In Gallup's Annual Consumption Habits Poll, telephone interviews were conducted for a random sampleof 1014 adults aged 18 and over. One of the questions was, "How many cups of coffee, if any, do youdrink on an average day?" The following table shows the results obtained (Gallup website, August 6,2012).C.Number ofCups per Dayf.722 TO134Number ofReponses36526419391101}Define a random variable x = number of cups of coffee consumed on an average day.a. Develop a probability distribution for x.b.A person is randomly selected. What is the probability that the person consumes less than 3cups of coffee per day?A person is randomly selected. What is the probability that the person consumes more than 2cups of coffee per day?d. Develop a cumulative probability distribution for x.e.Compute the expected value of x. Show your work with a table similar to the one on page 62 ofthe course packet or page 230 of the textbook. You can enter the numbers in Excel and useExcel to construct a table.SCompute the variance and the standard deviation of x. Show your work with a table. Youranswer in parts e and f can be in one table.

Given that Number of Cups per Day Number of Responses 0 365 1 264 2 193 3 91 4 101…

Answered: Define a random variable x = number 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

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too young to get Based on a poll , among adults who regret getting tattoos , 30 % say that they were too young when they got their tattoos. Assume that five adults who regret getting tattoos are randomly selasted, and find the indicated probability . a. Find the probability that none of the selected adults say that they were too young to get tattoos . Type your answer here: Next by
A pair of fair dice is rolled. Let X the random variable representing the sum of numbers that appear.
A commuter must pass through 5 traffic lights on her way to work each day, and will have to stop at each one that is red. She estimates the probability model for the number of red lights she hits and is shown below. # of red lights Probability 0 0.05 1 0.25 2 0.35 3 0.15 4 0.15 5 0.05 What is the probability that the commuter will stop for at most 3 lights? Express your answer in decimal form as shown in the table.
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A local bakary has determined a probability distribution for the number of cheesecakes that they sell in a given day. X= #sold 10 15 20 Probability 0.28 0.36 0.03...? 0.07 What is the probability of selling 15 cheesecakes in a given day? What is the probability of selling at least 10 cheesecakes? What is the probability of selling 5 or 15 chassescakes? What is the peobaility of selling 25 cheesecakes? Give the expected number of cheesecakes sold in a day using the discrete probability distribution? What is the probability of selling at most 10 cheesecakes?
Determine whether the value is a discrete random variable, continuous random variable, or not a random variable. a. The time required to download a file from the Internet b. The height of a randomly selected giraffe c. The eye color of people on commercial aircraft flights d. The number of free-throw attempts before the first shot is made e. The amount of rain in City B during April f. The number of hits to a website in a day a. Is the time required to download a file from the Internet a discrete random variable, a continuous random variable, or not a random variable? A. It is a discrete random variable. B. It is a continuous random variable. C. It is not a random variable. b. Is the height of a randomly selected giraffe a discrete random variable, a continuous random variable, or not a random variable? A. It is a discrete random variable. B. It is a continuous random variable. C. It is not a random variable c. Is the eye color of people on commercial aircraft flights a discrete random…
n 2010 about 69.6% of full-time law enforcement workers were sworn officers, and of those, 88.2% were male. Females, however, made up 60.8% of the civilian employees. Choose one law enforcement worker at random and calculate the following. The probability that the person is a female sworn officer. The probability that the person is a male civilian employee. The probability that he or she is male or a civilian employee.
The accompanying table describes results from groups of 8 births from 8 different sets of parents. The random variable x represents the number of girls among 8 children. Complete parts (a) through (d) below. E Click the icon to view the table. a. Find the probability of getting exactly 6 girls in 8 births. (Type an integer or a decimal. Do not round.) b. Find the probability of getting 6 or more girls in 8 births. (Type an integer or a decimal. Do not round.) c. Which probability is relevant for determining whether 6 is a significantly high number of girls in 8 births: the result from part (a) or part (b)? O A. The result from part b, since it is the probability of the given or more extreme result. O B. The result from part a, since it less than the probability of the given or more extreme result. O C. The result from part b, since it is the complement of the result of part a. O D. The result from part a, since it is the exact probability being asked. d. Is 6 a significantly high…
The number of calls coming in to order roses from a flower shop averages 3 per minute a. Define random variable in this situation and list it’s values b. Stating its parameter(s) what is the probability distribution of this variable? c. Compute the probability that 5 calls will arrive per minute. d. Compute the probability that 3 or more calls will arrive in 3- minute interval?
Classify the random variable X as discrete or continuous. Explain your reasoning. X represents the number of Blu-ray TM discs you own. A. Discrete; the number of discs is countable. B. Continuous; the number of discs could be any number greater than or equal to 0. C. Continuous; the number of discs is countable. D. Discrete; the number of discs could be any number greater than or equal to 0.
Q2: a survey is performed to investigate the relationship between smoking and coffee drinking. The distribution of the sample is presented in the following table Coffee No Coffee Total 40 Smoker Non-Smoker Total 60 115 85 What is the probability that a randomly selected person from the sample is a non-smoker? b. What is the probability that a randomly selected person from the sample is a non-smokes and a. drinks coffee? C. What is the probability that a randomly selected person from the sample either smokes or drinks coffee? d. What is the probability that a randomly selected person from the sample is smokes given that he drinks coffee? e. Are the two events "smoke" and "drinks coffee" independent? Why?

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