Elementary Statistics Using the TI-83/84 Plus Calculator Books a la carte Plus NEW MyLab Statistics with Pearson eText - Access Card Package (4th Edition)
4th Edition
ISBN: 9780133873795
Author: Mario F. Triola
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Videos
Question
Chapter 1.2, Problem 35BSC
To determine
What is wrong with the given statement.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
9. 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.
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
3
2,3,
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?
Chapter 1 Solutions
Elementary Statistics Using the TI-83/84 Plus Calculator Books a la carte Plus NEW MyLab Statistics with Pearson eText - Access Card Package (4th Edition)
Ch. 1.2 - Statistical Significance Versus Practical...Ch. 1.2 - Prob. 2BSCCh. 1.2 - Prob. 3BSCCh. 1.2 - Prob. 4BSCCh. 1.2 - Consider the Source. In Exercises 5-8, determine...Ch. 1.2 - Prob. 6BSCCh. 1.2 - Prob. 7BSCCh. 1.2 - Prob. 8BSCCh. 1.2 - Prob. 9BSCCh. 1.2 - Prob. 10BSC
Ch. 1.2 - Prob. 11BSCCh. 1.2 - Prob. 12BSCCh. 1.2 - Prob. 13BSCCh. 1.2 - Prob. 14BSCCh. 1.2 - Prob. 15BSCCh. 1.2 - Prob. 16BSCCh. 1.2 - Prob. 17BSCCh. 1.2 - Prob. 18BSCCh. 1.2 - Prob. 19BSCCh. 1.2 - Prob. 20BSCCh. 1.2 - Prob. 21BSCCh. 1.2 - Prob. 22BSCCh. 1.2 - Prob. 23BSCCh. 1.2 - Prob. 24BSCCh. 1.2 - What's Wrong? In Exercises 25-28, identify what is...Ch. 1.2 - Prob. 26BSCCh. 1.2 - What’s Wrong? In Exercises 25-28, identify what is...Ch. 1.2 - Prob. 28BSCCh. 1.2 - Prob. 29BSCCh. 1.2 - Percentages. In Exercises 29-36, answer the given...Ch. 1.2 - Prob. 31BSCCh. 1.2 - Prob. 32BSCCh. 1.2 - Prob. 33BSCCh. 1.2 - Prob. 34BSCCh. 1.2 - Prob. 35BSCCh. 1.2 - Prob. 36BSCCh. 1.2 - Prob. 37BBCh. 1.2 - Falsifying Data A researcher at the...Ch. 1.2 - Whats Wrong with This Picture? The Newport...Ch. 1.3 - Prob. 1BSCCh. 1.3 - Prob. 2BSCCh. 1.3 - Prob. 3BSCCh. 1.3 - Prob. 4BSCCh. 1.3 - Prob. 5BSCCh. 1.3 - Prob. 6BSCCh. 1.3 - In Exercises 5-12, identify whether the given...Ch. 1.3 - Prob. 8BSCCh. 1.3 - Prob. 9BSCCh. 1.3 - In Exercises 5-12, identify whether the given...Ch. 1.3 - Prob. 11BSCCh. 1.3 - Prob. 12BSCCh. 1.3 - Prob. 13BSCCh. 1.3 - Prob. 14BSCCh. 1.3 - Prob. 15BSCCh. 1.3 - Prob. 16BSCCh. 1.3 - Prob. 17BSCCh. 1.3 - Prob. 18BSCCh. 1.3 - Prob. 19BSCCh. 1.3 - Prob. 20BSCCh. 1.3 - Prob. 21BSCCh. 1.3 - Prob. 22BSCCh. 1.3 - Prob. 23BSCCh. 1.3 - Prob. 24BSCCh. 1.3 - Prob. 25BSCCh. 1.3 - Prob. 26BSCCh. 1.3 - Prob. 27BSCCh. 1.3 - Prob. 28BSCCh. 1.3 - Prob. 29BSCCh. 1.3 - Prob. 30BSCCh. 1.3 - Prob. 31BSCCh. 1.3 - Prob. 32BSCCh. 1.3 - Prob. 33BBCh. 1.3 - Prob. 34BBCh. 1.3 - Prob. 35BBCh. 1.4 - Prob. 1BSCCh. 1.4 - Prob. 2BSCCh. 1.4 - Prob. 3BSCCh. 1.4 - Prob. 4BSCCh. 1.4 - Prob. 5BSCCh. 1.4 - Prob. 6BSCCh. 1.4 - Prob. 7BSCCh. 1.4 - Prob. 8BSCCh. 1.4 - Prob. 9BSCCh. 1.4 - Prob. 10BSCCh. 1.4 - Prob. 11BSCCh. 