Concept explainers
Although television HDTV converters are tested before they are placed in the installer’s truck, the installer knows that 20 percent of them still won’t work properly. The driver must install eight converters today in an apartment building. (a) Ten converters are placed in the truck. What is the
(a)
Find the probability that the driver have enough working converters.
Answer to Problem 78CE
The probability that the driver have enough working converters is 0.6778.
Explanation of Solution
Calculation:
The given information is that the 20% of the converters would not work properly. The driver must install the 8 converters in an apartment in one day. There are 10 converters in the truck.
In total of 10 converters, 2 would not work properly. The driver has to install 8 converters, it means any 2 or fewer are not working properly then the driver can get enough working converters.
Binomial Distribution:
The random variable X is the number of success in n trails. The random variable X follows binomial distribution with parameters n and
The PDF of the distribution is,
Here, the random variable X is the number of not working converters, n is 10 and the probability of no shows is 0.20.
The probability of the driver have enough working converters is
Probability = BINOM.DIST (numbers, trails, probability, cumulative).
Software procedure:
Step by step procedure to obtain the probability by using EXCEL software:
- Open new EXCEL file.
- In cell A1, enter the formula as “=BINOM.DIST (2,10,0.20,1)”.
Output using EXCEL software is given as follows:
From the output, the value of
Thus, the probability that the driver have enough working converters is 0.6778.
(b)
Find the number of boxes should be loaded to get 95% have enough working converters.
Answer to Problem 78CE
The number of boxes should be loaded to get 95% have enough working converters is 13.
Explanation of Solution
Calculation:
Assume the random variable X represents the number of working converters and the probability for the event is 0.80.
Calculate the number of boxes need to get the 95% have enough working inverters,
The value of
Probability = BINOM.DIST (7, n, 0.80, 1).
For
Software procedure:
Step by step procedure to obtain the probability by using EXCEL software:
- Open new EXCEL file.
- In cell A1, enter the formula as “=BINOM.DIST (7,10,0.80,1)”.
Output using EXCEL software is given as follows:
From the output, the value of
For
Software procedure:
Step by step procedure to obtain the probability by using EXCEL software:
- Open new EXCEL file.
- In cell A1, enter the formula as “=BINOM.DIST (7,11,0.80,1)”.
Output using EXCEL software is given as follows:
From the output, the value of
For
Software procedure:
Step by step procedure to obtain the probability by using EXCEL software:
- Open new EXCEL file.
- In cell A1, enter the formula as “=BINOM.DIST (7,12,0.80,1)”.
Output using EXCEL software is given as follows:
From the output, the value of
For
Software procedure:
Step by step procedure to obtain the probability by using EXCEL software:
- Open new EXCEL file.
- In cell A1, enter the formula as “=BINOM.DIST (7,13,0.80,1)”.
Output using EXCEL software is given as follows:
From the output, the value of
Thus, the number of boxes should be loaded to get 95% have enough working converters is 13.
Want to see more full solutions like this?
