Suppose that in a senior college class of 500 students, it is found that 200 smoke, 233 drink alcoholic beverages, 194 eat between meals, 103 smoke and drinkalcoholic beverages, 66 eat between meals and drink alcoholic beverages, 83 smoke and eat between meals, and 35 engage in all three of these bad healthpractices. If a member of this senior class is selected at random, find the probability that the student (a) smokes but does not drink alcoholic beverages; (b) eatsbetween meals and drinks alcoholic beverages but does not smoke; (c) neither smokes nor eats between meals.(a) P(smokes but does not drink alcoholic beverages) =(Type an integer or a decimal. Do not round.)(b) P(eats between meals and drinks alcoholic beverages but does not smoke) =(Type an integer or a decimal. Do not round.)(c) P(neither smokes nor eats between meals) =(Type an integer or a decimal. Do not round.)

Probability measure the event happening chances. Event is the all possible outcome of the…

Answered: Suppose that in a senior college class…

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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5. A manufacturer of cell phones purchases batteries from a vendor. It is not uncommon to receive defective batteries from this vendor, thus whenever a shipment is received, a sample of batteries is inspected. For this month's shipment, a random sample of 280 batteries is selected and each battery is inspected. If the proportion of defective batteries sampled is more than 1.5%, the entire shipment will be returned to the vendor. What is the probability that this month's shipment will be returned if the true proportion of defective batteries is 4%?
An Insurance company study shows that 70% of the auto insurance claims submitted for property damage were submitted by males user 25 years of age. Suppose 6 property damage claims involving automobiles are selected at random. Let X be the number of claims (among 6 the selected) that are made by males under age 25. Question 1 Find the probability that all 6 claims are made by males under age 25.
One student is selected at random from a group of 200 known to consist of 140 full-time (80 female and 60 male) student and 60 part-time (40 female and 20 male) students. Event A is "the student selected is full-time" and event C is "the student selected is female". (a) Are events A and C independent? (b) Find the probability of one student selected is full-time, that should be female.
Suppose it is known that 5% of men age 50 and older I have prostate cancer. And a random sample of 25 men age 50 and older what is the probability that exactly to have prostate cancer?
Suppose that 55% of all adults regularly consume coffee, 45% regularly consume carbonated soda, and 70% regularly consume at least one of these two products. a. What is the probability that a randomly selected adult regularly consumes both coffee and soda? b. What is the probability that a randomly selected adult doesn’t regularly consume at least one of these two products?
Suppose you have just received a shipment of 30 modems. Although you don't know this, 8 of the modems are defective. To determine whether you will accept the shipment, you randomly select 9 modems and test them. If all 9 modems work, you accept the shipment. Otherwise, the shipment is rejected. What is the probability of accepting the shipment? The probability of accepting the shipment is...
Suppose there is a 11.9% probability that a randomly selected person aged 35 years or older is a jogger. In addition, there is a 15.9% probability that a randomly selected person aged 35 years or older is female, given that he or she jogs. What is the probability that a randomly selected person aged 35 years or older is female and jogs? Would it be unusual to randomly select a person aged 35 years or older who is female and jogs? The probability that a randomly selected person aged 35 years or older is female and jogs is (Round to three decimal places as needed.).
3. A study conducted at a large hospital found that 27.8 percent of all patients admitted to the hospital's ICU remained in the ICU for less than 24 hours. (A) If 8 patients are selected at random from the ICU patients at the hospital, what is the probability that 2 or fewer of them remained in the ICU for less than 24 hours? (B) Suppose that 20 patients are selected at random from the ICU patients at the hospital. Calculate the mean and standard deviation of the number of these patients who remained in the ICU for less than 24 hours. (C) Another result of the study was that for elective (non-emergency) admissions to the hospital's ICU, the length of the stay in the ICU had a mean of 18.9 hours and a standard deviation of 3.9 hours. Assuming that the length of stay in the ICU for elective admissions is normally distributed, what proportion of elective admissions remained in the ICU for less than 24 hours?

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