Introductory Statistics (10th Edition)
10th Edition
ISBN: 9780321989178
Author: Neil A. Weiss
Publisher: PEARSON
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Chapter 5.3, Problem 53E
What is the binomial distribution?
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Chapter 5 Solutions
Introductory Statistics (10th Edition)
Ch. 5.1 - Fill in the blanks. a. A relative-frequency...Ch. 5.1 - Provide an example (other than one discussed in...Ch. 5.1 - Let X denote the number of siblings of a randomly...Ch. 5.1 - Fill in the blank. For a discrete random variable,...Ch. 5.1 - Suppose that you make a large number of...Ch. 5.1 - What rule of probability permits you to obtain any...Ch. 5.1 - A variable x of a finite population has the...Ch. 5.1 - A variable y of a finite population has the...Ch. 5.1 - A variable y of a finite population has the...Ch. 5.1 - A variable x of a finite population has the...
Ch. 5.1 - Space Shuttles. The National Aeronautics and Space...Ch. 5.1 - Persons per Housing Unit. From the document...Ch. 5.1 - Major Hurricanes. The Atlantic Hurricane Database...Ch. 5.1 - Childrens Gender. A certain couple is equally...Ch. 5.1 - Dice. When two balanced dice are rolled, 36...Ch. 5.1 - World Series. The World Series in baseball is won...Ch. 5.1 - Archery. An archer shoots an arrow into a square...Ch. 5.1 - Solar Eclipses. The World Almanac provides...Ch. 5.1 - Black Bear Litters. In the article Reproductive...Ch. 5.1 - All-Numeric Passwords. The technology consultancy...Ch. 5.1 - Suppose that P(Z 1.96) = 0.025. Find P(Z 1.96)....Ch. 5.1 - Suppose that T and Z are random variables. a. If...Ch. 5.1 - Prob. 23ECh. 5.2 - What concept does the mean of a discrete random...Ch. 5.2 - Comparing Investments. Suppose that the random...Ch. 5.2 - In Exercises 5.275.30, we have provided the...Ch. 5.2 - In Exercises 5.275.30, we have provided the...Ch. 5.2 - In Exercises 5.275.30, we have provided the...Ch. 5.2 - In Exercises 5.275.30, we have provided the...Ch. 5.2 - In Exercises 5.315.35, we have provided the...Ch. 5.2 - In Exercises 5.315.35, we have provided the...Ch. 5.2 - In Exercises 5.315.35, we have provided the...Ch. 5.2 - In Exercises 5.315.35, we have provided the...Ch. 5.2 - In Exercises 5.315.35, we have provided the...Ch. 5.2 - World Series. The World Series in baseball is won...Ch. 5.2 - Archery. An archer shoots an arrow into a square...Ch. 5.2 - All-Numeric Passwords. The technology consultancy...Ch. 5.2 - Expected Value. As noted in Definition 5.4 on page...Ch. 5.2 - Evaluating Investments. An investor plans to put...Ch. 5.2 - Homeowners Policy. An insurance company wants to...Ch. 5.2 - Prob. 42ECh. 5.2 - Equipment Breakdowns. A factory manager collected...Ch. 5.2 - Simulation. Let X be the value of a randomly...Ch. 5.2 - Mean as Center of Gravity. Let X be a discrete...Ch. 5.2 - Equipment Breakdowns. Refer to Exercise 5.43....Ch. 5.2 - Equipment Breakdowns. The factory manager in...Ch. 5.3 - In probability and statistics, what is each...Ch. 5.3 - Under what three conditions are repeated trials of...Ch. 5.3 - Explain the significance of binomial coefficients...Ch. 5.3 - Discuss the pros and cons of binomial probability...Ch. 5.3 - What is the binomial distribution?Ch. 5.3 - Suppose that a simple random sample is taken from...Ch. 5.3 - Give two examples of Bernoulli trials other than...Ch. 5.3 - What does the bi in binomial signify?Ch. 5.3 - Compute 3!, 7!, 8!, and 9!.Ch. 5.3 - Find 1!, 2!, 4!, and 6!.Ch. 5.3 - Evaluate the following binomial coefficients. a....Ch. 5.3 - Evaluate the following binomial coefficients. a....Ch. 5.3 - Evaluate the following binomial coefficients. a....Ch. 5.3 - Determine the value of each binomial coefficient....Ch. 5.3 - For each of the following probability histograms...Ch. 5.3 - For each of the following probability histograms...Ch. 5.3 - Pinworm Infestation. Pinworm infestation, which is...Ch. 5.3 - Psychiatric Disorders. The National Institute of...Ch. 5.3 - In each of Exercises 5.675.72, we have provided...Ch. 5.3 - In each of Exercises 5.675.72, we have provided...Ch. 5.3 - In each of Exercises 5.675.72, we have provided...Ch. 5.3 - In each of Exercises 5.675.72, we have provided...Ch. 5.3 - In each of Exercises 5.675.72, we have provided...Ch. 5.3 - In each of Exercises 5.675.72, we have provided...Ch. 5.3 - Prob. 73ECh. 5.3 - Psychiatric Disorders. Use Procedure 5.1 on page...Ch. 5.3 - Tossing a Coin. If we repeatedly toss a balanced...Ch. 5.3 - Rolling a Die. If we repeatedly roll a balanced...Ch. 5.3 - Horse Racing. According to the Daily Racing Form,...Ch. 5.3 - Gestation Periods. The probability is 0.314 that...Ch. 5.3 - Traffic Fatalities and Intoxication. The National...Ch. 5.3 - Multiple-Choice Exams. A student takes a...Ch. 5.3 - Love Stinks? J. Fetto, in the article Love Stinks...Ch. 5.3 - Carbon Tax. A poll commissioned by Friends of the...Ch. 5.3 - Video Games. A