![ELEMENTARY STATISTICS W/CONNECT >IP<](https://www.bartleby.com/isbn_cover_images/9781259746826/9781259746826_largeCoverImage.gif)
a.
To obtain: Theprobability that the adoption was from Ethiopia given that it was from 2010.
a.
![Check Mark](/static/check-mark.png)
Answer to Problem 34E
The probabilitythat the adoption was from Ethiopia given that it was from 2010 is 0.359.
Explanation of Solution
Given info:
The data shows that the numbers offoreign adoptions from the United States.
Calculation:
The total number of adoptions is shown in the Table (1).
2006 | 2010 | Total | |
China | 6,493 | 3,401 | 9,894 |
Ethiopia | 732 | 2,513 | 3,245 |
Russia | 3,706 | 1,082 | 4,788 |
Total | 10,931 | 6,996 | 17,927 |
Table (1)
Let
The formula for
Substitute ‘6,996’ for ‘Number of outcomes in A’ and 17,927 for ‘Total number of outcomes in the
The formula for probability of event A and B is,
Substitute ‘2,513’for ‘Number of outcomes in A and B’ and 17,927 for ‘Total number of outcomes in the sample space’,
Conditional rule:
The formula for probability of A given B is,
Substitute 0.14 for ‘
The required probability is,
Thus, the probability that the adoption was from Ethiopia given that it was from 2010 is 0.359.
b.
To obtain: The probability that the adoptionwas from Russia and in 2006.
b.
![Check Mark](/static/check-mark.png)
Answer to Problem 34E
The probability that the adoptionwas from Russia and in 2006is 0.074.
Explanation of Solution
Let event C denote that the adoption was from Russia and event D denote that adoption was in 2006.
The formula for probability of event C and D is,
Substitute 3,706 for ‘Number of outcomes in C and D’ and 17,927 for ‘Total number of outcomes in the sample space’,
Thus, the probability that the adoptionwas from Russiaand in 2006 is 0.207.
c.
To obtain: The probability that the adoptiondid not occur in 2006 and was not from Ethiopia.
c.
![Check Mark](/static/check-mark.png)
Answer to Problem 34E
The probability that the adoption did not occur in 2006 and was not from Ethiopiais 0.25.
Explanation of Solution
Let event E denote that theadoptionwas from Ethiopiaand event D denote thatadoptionwas from 2006.
The formula for probability of event
Substitute ‘4,483
Thus, the probability that the adoptionwas did not occur in 2006 and was not from Ethiopiais 0.25.
d.
To obtain: The probabilitythatboth the adoptionsare from china.
d.
![Check Mark](/static/check-mark.png)
Answer to Problem 34E
The probabilitythat both the adoptionsare from china is
Explanation of Solution
Given info:
There are 2 adoptionschosen at random.
Calculation:
Multiplicationrule:
If the A and B are independent, then
Let event F denote that theadoptionwas from china.
The formula for probability of event F is,
Substitute 9,894 for ‘Number of outcomes in F’ and 17,927 for ‘Total number of outcomes in the sample space’,
Hence, the probabilitythat theadoptionwas from chinais 0.552.
Each adoption is independent of the other.
By applying multiplication rule, the required probability is,
Therefore, the probabilitythat both the adoptionsare from china is 0.305.
Interpretation:
There is a 0.305 probabilitythat both the adoptionsare from china.
Want to see more full solutions like this?
Chapter 4 Solutions
ELEMENTARY STATISTICS W/CONNECT >IP<
- how could the bar graph have been organized differently to make it easier to compare opinion changes within political partiesarrow_forwardDraw a picture of a normal distribution with mean 70 and standard deviation 5.arrow_forwardWhat do you guess are the standard deviations of the two distributions in the previous example problem?arrow_forward
- Please answer the questionsarrow_forward30. An individual who has automobile insurance from a certain company is randomly selected. Let Y be the num- ber of moving violations for which the individual was cited during the last 3 years. The pmf of Y isy | 1 2 4 8 16p(y) | .05 .10 .35 .40 .10 a.Compute E(Y).b. Suppose an individual with Y violations incurs a surcharge of $100Y^2. Calculate the expected amount of the surcharge.arrow_forward24. An insurance company offers its policyholders a num- ber of different premium payment options. For a ran- domly selected policyholder, let X = the number of months between successive payments. The cdf of X is as follows: F(x)=0.00 : x < 10.30 : 1≤x<30.40 : 3≤ x < 40.45 : 4≤ x <60.60 : 6≤ x < 121.00 : 12≤ x a. What is the pmf of X?b. Using just the cdf, compute P(3≤ X ≤6) and P(4≤ X).arrow_forward
- 59. At a certain gas station, 40% of the customers use regular gas (A1), 35% use plus gas (A2), and 25% use premium (A3). Of those customers using regular gas, only 30% fill their tanks (event B). Of those customers using plus, 60% fill their tanks, whereas of those using premium, 50% fill their tanks.a. What is the probability that the next customer will request plus gas and fill the tank (A2 B)?b. What is the probability that the next customer fills the tank?c. If the next customer fills the tank, what is the probability that regular gas is requested? Plus? Premium?arrow_forward38. Possible values of X, the number of components in a system submitted for repair that must be replaced, are 1, 2, 3, and 4 with corresponding probabilities .15, .35, .35, and .15, respectively. a. Calculate E(X) and then E(5 - X).b. Would the repair facility be better off charging a flat fee of $75 or else the amount $[150/(5 - X)]? [Note: It is not generally true that E(c/Y) = c/E(Y).]arrow_forward74. The proportions of blood phenotypes in the U.S. popula- tion are as follows:A B AB O .40 .11 .04 .45 Assuming that the phenotypes of two randomly selected individuals are independent of one another, what is the probability that both phenotypes are O? What is the probability that the phenotypes of two randomly selected individuals match?arrow_forward
- 53. A certain shop repairs both audio and video compo- nents. Let A denote the event that the next component brought in for repair is an audio component, and let B be the event that the next component is a compact disc player (so the event B is contained in A). Suppose that P(A) = .6 and P(B) = .05. What is P(BA)?arrow_forward26. A certain system can experience three different types of defects. Let A;(i = 1,2,3) denote the event that the sys- tem has a defect of type i. Suppose thatP(A1) = .12 P(A) = .07 P(A) = .05P(A, U A2) = .13P(A, U A3) = .14P(A2 U A3) = .10P(A, A2 A3) = .011Rshelfa. What is the probability that the system does not havea type 1 defect?b. What is the probability that the system has both type 1 and type 2 defects?c. What is the probability that the system has both type 1 and type 2 defects but not a type 3 defect? d. What is the probability that the system has at most two of these defects?arrow_forwardThe following are suggested designs for group sequential studies. Using PROCSEQDESIGN, provide the following for the design O’Brien Fleming and Pocock.• The critical boundary values for each analysis of the data• The expected sample sizes at each interim analysisAssume the standardized Z score method for calculating boundaries.Investigators are evaluating the success rate of a novel drug for treating a certain type ofbacterial wound infection. Since no existing treatment exists, they have planned a one-armstudy. They wish to test whether the success rate of the drug is better than 50%, whichthey have defined as the null success rate. Preliminary testing has estimated the successrate of the drug at 55%. The investigators are eager to get the drug into production andwould like to plan for 9 interim analyses (10 analyzes in total) of the data. Assume thesignificance level is 5% and power is 90%.Besides, draw a combined boundary plot (OBF, POC, and HP)arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
![Text book image](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)