sample size is small. OD. The shape of the sampling distribution of p is approximately uniform because the sample size is small. c. Calculate the standard normal'z-score corresponding to a value of p = 0.32. The standard normal z-score corresponding to a…
According to a survey in a country, 38% of adults do not own a credit card. Suppose a simple random sample of 500 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. OA. Approximately normal because n ≤0.05N and np(1-p) 10 Determine the mean of the sampling distribution of p. H₂ = (Round to two decimal places as needed.)

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS