Concept explainers
Answer to Problem 84E
Probability that the randomly selected U.S person is lactose intolerant Asian is approx. 0.1401.
Explanation of Solution
Given information:
Data for African and Asian ancestry in United States:
82% of the population is White
14% of the population is Black
4% of the population is Asian
Lactose intolerant people:
15% are Whites
70% are Blacks
90% are Asians
Calculations:
Probability for White,
Probability for Black,
Probability for Asian,
Probability for White lactose intolerant,
Probability for Black lactose intolerant,
Probability for Asian lactose intolerant,
Apply general multiplication rule:
Probability for lactose intolerant and White,
Probability for lactose intolerant and Black,
Probability for lactose intolerant and Asian,
Since the group of people considering themselves to belong to more than one race are not included.
Apply general addition rule for mutually exclusive events:
Using conditional probability definition:
Thus,
The conditional probability for randomly selected person is lactose intolerant Asian is approx. 0.1401.
Chapter 5 Solutions
PRACTICE OF STATISTICS F/AP EXAM
Additional Math Textbook Solutions
A First Course in Probability (10th Edition)
A Problem Solving Approach To Mathematics For Elementary School Teachers (13th Edition)
Calculus: Early Transcendentals (2nd Edition)
Elementary Statistics
Algebra and Trigonometry (6th Edition)
Basic Business Statistics, Student Value Edition
- During busy political seasons, many opinion polls are conducted. In apresidential race, how do you think the participants in polls are generally selected?Discuss any issues regarding simple random, stratified, systematic, cluster, andconvenience sampling in these polls. What about other types of polls, besides political?arrow_forwardPlease could you explain why 0.5 was added to each upper limpit of the intervals.Thanksarrow_forward28. (a) Under what conditions do we say that two random variables X and Y are independent? (b) Demonstrate that if X and Y are independent, then it follows that E(XY) = E(X)E(Y); (e) Show by a counter example that the converse of (ii) is not necessarily true.arrow_forward
- 19. Let X be a non-negative random variable. Show that lim nE (IX >n)) = 0. E lim (x)-0. = >arrow_forward(c) Utilize Fubini's Theorem to demonstrate that E(X)= = (1- F(x))dx.arrow_forward(c) Describe the positive and negative parts of a random variable. How is the integral defined for a general random variable using these components?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