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Example 6.27 described a study in which a person was asked to determine which of three t-shirts had been worn by her roommate by smelling the shirts. Suppose that instead of three shirts, each participant was asked to choose among five shirts and that the process was performed 5 times. If a person can't identify her roommate by smell and is just picking a shirt at random, then x number of correct identifications is a binomial random variable with n= 5 and p LAUSE SALT (a) What are the possible values of x? (Enter your answers as a comma-separated list.) (b) For each possible value of x, find the associated probability p(x) and display the possible x values and p(x) values in a table. (Hint: See Example 6.27. Use a table or SALT. The values of x should be entered from least to greatest. Round your probabilities to three decimal places.) X p(x) (c) Construct a histogram displaying the probability distribution of x. 0.5 O 0.4 0.3 0.2 0.1 0.0 0 1 2 3 45 os 0.4 0.3 0.25 0.1 0.0 0 1 2 3 4 X 5 @O 8 0.5 0.4 0.3 0.2 0.1 0.0 0 1 2 3 X 4 @O 0.5 0.4 0.3 0.2 0.1 0.0 012 X 5 @

Example 6.27 described a study in which a person was asked to determine which of three t-shirts had been worn by her roommate by smelling the shirts. Suppose that instead of three shirts, each participant was asked to choose among five shirts and that the process was performed 5 times. If a person can't identify her roommate by smell and is just picking a shirt at random, then x number of correct identifications is a binomial random variable with n= 5 and p LAUSE SALT (a) What are the possible values of x? (Enter your answers as a comma-separated list.) (b) For each possible value of x, find the associated probability p(x) and display the possible x values and p(x) values in a table. (Hint: See Example 6.27. Use a table or SALT. The values of x should be entered from least to greatest. Round your probabilities to three decimal places.) X p(x) (c) Construct a histogram displaying the probability distribution of x. 0.5 O 0.4 0.3 0.2 0.1 0.0 0 1 2 3 45 os 0.4 0.3 0.25 0.1 0.0 0 1 2 3 4 X 5 @O 8 0.5 0.4 0.3 0.2 0.1 0.0 0 1 2 3 X 4 @O 0.5 0.4 0.3 0.2 0.1 0.0 012 X 5 @

MATLAB: An Introduction with Applications
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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Example 6.27 described a study in which a person was asked to determine which of three t-shirts had been worn by her roommate by smelling the shirts.+ Suppose that instead of three shirts, each participant was asked to choose among five shirts and that the process was performed 5 times. If a person can't identify 1 her roommate by smell and is just picking a shirt at random, then x = number of correct identifications is a binomial random variable with n = 5 and p 5 (a) What are the possible values of x? (Enter your answers as a comma-separated list.) (b) For each possible value of x, find the associated probability p(x) and display the possible x values and p(x) values in a table. (Hint: See Example 6.27. Use a table or SALT. The values of x should be entered from least to greatest. Round your probabilities to three decimal places.) X p(x) (c) Construct a histogram displaying the probability distribution of x. (x)d 0.5 0.4 0.3 USE SALT 0.2 0.1 0.0 0 1 2 X 3 4 5 (x)d 0.5 0.4 0.3 0.2 0.1 0.0 0 1 2 3 4 5 X (x)d 0.5 0.4 0.3 0.2 0.1 0.0 0 1 2 3 4 5 X (x)d 0.5 0.4 0.3 0.2 0.1 0.0 0 1 2 X 3 4 5
Transcribed Image Text:Example 6.27 described a study in which a person was asked to determine which of three t-shirts had been worn by her roommate by smelling the shirts.+ Suppose that instead of three shirts, each participant was asked to choose among five shirts and that the process was performed 5 times. If a person can't identify 1 her roommate by smell and is just picking a shirt at random, then x = number of correct identifications is a binomial random variable with n = 5 and p 5 (a) What are the possible values of x? (Enter your answers as a comma-separated list.) (b) For each possible value of x, find the associated probability p(x) and display the possible x values and p(x) values in a table. (Hint: See Example 6.27. Use a table or SALT. The values of x should be entered from least to greatest. Round your probabilities to three decimal places.) X p(x) (c) Construct a histogram displaying the probability distribution of x. (x)d 0.5 0.4 0.3 USE SALT 0.2 0.1 0.0 0 1 2 X 3 4 5 (x)d 0.5 0.4 0.3 0.2 0.1 0.0 0 1 2 3 4 5 X (x)d 0.5 0.4 0.3 0.2 0.1 0.0 0 1 2 3 4 5 X (x)d 0.5 0.4 0.3 0.2 0.1 0.0 0 1 2 X 3 4 5
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