pathological video game user (PVGU)...Ch. 5.3 - Recidivism. In the Scientific American article...Ch. 5.3 - Roulette. A success, s, in Bernoulli trials is...Ch. 5.3 - Sampling and the Binomial Distribution. Refer to...Ch. 5.3 - Sampling and the Binomial Distribution. Following...Ch. 5.3 - The Hypergeometric Distribution. In this exercise,...Ch. 5.3 - To illustrate, again consider the Mega Millions...Ch. 5.3 - To illustrate, consider the following problem:...Ch. 5.4 - Identify two uses of Poisson distributions.Ch. 5.4 - Why cant all the probabilities for a Poisson...Ch. 5.4 - For a Poisson random variable, what is the...Ch. 5.4 - What conditions should be satisfied in order to...Ch. 5.4 - Prob. 95ECh. 5.4 - Prob. 96ECh. 5.4 - In each of Exercises 5.965.99, we have provided...Ch. 5.4 - Prob. 98ECh. 5.4 - In each of Exercises 5.965.99, we have provided...Ch. 5.4 - Amusement Ride Safety. Approximately 297 million...Ch. 5.4 - Polonium. In the 1910 article The Probability...Ch. 5.4 - Wasps. M. Goodisman et al. studied patterns in...Ch. 5.4 - Wars. In the paper The Distribution of Wars in...Ch. 5.4 - Motel Reservations. M. Driscoll and N. Weiss...Ch. 5.4 - Cherry Pies. At one time, a well-known restaurant...Ch. 5.4 - Motor-Vehicle Deaths. According to Injury Facts, a...Ch. 5.4 - Prisoners. From the U.S. Census Bureau and the...Ch. 5.4 - The Challenger Disaster. In a letter to the editor...Ch. 5.4 - Fragile X Syndrome. The second-leading genetic...Ch. 5.4 - Holes in One. Refer to the case study on page 223....Ch. 5.4 - A Yellow Lobster! As reported by the Associated...Ch. 5.4 - With regard to the use of a Poisson distribution...Ch. 5.4 - Roughly speaking, you can use the Poisson...Ch. 5 - Fill in the blanks. a. A ______ is a quantitative...Ch. 5 - Prob. 2RPCh. 5 - Prob. 3RPCh. 5 - If you sum the probabilities of the possible...Ch. 5 - A random variable X equals 2 with probability...Ch. 5 - A random variable X has mean 3.6. If you make a...Ch. 5 - Prob. 7RPCh. 5 - Prob. 8RPCh. 5 - Prob. 9RPCh. 5 - List the three requirements for repeated trials of...Ch. 5 - What is the relationship between Bernoulli trials...Ch. 5 - In 10 Bernoulli trials, how many outcomes contain...Ch. 5 - Craps. The game of craps is played by rolling two...Ch. 5 - Following are two probability histograms of...Ch. 5 - Prob. 15RPCh. 5 - Prob. 16RPCh. 5 - ASU Enrollment Summary. According to the Arizona...Ch. 5 - Prob. 18RPCh. 5 - Busy Phone Lines. Refer to the probability...Ch. 5 - Craps. Use the binomial probability formula to...Ch. 5 - Penalty Kicks. In the game of soccer, a penalty...Ch. 5 - Pets. According to JAVMA News, a publication of...Ch. 5 - Pets. Refer to Problem 22. a. Draw a probability...Ch. 5 - Prob. 24RPCh. 5 - Prob. 25RPCh. 5 - Meteoroids. In the article Interstellar Pelting...Ch. 5 - Emphysema. The respiratory disease emphysema,...Ch. 5 - Prob. 28RPCh. 5 - As we reported at the beginning of this chapter,...
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- 11. Prove or disprove: (a) If is a characteristic function, then so is ²; (b) If is a non-negative characteristic function, then so is √√4.arrow_forward4. Suppose that P(X = 1) = P(X = -1) = 1/2, that Y = U(-1, 1) and that X and Y are independent. (a) Show, by direct computation, that X + Y = U(-2, 2). (b) Translate the result to a statement about characteristic functions. (c) Which well-known trigonometric formula did you discover?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). (b) Is it true that Qx(ah) =aQx(h)? (c) Show that, if X and Y are independent random variables, then Qx+y (h) min{Qx(h). Qy (h)). To put the concept in perspective, if X1, X2, X, are independent, identically distributed random variables, and S₁ = Z=1Xk, then there exists an absolute constant, A, such that A Qs, (h) ≤ √n Some references: [79, 80, 162, 222], and [204], Sect. 1.5.arrow_forward
- 29 Suppose that a mound-shaped data set has a must mean of 10 and standard deviation of 2. a. About what percentage of the data should lie between 6 and 12? b. About what percentage of the data should lie between 4 and 6? c. About what percentage of the data should lie below 4? 91002 175/1 3arrow_forward2,3, ample and rical t? the 28 Suppose that a mound-shaped data set has a mean of 10 and standard deviation of 2. a. About what percentage of the data should lie between 8 and 12? b. About what percentage of the data should lie above 10? c. About what percentage of the data should lie above 12?arrow_forward27 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_forward
- 30 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_forward6. 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_forward
- 4. 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_forward3. Prove that, for any random variable X, the minimum of E(X - a)² is attained for a = EX. Provedarrow_forward
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