5.32 Admitting students to college. A selective colleewould like to have an entering class of 900 students.Because not all students who are offered admissionaccept, the college admits more than 900 students.Past experience shows that about 78% of the studentsadmitted will accept. The college decides to admit1150 students. Assuming that students make theirdecisions independently, the number who accept has theB(1150, 0.78) distribution. If this number is less than900, the college will admit students from its waiting list.aily5.(a) What are the mean and the standard deviation of thenumber X of students who accept?(b) The college does not want more than 900 students.Use the Normal approximation to find the probabilitythat more than 900 students accept.(c) If the college decides to decrease the number ofadmission offers to 1100, what is the probability thatmore than 900 will accept?(d) Based on your answers to parts (b) and (c), shouldthe college admit 1100 or 1150 students? Explain yourouanswer.

As per our guidelines, we are allowed to answer first three sub-parts . Thanks Let X be the number…

Answered: 5.32 Admitting students to college. A…

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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A veterinarian keeps track of the types of animals treated by an animal clinic. The following distribution represents the percentages of animals the clinic has historically encountered. Animal type Dogs Cats Livestock Birds Other Percent 61% 22% 8% 6% 3% If the animal clinic treats 230 animals in a month, how many of each animal type would be expected? Animal type Dogs Cats Livestock Birds Other Вxреcted 61 22 8. 9. 3) Animal type Dogs Cats Livestock Birds Other Еxpected 122 44 16 12 Animal type Dogs Cats Livestock Birds Other Еxpected 51 18 14 7. 140 Animal type Livestock Birds Other Dogs Cats Еxресted 46 46 46 46 46 Animal type Dogs Cats Livestock Birds Other Expected 140,3 50.6 18.4 13.8 6.9 E.
Ten countries were randomly selected from the list of 129 countries in theCountry. The countries are compared with respect to their gross nationalproduct per capita, an indicator of the average income level of each country.Researchers have found that people in countries with higher income levelstend to live longer than do people in countries with lower income levels.In addition, birth rates tend to be higher in countries with lower incomes,with birth rates declining as countries become better off economically. a. Use this data to determine the Spearman rank correlation of GNP with(i) life expectation, and (ii) the birth rate. b. Test to determine whether the correlation of ranks is statisticallysignificant at the 0.05 level of significance.
5
A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)
USE EXCEL to solve this problem. Thanks.
A tv report conducted a survey of 681 people in Washington state and found that 26% of the population believe that Mt Saint Helen's will have a repeat eruption this year. In the accompanying dialogue, the reporter states, we are 91% confident that the true proportion of people in Washington state who believe that Mt saint Helen's wil have a repeat eruption this year lies between 20% and 32%. What does 91% represent in the report?
Last school year, the student body of a local university consisted of 35% freshmen, 24% sophomores, 26% juniors, and 15% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification. Freshmen 90 Sophomores 60 Juniors 90 Seniors 60 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. The calculated value for the test statistic equals a. 0.5444 b. 2.789 c. 10.989 d. 15.231
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Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 400 students taken from this year's student body showed the following number of students in each classification. Freshmen 113 Sophomores 98 Juniors 115 Seniors 74 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. The calculated value for the test statistic equals Select one: a. .54. b. .65. c. 2.063. d. 2.664.
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