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4.135 Suppose xhas an exponential distribution with θ=1. Find

the following probabilities:

a.P(x>1)b.P(x3)cP(x>1.5)d.P(x5)

Short Answer

Expert verified
  1. .The probability is 0.3679
  2. The probability is 0.9502
  3. The probability is 0.2231
  4. The probability is 0.9933

Step by step solution

01

Given Information

The random variable x has an exponential distribution withθ=1

02

The probability density function (PDF) of x

Here x is a random variable with parametersθ=1

The pdf of x is given by,

f(x,θ)=1θexp-xθ,x>0

Here, θ=1

f(x)=exp(-x);x>0

03

Finding cdf of x

F(x)=P(Xx)=0xf(t)dt=0xexp(-t)dt=exp(-t)-10x=-exp(-x)+1=1-exp(-x)F(x)=1-exp(-x)

04

Finding the probability when P(x > 1)

a.P(x>1)=1-P(x1)=1-F(1)=1-1-exp(-1)=exp(-1)=0.37879=0.3679

Thus, the required probability is 0.3679.

05

Finding the probability when P(x≤3)

b.P(x3)=F(3)=1-exp(-3)=1-0.049787=0.950213=0.9502

Thus, the required probability is 0.9502.

06

Finding the probability when P(x>1.5)

c.P(x>1.5)=1-P(x1.5)=1-F(1.5)=1-1-exp(-1.5)=exp(-1.5)=0.22313=0.2231

The required probability is 0.2231.

07

Finding the probability when P(x≤5)

d.P(x5)=F(5)=1-exp(-5)=1-0.006738=0.993262=0.9933

The required probability is0.9933.

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Most popular questions from this chapter

Question: Independent random samples from approximately normal populations produced the results shown below.

Sample 1

Sample 2

52 33 42 4441 50 44 5145 38 37 4044 50 43

52 43 47 5662 53 61 5056 52 53 6050 48 60 55

a. Do the data provide sufficient evidence to conclude that (μ1-μ2)>10? Test usingα=0.1.

b. Construct a confidence interval for (μ1-μ2). Interpret your result.

A random sample of size n = 121 yielded p^ = .88.

a. Is the sample size large enough to use the methods of this section to construct a confidence interval for p? Explain.

b. Construct a 90% confidence interval for p.

c. What assumption is necessary to ensure the validity of this confidence interval?

Question: Forecasting daily admission of a water park. To determine whether extra personnel are needed for the day, the owners of a water adventure park would like to find a model that would allow them to predict the day’s attendance each morning before opening based on the day of the week and weather conditions. The model is of the form

where,

y = Daily admission

x1 = 1 if weekend

0 otherwise

X2 = 1 if sunny

0 if overcast

X3 = predicted daily high temperature (°F)

These data were recorded for a random sample of 30 days, and a regression model was fitted to the data.

The least squares analysis produced the following results:

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Given that xis a hypergeometric random variable, computep(x)for each of the following cases:

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a. What confidence coefficient was used to generate the confidence intervals?

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