Describe the sampling distribution of p. Assume the size of the population is 20,000.n = 900, p = 0.2Choose 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.OB. Not normal because n ≤0.05N and np(1 - p) < 10.c. Approximately normal because n≤0.05N and np(1 - p) ≥ 10.OD. Not 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 =р

Answered: Choose the phrase that best describes…

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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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 =…
Suppose that the weight of seedless watermelons is normally distributed with mean 6 kg. and standarddeviation 1.4 kg. Let X be the weight of a randomly selected seedless watermelon. Round all answers to 4 decimal places where possible.a. What is the distribution of X? X ~ Nb. What is the median seedless watermelon weight? c. What is the Z-score for a seedless watermelon weighing 7 kg? d. What is the probability that a randomly selected watermelon will weigh more than 5.3 kg? e. What is the probability that a randomly selected seedless watermelon will weigh between 5.2 and 5.7 kg? f. The 75th percentile for the weight of seedless watermelons is kg.
R4
How is the t distribution different from the Z distribution? a. The t distribution does not have any negative numbers. b. The t distribution is asymmetrical; that is, it is not a mirror image on each side of the population mean. c. The t distribution is wider than the Z distribution due to lower sample size. d. All of the above are differences between the t and Z distributions
38)
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…
Is it possible for the 50th percentile of a distribution to be equal to the 60th percentile? Why or why not? A. No, because you won’t get the same result multiplying by 50 as you do by 60. B. No, because there will always be some values of the distribution in between the 50th and 60th percentiles. C. Yes, this can happen if the distribution is uniform. D. Yes, this can happen if there are many members of the population with the same value.
52. Multiple Choice If the calorie contents of robin eggs are normally distributed with a mean of 25 and a standard devia- tion of 1.2, then approximately 95% of all robin eggs should In have a calorie content in the interval ex (A) [21.4, 28.6]. (B) [22, 28]. (C) [22.6, 27.4]. (D) [23, 27]. (E) [23.8, 26.2].
8.2-2
What is the P(−2.5<t<2.5) with a sample size of 5.
What is the distribution of p when the sample is "large enough"? O A. P(1-P) -N P. O B. P(1-p) P. n-1 Oc. p(1-p) -N P, n-1 O D. ~Np, p(1-p) O E. p(1-p)

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