Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

4.134 Refer to Exercise 4.133. Find the following probabilities:

a.P(20x30)b.P(20<x30)c.P(x30)d.P(x45)e.(x40)f.(x<40)g.P(15x35)h.P(21.5x31.5)

Short Answer

Expert verified
  1. .The probability is 0.40
  2. The probability is -0.40
  3. The probability is 0.60
  4. The probability is 0.60
  5. The probability is 0.80
  6. The probability is 0.80
  7. The probability is 0.60
  8. The probability is 0.40

Step by step solution

01

Given Information

Referring to exercise 4.133, we can say that here x is a uniform random variable with parameters c=20 and d=45

02

Finding the pdf of x

The probability density function (PDF) random variable x is given by

f(x)=1d-c;c<x<d

Here c=20 and d=45

So, the pdf of x is:

f(x)=145-20=125=0.04f(x)=0.04;02<x<45

03

Finding the cdf of x

F(x)=P(Xx)=20xf(t)dt=20x0.04dt=0.0420xdt=0.04t20x=0.04(x-20)F(x)=0.04x(x-20)

04

Finding the probability when P(20≤x≤30)

a.

For continuous random variable x

P(X<x)=P(Xx)P(20x30)=P(x<20)=F(30)-F(20)=0.04×(30-20)-0.04×(20-20)=0.40

Thus, the required probability is 0.40.

05

Finding the probability when P(20<x≤30)

b.P(20<x30)=P(x20)-P(x30)=F(20)-F(30)=0.04×(20-20)-0.04×(30-20)=-0.04

Thus, the required probability is -0.40.

06

Finding the probability when P(x≥30)

c.

P(x30)=1-P(x<30)=1-F(30-)=1-0.04×(30-20)=1-0.40=0.60

Thus, the required probability is 0.60.

07

Finding the probability when P(x≥45)

d.P(x45)=1-P(x<45)=1-F(45)=1-0.04×(45-20)=1-1=0

Thus, the required probability is 0.

08

Finding the probability when P(x≤40)

e.P(x40)=F(40)=0.04×(40-20)=0.80

Thus, the required probability is 0.80.

09

Finding the probability when P(x<40).

f.P(x<40)=F(40)=0.04×(40-20)=0.80

Thus, the required probability is 0.80.

10

Finding the probability when P(15≤x≤35)P(15≤x≤35)

g.P(15x35)=P(20x35)[Since,x>20]=P(x35)-P(x<20)=F(35)-F(20)=0.04×(35-20)-0.04×(20-20)=0.60-0=0.60

Thus, the required probability is 0.60.

11

Finding the probability when P(21.5≤x≤31.5)

h.P(21.5x31.5)=P(x31.5)-P(x<21.5)=F(31.5)-F(21.5)=0.04×(31.5-20)-0.04×(21.5-20)=0.46-0.06=0.40=0.60

Thus, the required probability is 0.40.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Question: Refer to the Bulletin of Marine Science (April 2010) study of lobster trap placement, Exercise 6.29 (p. 348). Recall that the variable of interest was the average distance separating traps—called trap-spacing—deployed by teams of fishermen. The trap-spacing measurements (in meters) for a sample of seven teams from the Bahia Tortugas (BT) fishing cooperative are repeated in the table. In addition, trap-spacing measurements for eight teams from the Punta Abreojos (PA) fishing cooperative are listed. For this problem, we are interested in comparing the mean trap-spacing measurements of the two fishing cooperatives.

BT Cooperative

93

99

105

94

82

70

86

PA Cooperative

118

94

106

72

90

66

98


Source: Based on G. G. Chester, “Explaining Catch Variation Among Baja California Lobster Fishers Through Spatial Analysis of Trap-Placement Decisions,” Bulletin of Marine Science, Vol. 86, No. 2, April 2010 (Table 1).

a. Identify the target parameter for this study.b. Compute a point estimate of the target parameter.c. What is the problem with using the normal (z) statistic to find a confidence interval for the target parameter?d. Find aconfidence interval for the target parameter.e. Use the interval, part d, to make a statement about the difference in mean trap-spacing measurements of the two fishing cooperatives.f. What conditions must be satisfied for the inference, part e, to be valid?

Question: A company sent its employees to attend two different English courses. The company is interested in knowing if there is any difference between the two courses attended by its employees. When the employees returned from the courses, the company asked them to take a common test. The summary statistics of the test results of each of the two English courses are recorded in the following table:

a. Identify the parameter(s) that would help the company determine the difference between the two courses.

b. State the appropriate null and alternative hypotheses that the company would like to test.

c. After conducting the hypothesis test at thesignificance level, the company found the p-value. Interpret this result for the company.

Buy-side vs. sell-side analysts' earnings forecasts. Refer to the Financial Analysts Journal (Jul. /Aug. 2008) study of financial analysts' forecast earnings, Exercise 2.86 (p. 112). Recall that data were collected from 3,526 buy-side analysts and 58,562forecasts made by sell-side analysts, and the relative absolute forecast error was determined for each. The mean and standard deviation of forecast errors for both types of analysts are given in the table.

a. Construct a 95% confidence interval for the difference between the mean forecast error of buy-side analysts and the mean forecast error of sell-side analysts.

b. Based on the interval, part a, which type of analysis has the greater mean forecast error? Explain.

c. What assumptions about the underlying populations of forecast errors (if any) are necessary for the validity of the inference, part b?

Solar energy generation along highways. Refer to the International Journal of Energy and Environmental Engineering (December 2013) study of solar energy generation along highways, Exercise 8.39 (p. 481). Recall that the researchers compared the mean monthly amount of solar energy generated by east-west– and north-south– oriented solar panels using a matched-pairs experiment. However, a small sample of only five months was used for the analysis. How many more months would need to be selected to estimate the difference in means to within 25 kilowatt-hours with a 90% confidence interval? Use the information provided in the SOLAR file to find an estimate of the standard error required to carry out the calculation

Assume that σ12222. Calculate the pooled estimator σ2 for each of the following cases:

a.s12=120,s22=100,n1=n2=25

b.s12=12,s22=20,n1=20,n2=10

c.s12=.15,s22=.20,n1=6,n2=10

d.s12=3000,s22=2500,n1=16,n2=17

Note that the pooled estimate is a weighted average of the sample variances. To which of the variances does the pooled estimate fall nearer in each of the above cases?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free