2. Scores on a mathematics exam given to ten-year-old children throughout Japan are Normally distributed with amean of 520 and a standard deviation of 50. Suppose that each classroom with 25 students can be considereda random sample of 25 students from the population taking the exam. One of these classes can be selected atrandom and X would be the average score of the 25 students in that classroom (the sample mean).a)a) What is the mean or expected value of X, H, equal to?b) The standard deviation of X,0,, is a measure of how much you'd expect X to vary from classroom toclassroom (assuming each classroom had 25 students randomly selected from the entire population), find Oz.b) c) What proportion of classrooms with 25 students would be expected to have a mean score, X, that is between520 and 555?c)d) What proportion of classrooms with 25 students would be expected to have a mean score, X, that is below500?d)e) Only the top 4% of classrooms with 25 students will have an average score which is above

The question is about central limit theorem Given : Popl. mean score ( μ ) = 520 Popl. std.…

Answered: 2. Scores on a mathematics exam given…

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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7) In a sample of 50 business trips taken by employees in the HR department, a company finds that the average amount spent for the trips was $1450 with a standard deviation of $450. In a sample of 90 trips taken by the employees in the sales department is $1650 with a standard deviation of $700. When testing the hypothesis that the average amount spent on trips taken by the sales department are higher than those taken by the HR department, if the test statistic is 2.05 and the critical value is 2.57 then what is your conclusion concerning the null hypothesis? select a) reject null hpyothesis or b) fail to reject null hypothesis
9. Women's heights are normally distributed with a mean of 63.8 in and standard deviation of 2.6 in. a) If one woman is randomly selected, find the probability that her height is less than 62.4 inches. b) If one woman is randomly selected, find the probability that her height is more than 64.5 inches. c) If one woman is randomly selected, find the probability that her height is between 61.0 inches and 68.0 inches. d) If 24 women are randomly selected, find the probability their mean height is less than 62.1 inches. e) Find P17.
9) A small value of the mean of a data set indicates that the values of that data set are spread over a relatively smaller range around the standard deviation. Select one: False True
3. An article by S. M. Berry titled “Drive for Show and Putt for Dough (Chance, Vol 12(4), pg 50-54)” discussed driving distances of PGA players. The mean distance for tee shots on the 1999 men’s PGA tour is 272.2 yards with a standard deviation of 8.12 yards. Assuming that the 1999 tee-shot distances are normally distributed, find the percentage of such tee shots that went a. between 260 and 280 yards. b. more than 300 yards. 4. Do Exercise 6.103 on page 288 in the textbook. Show work. (image attached) 5. Refer to question 3 in this homework. The article “Drive for Show and Putt for Dough (Chance, Vol 12(4), pg 50-54)” discussed driving distances of PGA players. The mean distance for tee shots on the 1999 men’s PGA tour is 272.2 yards with a standard deviation of 8.12 yards. Assuming that the 1999 tee-shot distances are normally distributed answer the following questions: a. Determine the quartiles of the driving distances b. Find the 95th percentile. c. Obtain the third decile (i.e.…
3. IQ scores are distributed approximately normally in the human population, with a mean of 100 and a standard deviation of 15. a) To belong to MENSA requires an IQ of 130. What percentage of the population are eligible to join? b) What is the probability the Kwantlen University College Underwater Singing Club, with 10 members, has a mean IQ of between 85 and 90?
5. A random sample of 50 medical school applicants at a university has a mean raw score of 31 on the multiple choice portions of the Medical College Admission Test (MCAT). A student claims that mean raw score for the for the school's applicants is more than 30. Assume the population standard deviation is 2.5. At a = 0.01, is there enough evidence to support the student's claim?
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.
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.
3. A consumer electronics company is comparing the brightness of two different types of picture tubes for use in its television sets. Tube type A has mean brightness of 100 and standard deviation of 16, and tube type B has unknown mean brightness, but the standard deviation is assumed to be identical to that for type A. A random sample of n = 25 tubes of each type is selected, and X-X is computed. If equals or HB exceeds, the manufacturer would like to adopt type B for use. The observed difference is -₁ =3.0. What is the probability that by 3.0 or more if HB and HA are equal? exceeds
9. Measurements of the diameters of a random sample of 13 ball bearings made by machine X during one week showed a mean of 8.22 mm and a standard deviation of 0.38 mm. However, other measurements of the diameters of a random sample of 11 ball bearings made by machine Y during the same week showed a mean of 7.68 mm and a standard deviation of 0.42 mm. Assuming the diameters are normally distributed with equal variance, a) Construct a 99% confidence interval for the difference in the true mean diameters of ball bearings made by the two machines. b) Based on your answer in part (a), are you 99% confident that the true mean diameters of ball bearings made by machines X and Y are not equal? Justify your answer.

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