Describe the sampling distribution of p. Assume the size of the population is 25,000.n=500, p 0.7Choose 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.OB. Approximately normal because ns0.05N and np(1-p)< 10.C. Not normal because n s0.05N and np(1-p)< 10.OD. Not normal because n s0.05N and np(1- p) 10.Determine the mean of the sampling distribution of p.p1-(Round to one decimal place as needed.)

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Answered: Describe the sampling distribution of…

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=300, p = 0.6 Choose the phrase that best describes the shape of the sampling distribution of p below. O 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 (Round to one decimal place as needed.) HA= p Determine the standard deviation of the sampling distribution of p (Round to three decimal places as needed.). p
Q2 // At a site, the depth of the sand layer was measured for 10 points, and the results were as below, I calculate? 1. The arithmetic mean of the data. 2. The arithmetic mean from the frequency table starts with the class 2.30-1.51 1.55 2.41 2.91 3.26 3.41 3.73 3.84 3.99 4.02 4.13
Describe the indicated sampling distribution model. Statistics from a weather center indicate that a certain city receives an average of 14 inches of snow each year, with a standard deviation of 5 inches. Assume that a Normal model applies. A student lives in this city for 7 years. Let y represent the mean amount of snow for those 7 years. Describe the sampling distribution model of this sample mean. O A. N(14,0.71) O B. N(14, 5) OC. N(14, 1.89) OD. Binom(14, 5) O E. There is not enough information to describe the sampling distribution.
The national distribution of fatal work injuries in a country is shown in the table to the right under National %. You believe that the distribution of fatal work injuries is different in the western part of the country and randomly select 6231 fatal work injuries occurring in that region. At a = 0.05 National % 42% Western Frequency 2893 Cause Transportation can you conclude that the distribution of fatal work injuries in the west is different from the national distribution? Complete parts a through d below. Equipment Assaults Falls Harmful fumes 19% 1157 14% 806 13% 753 10% 532 Fires 2% 90 a. State Ho and H and identify the claim. What is the null hypothesis, Ho? O A. The distribution of fatal work injuries in the west is 42% transportation, 19% equipment, 14% assaults, 13% falls, 10% harmful fumes, and 2% fires O B. The distribution of fatal work injuries in the west differs from the expected distribution. O C. The distribution of fatal work injuries in the west is 2893…
Describe the sampling distribution of p. Assume the size of the population is 30,000. n=800, p= 0.4
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 68 of the distribution. 56 The five-number summary is Choose the correct boxplot of the data below. O A. 40 50 60 ☐☐ 70 Choose the correct description of the shape of the distribution. A. The distribution is skewed to the left. B. The distribution is skewed to the right. C. The distribution is roughly symmetric. D. The shape of the distribution cannot be determined from the boxplot. O B. 40 50 60 70 C. 40 69 68 50 3 60 70 41 59 66 65 57 48 67 66 59 67 44
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
Describe the sampling distribution of p. Assume the size of the population is 20,000. n = 500, p=0.8 Choose 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 =
Let sample size n = 51. Find P (t > 4.92). a. 0.0005 < P (t > 4.92) < 0.001 b. 0.001 < P (t > 4.92) < 0.0025 c. P (t > 4.92) < 0.0005 d. P (t > 4.92) > 0.25
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)
Biologists studying horseshoe crabs want to estimate the percent of crabs in a certain area that are longer than 35 centimeters. The biologists will select a random sample of crabs to measure. Which of the following is the most appropriate method to use for such an estimate? A one-sample z-interval for a population proportion A A one-sample z-interval for a sample proportion B A two-sample z-interval for a population proportion C A two-sample z-interval for a difference between population proportions D A two-sample z-interval for a difference between sample proportions

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