4) A college admissions officer takes a simple random sample of 100 entering freshmenand computes their mean mathematics SAT score to be 466. Assume the populationstandard deviation is o = 90.Construct a 98% confidence interval for the mean mathematics SAT score for theentering freshmen class.A) (441, 491)B) (376, 556)C) (445, 487)D) (464, 468)

Answered: Image /qna-images/answer/886baf1c-653d-499d-a2df-f6b6141a060a.jpg

4) A college admissions officer takes a simple random sample of 100 entering freshmen and computes their mean mathematics SAT score to be 466. Assume the population 90. standard deviation is o = Construct a 98% confidence interval for the mean mathematics SAT score for the entering freshmen class. A) (441, 491) B) (376, 556) C) (445, 487) D) (464, 468)

4) A college admissions officer takes a simple random sample of 100 entering freshmen and computes their mean mathematics SAT score to be 466. Assume the population 90. standard deviation is o = Construct a 98% confidence interval for the mean mathematics SAT score for the entering freshmen class. A) (441, 491) B) (376, 556) C) (445, 487) D) (464, 468)

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 random sample of five observations from three normally distributed populations produced the following data: (You may find it useful to reference the F table.) (table is the screenshot picture) a. Calculate the grand mean. (Round intermediate calculations to at least 4 decimal places and final answer to 4 decimal places.) b. Calculate SSTR and MSTR. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) c. Calculate SSE and MSE. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) d. Specify the competing hypotheses in order to determine whether some differences exist between the population means. _H0: μA = μB = μC; HA: Not all population means are equal. _H0: μA ≤ μB ≤ μC; HA: Not all population means are equal. _H0: μA ≥ μB ≥ μC; HA: Not all population means are equal. e-1. Calculate the value of the F(df1, df2) test statistic. (Round intermediate calculations to at least 4 decimal…
4. A fire extinguisher salesman would like to estimate the mean number of home fires started by candles each year. He obtained fire data for seven randomly selected years from the National Fire Protection Agency. His sample produced a mean of 7041 fires with a standard deviation of 1600. Create the 90% confidence interval of interest.
3. A researcher has collected the blood samples of 29 individuals and found that the mean hemoglobin concentration for the sample of individuals is 13.9 grams per deciliter and the standard deviation is 1.43 grams per deciliter. Calculate a 95% confidence interval for the mean hemoglobin concentration for the population.A) (13.36, 14.44)B) (13.38, 14.42)C) (10.98, 16.82)D) (11.10, 16.70)
Lim works at a software company. He believe that the average staff age at these companies is more than 27. A random sample is collected: 41 18 25 36 26 35 24 30 28 19 22 22 26 23 24 31 22 22 23 26 27 26 29 28 23 19 18 18 24 24 24 25 24 23 20 21 21 21 21 32 23 21 20 a) Find mean, variance and standard deviation for the above sample. b) Find the confidence interval of the mean age of the staffs with 97% of confidence level.
4) a. A group of doctors on a particular hospital identified that they attend an average of (15 + 18) patients per hour. Assume the standard deviation is 4. 18 random sample of 36 hours was chosen. Find the 95% confidence interval. b. Find the 90% confidence interval for the variance if a study of (9 + 18) students found the 6.5 years as standard deviation of their ages. Assume the variable is normally distributed.
The U.S. Department of Transportation reported recently that all commuters in the New York City area average 120 minutes on the road travelling to and from work each workday. Assume that the standard deviation for the amount of time all commuters in the New York City area travel to and from work each workday equals 30 minutes. a) If a random sample of 36 commuters in the New York City area is selected, calculate the associated standard error of the mean.. b) What is the probability that mean travel time for the commuters in the sample is between 113.5 and 122.5 minutes?
6. Suppose that 100 females at a gym are randomly selected and asked their weights, in pounds. The mean is 137, the median is 125, and the standard deviation is approximately 23. What can you conclude? Read carefully and select one of the following: a) On average, each female's weight in the sample is approximately 23 pounds different from the mean. b) On average, each female's weight in the sample is approximately 23 pounds different from the median. c) On average, each female's weight in the sample is approximately 23% different from the mean. d) On average, each female’s weight in the sample is approximately 23% different from the median.
4.) The USEP Admission Scholarship Examination scores of a sample of 9 students who joined the university during the second semester of SY 2021-2022 were found to be 67, 92, 90, 79, 69, 62, 59, 69, and 95. Compute the standard deviation.
6. In Roosevelt National Forest, the rangers took random samples of live a) aspen trees and measured the base circumference of each tree. A sample of 36 trees had a mean circumference of 15.71 inches and a population standard deviation of 4.63 inches. Find a 98% confidence interval for the mean circumference of all aspen trees in Roosevelt National Forest from this data. b) 16.475) inches. What confidence level was used to produce this interval? Suppose a confidence interval constructed from this data was (14.945,
Announcements for 83 upcoming engineering conferences were randomly picked from a stack of IEEE Spectrum magazines. The mean length of the conferences was 3.96 days, with a standard deviation of 1.24 days. Assume the underlying population is normal. 1)In words define the random variables x and x̅ X is the mean length from a sample of 83 engineering conferences and x̅ is the length of an engineering conference. X is the length of an engineering conference and x̅ is the mean length from a sample of 83 engineering conferences. X is the number of engineering conferences and x̅ is the mean number of engineering conferences listed in IEEE spectrum magazine. X is the mean number of engineering conferences listed in IEEE spectrum magazine and x̅ is the number of engineering conferences. 2)Which distribution should you use for this problem? Explain your choice. The student’s t-distribution should be used because the sample mean is smaller than 30. The student’s t-distribution…
3. A local hospital doctor's team reports that the average cost of treatment of heart disease is 800 RO. To see if the average cost of treatment is different at a particular hospital, a researcher selected a random sample of 40 patients and found that the average cost of treatment is 400 RO. The standard deviation of the population is 350 RO. At test the claim of the hospital doctors.
The lengths of pregnancies in a small rural village are normally distributed with a mean of 269 days and a standard deviation of 16 days. a) In what range would you expect to find the middle 68% of most pregnancies? Between and b) If you were to draw samples of size 38 from this population, in what range would you expect to find the middle 68% of most averages for the lengths of pregnancies in the sample? Between and Enter your answers as numbers. Your answers should be accurate to one decimal places. Submit Question ロI & #3 2$ 6 7 8. 2 3 4 y e d f h づ