Concept explainers
To find: In order to get three units of type O blood, the number of potential donors is required to be checked.
Explanation of Solution
There is required to locate blood donors, and can use the following steps to simulate them:
Step 1
One blood donor is the component.
Step 2
It is required to produce the random digits from pairs 00-99 for simulation. Let 01-44 represents the kind of donor of O and 45-99 and 00 represents who is not a donor of kind O.
Step 3
The answer variable is the number of digit pairs produced by up to 3 simulated donor forms.
Step 4
When three kinds of O donor have been simulated, the trials are over.
Step 5
It is required to run the process of simulation with test numbers. By using random number generators, we produce random numbers using the following steps:
1) As per our needs, add random numbers.
2) Between 00 and 99, random digits are based on
3) Press the submission button.
Trial Number | Component Outcomes | Trial Outcomes |
1 | 66, 02, 76, 47, 03 | 5 |
2 | 85, 34, 21, 46, 67, 49, 20 | 7 |
3 | 74, 96, 01, 23, 75, 93, 72, 15 | 8 |
4 | 23, 76, 01, 51, 90, 94, 87, 34 | 8 |
5 | 95, 74, 75, 07, 40, 83, 52, 52, 02 | 9 |
6 | 05, 00, 69, 05, 31 | 5 |
7 | 79, 48, 81, 21, 12, 90, 28 | 7 |
8 | 98, 41, 34, 21 | 4 |
9 | 00, 12, 95, 27, 72, 85, 33 | 7 |
10 | 03, 51, 95, 21, 95, 51, 87, 30 | 8 |
Total | 68 |
Step 6
The possible number of blood donors must be considered to be simulated:
There are 6.8 blood donors.
Step 7
It can infer on the basis of the simulation that there are 6.8 blood donors needed to be fairly assured of receiving 3 forms of O donors.
Chapter 11 Solutions
Stats: Modeling the World Nasta Edition Grades 9-12
Additional Math Textbook Solutions
University Calculus: Early Transcendentals (4th Edition)
Intro Stats, Books a la Carte Edition (5th Edition)
A Problem Solving Approach To Mathematics For Elementary School Teachers (13th Edition)
Basic Business Statistics, Student Value Edition
Calculus: Early Transcendentals (2nd Edition)
A First Course in Probability (10th Edition)
- A well-known company predominantly makes flat pack furniture for students. Variability with the automated machinery means the wood components are cut with a standard deviation in length of 0.45 mm. After they are cut the components are measured. If their length is more than 1.2 mm from the required length, the components are rejected. a) Calculate the percentage of components that get rejected. b) In a manufacturing run of 1000 units, how many are expected to be rejected? c) The company wishes to install more accurate equipment in order to reduce the rejection rate by one-half, using the same ±1.2mm rejection criterion. Calculate the maximum acceptable standard deviation of the new process.arrow_forward5. Let X and Y be independent random variables and let the superscripts denote symmetrization (recall Sect. 3.6). Show that (X + Y) X+ys.arrow_forward8. Suppose that the moments of the random variable X are constant, that is, suppose that EX" =c for all n ≥ 1, for some constant c. Find the distribution of X.arrow_forward
- 9. The concentration function of a random variable X is defined as Qx(h) = sup P(x ≤ X ≤x+h), h>0. Show that, if X and Y are independent random variables, then Qx+y (h) min{Qx(h). Qr (h)).arrow_forward10. Prove that, if (t)=1+0(12) as asf->> O is a characteristic function, then p = 1.arrow_forward9. The concentration function of a random variable X is defined as Qx(h) sup P(x ≤x≤x+h), h>0. (b) Is it true that Qx(ah) =aQx (h)?arrow_forward
- 3. Let X1, X2,..., X, be independent, Exp(1)-distributed random variables, and set V₁₁ = max Xk and W₁ = X₁+x+x+ Isk≤narrow_forward7. Consider the function (t)=(1+|t|)e, ER. (a) Prove that is a characteristic function. (b) Prove that the corresponding distribution is absolutely continuous. (c) Prove, departing from itself, that the distribution has finite mean and variance. (d) Prove, without computation, that the mean equals 0. (e) Compute the density.arrow_forward1. Show, by using characteristic, or moment generating functions, that if fx(x) = ½ex, -∞0 < x < ∞, then XY₁ - Y2, where Y₁ and Y2 are independent, exponentially distributed random variables.arrow_forward
- 1. Show, by using characteristic, or moment generating functions, that if 1 fx(x): x) = ½exarrow_forward1990) 02-02 50% mesob berceus +7 What's the probability of getting more than 1 head on 10 flips of a fair coin?arrow_forward9. The concentration function of a random variable X is defined as Qx(h) sup P(x≤x≤x+h), h>0. = x (a) Show that Qx+b(h) = Qx(h).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