Chapter 6 Solutions
Applied Statistics in Business and Economics
- 27 Suppose that you have a data set of 1, 2, 2, 3, 3, 3, 4, 4, 5, and you assume that this sample represents a population. The mean is 3 and g the standard deviation is 1.225.10 a. Explain why you can apply the empirical rule to this data set. b. Where would "most of the values" in the population fall, based on this data set?arrow_forward30 Explain how you can use the empirical rule to find out whether a data set is mound- shaped, using only the values of the data themselves (no histogram available).arrow_forward5. Let X be a positive random variable with finite variance, and let A = (0, 1). Prove that P(X AEX) 2 (1-A)² (EX)² EX2arrow_forward
- 6. Let, for p = (0, 1), and xe R. X be a random variable defined as follows: P(X=-x) = P(X = x)=p. P(X=0)= 1-2p. Show that there is equality in Chebyshev's inequality for X. This means that Chebyshev's inequality, in spite of being rather crude, cannot be improved without additional assumptions.arrow_forward4. Prove that, for any random variable X, the minimum of EIX-al is attained for a = med (X).arrow_forward8. Recall, from Sect. 2.16.4, the likelihood ratio statistic, Ln, which was defined as a product of independent, identically distributed random variables with mean 1 (under the so-called null hypothesis), and the, sometimes more convenient, log-likelihood, log L, which was a sum of independent, identically distributed random variables, which, however, do not have mean log 1 = 0. (a) Verify that the last claim is correct, by proving the more general statement, namely that, if Y is a non-negative random variable with finite mean, then E(log Y) log(EY). (b) Prove that, in fact, there is strict inequality: E(log Y) < log(EY), unless Y is degenerate. (c) Review the proof of Jensen's inequality, Theorem 5.1. Generalize with a glimpse on (b).arrow_forward
- 3. Prove that, for any random variable X, the minimum of E(X - a)² is attained for a = EX. Provedarrow_forward7. Cantelli's inequality. Let X be a random variable with finite variance, o². (a) Prove that, for x ≥ 0, P(X EX2x)≤ 02 x² +0² 202 P(|X - EX2x)<≤ (b) Find X assuming two values where there is equality. (c) When is Cantelli's inequality better than Chebyshev's inequality? (d) Use Cantelli's inequality to show that med (X) - EX ≤ o√√3; recall, from Proposition 6.1, that an application of Chebyshev's inequality yields the bound o√√2. (e) Generalize Cantelli's inequality to moments of order r 1.arrow_forwardThe college hiking club is having a fundraiser to buy new equipment for fall and winter outings. The club is selling Chinese fortune cookies at a price of $2 per cookie. Each cookie contains a piece of paper with a different number written on it. A random drawing will determine which number is the winner of a dinner for two at a local Chinese restaurant. The dinner is valued at $32. Since fortune cookies are donated to the club, we can ignore the cost of the cookies. The club sold 718 cookies before the drawing. Lisa bought 13 cookies. Lisa's expected earnings can be found by multiplying the value of the dinner by the probability that she will win. What are Lisa's expected earnings? Round your answer to the nearest cent.arrow_forward
- The Honolulu Advertiser stated that in Honolulu there was an average of 659 burglaries per 400,000 households in a given year. In the Kohola Drive neighborhood there are 321 homes. Let r be the number of homes that will be burglarized in a year. Use the formula for Poisson distribution. What is the value of p, the probability of success, to four decimal places?arrow_forwardThe college hiking club is having a fundraiser to buy new equipment for fall and winter outings. The club is selling Chinese fortune cookies at a price of $2 per cookie. Each cookie contains a piece of paper with a different number written on it. A random drawing will determine which number is the winner of a dinner for two at a local Chinese restaurant. The dinner is valued at $32. Since fortune cookies are donated to the club, we can ignore the cost of the cookies. The club sold 718 cookies before the drawing. Lisa bought 13 cookies. Lisa's expected earnings can be found by multiplying the value of the dinner by the probability that she will win. What are Lisa's expected earnings? Round your answer to the nearest cent.arrow_forwardWhat was the age distribution of nurses in Great Britain at the time of Florence Nightingale? Thanks to Florence Nightingale and the British census of 1851, we have the following information (based on data from the classic text Notes on Nursing, by Florence Nightingale). Note: In 1851 there were 25,466 nurses in Great Britain. Furthermore, Nightingale made a strict distinction between nurses and domestic servants. Use a histogram and graph the probability distribution. Using the graph of the probability distribution determine the probability that a British nurse selected at random in 1851 would be 40 years of age or older. Round your answer to nearest thousandth. Age range (yr) 20–29 30–39 40–49 50–59 60–69 70–79 80+ Midpoint (x) 24.5 34.5 44.5 54.5 64.5 74.5 84.5 Percent of nurses 5.7% 9.7% 19.5% 29.2% 25.0% 9.1% 1.8%arrow_forward
- Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGALCollege Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage Learning
- Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:CengageCollege AlgebraAlgebraISBN:9781305115545Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage Learning