1.4 - Prob. 12BSCCh. 1.4 - Prob. 13BSCCh. 1.4 - Prob. 14BSCCh. 1.4 - Prob. 15BSCCh. 1.4 - Prob. 16BSCCh. 1.4 - In Exercises 9-20, identify which of these types...Ch. 1.4 - Prob. 18BSCCh. 1.4 - Prob. 19BSCCh. 1.4 - Prob. 20BSCCh. 1.4 - Prob. 21BSCCh. 1.4 - Prob. 22BSCCh. 1.4 - Prob. 23BSCCh. 1.4 - Prob. 24BSCCh. 1.4 - Prob. 25BSCCh. 1.4 - Prob. 26BSCCh. 1.4 - Prob. 27BBCh. 1.4 - Prob. 28BBCh. 1.4 - Prob. 29BBCh. 1.4 - Prob. 30BBCh. 1.4 - Prob. 31BBCh. 1.4 - Prob. 32BBCh. 1.4 - In Exercises 33-36, identify which of these...Ch. 1.4 - Prob. 34BBCh. 1.4 - Prob. 35BBCh. 1.4 - Prob. 36BBCh. 1.5 - Equals Key On many calculators, the end of a...Ch. 1.5 - Prob. 2BSCCh. 1.5 - Prob. 3BSCCh. 1.5 - Prob. 4BSCCh. 1.5 - Prob. 5BSCCh. 1.5 - Prob. 6BSCCh. 1.5 - Prob. 7BSCCh. 1.5 - Prob. 8BSCCh. 1.5 - Prob. 9BSCCh. 1.5 - Prob. 10BSCCh. 1.5 - Prob. 11BSCCh. 1.5 - Prob. 12BSCCh. 1.5 - Prob. 13BSCCh. 1.5 - Prob. 14BSCCh. 1.5 - Prob. 15BSCCh. 1.5 - Prob. 16BSCCh. 1.5 - Prob. 17BSCCh. 1.5 - Prob. 18BSCCh. 1.5 - Prob. 19BSCCh. 1.5 - Prob. 20BSCCh. 1.5 - Prob. 21BSCCh. 1.5 - Prob. 22BSCCh. 1.5 - Scientific Notation in Exercises 2124, use the...Ch. 1.5 - Scientific Notation in Exercises 2124, use the...Ch. 1.5 - Prob. 26BBCh. 1 - Prob. 1CQQCh. 1 - Prob. 2CQQCh. 1 - Prob. 3CQQCh. 1 - Prob. 4CQQCh. 1 - Prob. 5CQQCh. 1 - Prob. 6CQQCh. 1 - Prob. 7CQQCh. 1 - Prob. 8CQQCh. 1 - Prob. 9CQQCh. 1 - 10. Statistical Significance and Practical...Ch. 1 - Prob. 1RECh. 1 - Prob. 2RECh. 1 - Prob. 3RECh. 1 - Prob. 4RECh. 1 - Prob. 5RECh. 1 - Prob. 6RECh. 1 - Prob. 7RECh. 1 - Prob. 8RECh. 1 - 9. Marijuana Survey Identify the type of sampling...Ch. 1 - Prob. 10RECh. 1 - Prob. 1CRECh. 1 - Prob. 2CRECh. 1 - Prob. 3CRECh. 1 - Prob. 4CRECh. 1 - For Chapter 2 through Chapter 14, the Cumulative...Ch. 1 - Prob. 6CRECh. 1 - Prob. 7CRECh. 1 - Prob. 8CRECh. 1 - Prob. 9CRECh. 1 - Prob. 10CRECh. 1 - Prob. 11CRECh. 1 - Prob. 12CRECh. 1 - Prob. 1TPCPCh. 1 - Prob. 1FDDCh. 1 - Prob. 2FDD
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- 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
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage Learning
Statistics 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:PEARSON
The Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. Freeman
Introduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Finite Math: Markov Chain Example - The Gambler's Ruin; Author: Brandon Foltz;https://www.youtube.com/watch?v=afIhgiHVnj0;License: Standard YouTube License, CC-BY
Introduction: MARKOV PROCESS And MARKOV CHAINS // Short Lecture // Linear Algebra; Author: AfterMath;https://www.youtube.com/watch?v=qK-PUTuUSpw;License: Standard Youtube License
Stochastic process and Markov Chain Model | Transition Probability Matrix (TPM); Author: Dr. Harish Garg;https://www.youtube.com/watch?v=sb4jo4P4ZLI;License: Standard YouTube License, CC-BY