Partially correct133 33333 232230.000.01Standard Normal Distribution0.03 0.040.050.020.030.000.51990.50900.010.7088077240.9884 0.98870.9920 Standard Normal Distribution Table (page) 0.99360.050.41290.5239 0.52790:5050 0.56730.020.060.8260.070.080.6870.7224Standard Normal Distribution0.040.050.97670.060.070.47610.060,080.29810.2843 0.28100.2946 0.2912 0.28770.33360.3300 0.3264 0.3228 0.3192 0.31560.4000040520.4010 3072 0.393604483 04443 01100.4880 0.4840 0.48020.04 0.05820000.47860.43250.47210.4680.030.070.08 =6:52KSuppose a simple random sample of size n = 36 is obtained from a population with μ = 85 and o = 24.(a) Describe the sampling distribution of x.(b) What is P (x> 92.8) ?(c) What is P (x≤ 75.2)?(d) What is P (81.6

A. Sample mean= population mean= 85 B. Sample standard deviation= 4

Answered: K Suppose a simple random sample 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

See similar textbooks

Similar questions

a A2 The sample of size n=87 Is drawn From a population whose standard deviation 189 Find The margin of ERROV for a 90%. Confieuence Interat
A large chemistry course took their final exam. The mean was 75 with a standard deviation of 8. What are the exam scores that separate the top and bottom 5 percent of the class (extreme 10%) 2. What are the exams scores that separate the middle 10% of the class (5% on each side of the mean)? Use table below and draw normal distribution
Using an evenly distributed data population of 8,000 samples, how many Would fall between a Z-score of -0.5 and +0.5? (blank)
Suppose a simple random sample of size n= 81 is obtained from a population with u = 89 and o = 9. (a) Describe the sampling distribution of x. (b) What is P (x> 90.45) ? (c) What is P (xs86.9) ? (d) What is P (87.85 90.45) = (Round to four decimal places as needed.) (c) P (xs 86.9) = (Round to four decimal places as needed.) (d) P (87.85
When should a s distribution be used? When there are how many cases in a sample? When should a t distribution be used? When there are how many cases in a sample?
Sketch a drawing and use the standard normal distribution table to answer the following questions: (a) Find the area that lies between z= 0.92 and z= 2.73. That is, find P(0.92< z <2.73) (b) Find the area that lies to the right of z=−1.58. That is, find P(z >−1.58)(c) Find thez-score for which the area under the standard normal curve to its left is 0.8600. (d) Find the z-score that has an area of 0.07 to its right under the standard normal curve. That is, find z0.07.
For most distributions, we can use the normal distribution to make a confidence interval for a population mean provided that the population standard deviation o is known and the sample size is: O greater than 30. O less than 25. greater than 100. O greater than or equal to 30.
Scores on the verbal Graduate Record Exam (GRE) are normally distributed with a mean of 600 and a standard deviation of 120. Suppose a graduate school requires that students score at or above the 80th percentile. Approximately what score is required on this exam? b.Practice using the 68-95-99.7 Rule by completing the normal distribution belowwith horizontal scale and percentages in each interval. [Use the graph in (c) and (d).]
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.)
Compute for the mean (??̅) and standard deviation (??̅) of the sampling distribution of the sample means and compare these to the mean and standard deviation of the population.
Suppose a simple random sample of size n= 36 is obtained from a population with u = 88 and o = 6. (a) Describe the sampling distribution of x. (b) What is P (x> 89.75) ? (c) What is P (xs85.5) ? (d) What is P (87.25 < x< 90.5) ? Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). O A. The distribution is uniform. O B. The distribution is skewed left. 'C. The distribution is approximately normal. D. The distribution is skewed right. O E. The shape of the distribution is unknown. Find the mean and standard deviation of the sampling distribution of x. o; =
Jarþrúður, a geologist is working with the random variable Z that follows the standard normal distribution. What is the value of z if P (Z> z) = 0.0968?

SEE MORE QUESTIONS

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

K Suppose a simple random sample of size n = 36 is obtained from a population with μ = 85 and o = 24. (a) Describe the sampling distribution of x. (b) What is P (x> 92.8)? (c) What is P (x≤ 75.2)? (d) What is P (81.6