Question 1. Continuous Probability Distributions [.1Let X denote the length of a randomly selected phone call (in minutes). The probability densityfunction of X is f(x),xe R.(d) Find the expected value (mean) of X.(e) Find the standard deviation of X.(f) Derive the cumulative distribution function of X, F(x).Probability density function f(x) andrange Rx6ƒ(x) = x(x − 3), R¸:0≤x≤5Variance (²)289

The cumulative distribution function or simply distribution function of a random variable X is…

Answered: Question 1. Continuous Probability…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter13: Probability And Calculus

Section13.2: Expected Value And Variance Of Continuous Random Variables

Problem 1YT: YOUR TURN 1 Repeat Example 1 for the probability density function f(t)=83x3 on [1,2]. EXAMPLE 1...

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Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.
YOUR TURN 1 Repeat Example 1 for the probability density function f(t)=83x3 on [1,2]. EXAMPLE 1 Expected Value and Variance Find the expected value and variance of the random variable x with probability density function defined by f(x)=(3/26)x2on[1,3].
YOUR TURN Repeat Example 2 for a flashlight battery with a useful life given by the probability density function f(t)=125et/25fort0. EXAMPLE 2 Flashlight Battery Suppose the useful life in hours of a flashlight battery is the random variable T, with probability density function given by the exponential distribution f(t)=120et/20fort0. a Find the probability that a particular battery, selected at random, has a useful life of less than 100 hours. b Find the expected value and standard deviation of the distribution. c What is the probability that a battery will last longer than 40 hours?

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