Introduction To Probability And Statistics
15th Edition
ISBN: 9781337554428
Author: Mendenhall, William.
Publisher: Cengage Learning,
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Chapter 1.3, Problem 8E
To determine
To construct the stem and leaf plot for the given data.
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Theorem 7.6 (Etemadi's inequality)
Let X1, X2,
X, be independent random variables. Then, for all x > 0,
P(max |S|>3x) ≤3 max P(S| > x).
Isk≤n
Theorem 7.2 Suppose that E X = 0 for all k, that Var X = 0} x) ≤ 2P(S>x
1≤k≤n
S√2),
-S√2).
P(max Sk>x) ≤ 2P(|S|>x-
1
Three players (one divider and two choosers) are going to divide a cake fairly using the lone divider method. The divider cuts the cake into three slices (s1, s2, and s3).If the chooser's declarations are Chooser 1: {s3} and Chooser 2: {s3}, which of the following is a fair division of the cake?
Chapter 1 Solutions
Introduction To Probability And Statistics
Ch. 1.1 - Experimental UnitsDefine the experimental units...Ch. 1.1 - Experimental UnitsDefine the experimental units...Ch. 1.1 - Experimental UnitsDefine the experimental units...Ch. 1.1 - Experimental UnitsDefine the experimental units...Ch. 1.1 - Experimental UnitsDefine the experimental units...Ch. 1.1 - Qualitative or Quantitative? Are the variables in...Ch. 1.1 - Qualitative or Quantitative? Are the variables in...Ch. 1.1 - Qualitative or Quantitative? Are the variables in...Ch. 1.1 - Qualitative or Quantitative? Are the variables in...Ch. 1.1 - Discrete or Continuous? Are the variables in...
Ch. 1.1 - Discrete or Continuous? Are the variables in...Ch. 1.1 - Discrete or Continuous? Are the variables in...Ch. 1.1 - Discrete or Continuous? Are the variables in...Ch. 1.1 - Discrete or Continuous? Are the variables in...Ch. 1.1 - Discrete or Continuous? Are the variables in...Ch. 1.1 - Discrete or Continuous? Are the variables in...Ch. 1.1 - Discrete or Continuous? Are the variables in...Ch. 1.1 - Discrete or Continuous? Are the variables in...Ch. 1.1 - Populations or Samples? In Exercises 1922,...Ch. 1.1 - Populations or Samples? In Exercises 1922,...Ch. 1.1 - Populations or Samples? In Exercises 1922,...Ch. 1.1 - Populations or Samples? In Exercises 1922,...Ch. 1.1 - Parking on Campus Six vehicles selected from a...Ch. 1.1 - Past U.S. Presidents A data set gives the ages at...Ch. 1.1 - Voter Attitudes You are a candidate for your state...Ch. 1.1 - Cancer Survival Times A researcher wants to...Ch. 1.1 - New Teaching Methods A researcher wants to know...Ch. 1.2 - Pie and Bar Charts The data in Exercises 13...Ch. 1.2 - Pie and Bar Charts The data in Exercises 13...Ch. 1.2 - Pie and Bar Charts The data in Exercises 13...Ch. 1.2 - Groups of People Fifty people are grouped into...Ch. 1.2 - Presidential Popularity After the elections of...Ch. 1.2 - Presidential Popularity After the elections of...Ch. 1.2 - Presidential Popularity After the elections of...Ch. 1.2 - Presidential Popularity After the elections of...Ch. 1.2 - Presidential Popularity After the elections of...Ch. 1.2 - Prob. 10ECh. 1.2 - Prob. 11ECh. 1.2 - Prob. 12ECh. 1.2 - Prob. 13ECh. 1.2 - Prob. 14ECh. 1.2 - Prob. 15ECh. 1.2 - Back to Work How long does it take you to adjust...Ch. 1.2 - Prob. 17ECh. 1.2 - Prob. 18ECh. 1.2 - Prob. 19ECh. 1.2 - Prob. 20ECh. 1.2 - Prob. 21ECh. 1.3 - DotplotsConstruct a dotplot for the data given in...Ch. 1.3 - DotplotsConstruct a dotplot for the data given in...Ch. 1.3 - Stem and Leaf I Construct a stem and leaf plot for...Ch. 1.3 - Stem and Leaf I Construct a stem and leaf plot for...Ch. 1.3 - Stem and Leaf I Construct a stem and leaf plot for...Ch. 1.3 - Stem and Leaf II Use the following set of data...Ch. 1.3 - Stem and Leaf II Use the following set of data...Ch. 1.3 - Prob. 8ECh. 1.3 - Prob. 9ECh. 1.3 - Comparing Graphs A discrete variable can take on...Ch. 1.3 - Prob. 11ECh. 1.3 - Prob. 12ECh. 1.3 - Prob. 13ECh. 1.3 - Prob. 14ECh. 1.3 - Prob. 15ECh. 1.3 - Prob. 16ECh. 1.3 - Prob. 17ECh. 1.3 - Calcium Contents The calcium content (Ca)of a...Ch. 1.3 - Prob. 19ECh. 1.3 - Prob. 20ECh. 1.3 - Prob. 21ECh. 1.3 - Prob. 22ECh. 1.3 - Prob. 23ECh. 1.3 - Prob. 24ECh. 1.3 - American Presidents The following table lists the...Ch. 1.4 - Graphing Relative Frequency Histograms Construct a...Ch. 1.4 - Graphing Relative Frequency Histograms Construct a...Ch. 1.4 - Interpreting Relative Frequency Histograms Use the...Ch. 1.4 - Interpreting Relative Frequency Histograms Use the...Ch. 1.4 - Interpreting Relative Frequency Histograms Use the...Ch. 1.4 - Interpreting Relative Frequency Histograms Use the...Ch. 1.4 - Interpreting Relative Frequency Histograms Use the...Ch. 1.4 - Interpreting Relative Frequency Histograms Use the...Ch. 1.4 - Class Boundaries In Exercises 912, use the...Ch. 1.4 - Class Boundaries In Exercises 912, use the...Ch. 1.4 - Prob. 11ECh. 1.4 - Prob. 12ECh. 1.4 - Prob. 13ECh. 1.4 - Prob. 14ECh. 1.4 - Relative Frequency Histogram I Construct a...Ch. 1.4 - Prob. 16ECh. 1.4 - Prob. 17ECh. 1.4 - Prob. 18ECh. 1.4 - Prob. 19ECh. 1.4 - Prob. 20ECh. 1.4 - Prob. 21ECh. 1.4 - Prob. 22ECh. 1.4 - Prob. 23ECh. 1.4 - Prob. 24ECh. 1.4 - A Recurring Illness The length of time (in months)...Ch. 1.4 - Prob. 26ECh. 1.4 - Prob. 27ECh. 1.4 - Prob. 28ECh. 1.4 - Prob. 29ECh. 1.4 - Prob. 30ECh. 1.4 - Prob. 31ECh. 1.4 - Student Heights The self-reported heights of 105...Ch. 1.4 - Prob. 33ECh. 1 - Quantitative or Qualitative? Identify each...Ch. 1 - Symmetric or Skewed? Do you expect the...Ch. 1 - Continuous or Discrete? Identify each variable as...Ch. 1 - Continuous or Discrete, again Identify each...Ch. 1 - World Lakes A lake is a body of water surrounded...Ch. 1 - Prob. 6RWYLCh. 1 - Election Results The 2016 election was a race in...Ch. 1 - Prob. 8RWYLCh. 1 - Prob. 9RWYLCh. 1 - Pulse Rates A group of 50 biomedical students...Ch. 1 - Prob. 11RWYLCh. 1 - Prob. 12RWYLCh. 1 - Gasoline Tax The following are the 2017 state...Ch. 1 - Prob. 14RWYLCh. 1 - Prob. 15RWYLCh. 1 - Prob. 16RWYLCh. 1 - Kentucky Derby The following data set shows the...Ch. 1 - Prob. 18RWYLCh. 1 - Old Faithful The following data are the waiting...Ch. 1 - Prob. 20RWYLCh. 1 - Prob. 1CSCh. 1 - Prob. 2CS
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- Theorem 1.4 (Chebyshev's inequality) (i) Suppose that Var X x)≤- x > 0. 2 (ii) If X1, X2,..., X, are independent with mean 0 and finite variances, then Στη Var Xe P(|Sn| > x)≤ x > 0. (iii) If, in addition, X1, X2, Xn are identically distributed, then nVar Xi P(|Sn> x) ≤ x > 0. x²arrow_forwardTheorem 2.5 (The Lyapounov inequality) For 0arrow_forwardTheorem 1.6 (The Kolmogorov inequality) Let X1, X2, Xn be independent random variables with mean 0 and suppose that Var Xk 0, P(max Sk>x) ≤ Isk≤n Σ-Var X In particular, if X1, X2,..., X, are identically distributed, then P(max Sx) ≤ Isk≤n nVar X₁ x2arrow_forwardTheorem 3.1 (The Cauchy-Schwarz inequality) Suppose that X and Y have finite variances. Then |EXYarrow_forwardAbout 25% of people in America use a certain social media website. In a group with 20 people (assume that it is a random sample of people in America), what are the following probabilities? (Round your answers to three decimal places.) a) At least one of them uses the website. b) More than two of them use the website. c) None of them use the website. d) At least 18 of them do not use the website. please show all steps and work for probabilities. answer parts a-d.arrow_forwardExample 4 (Part 2) We can use Statkey to take 50 different random samples of size 20 each, find the mean of each sample, and compute a confidence interval for each one. The graph of the sampling distribution of the means is on the left below, and that of the 50 confidence intervals is on the right. 1. What does each dot on the left hand dotplot represent? StatKey Sampling Distribution for a Mean Percent with Internet Access (Countries) ▾ Show Data Table Edit Data Choose samples of size n = 20 Upload File Change Column(s) Generate 1 Sample Generate 10 Samples Generate 100 Samples Generate 1000 Samples Reset Plot Sampling Dotplot of Mean Left Tail Two-Tail Right Tail 60 50 40 40 30 20 20 10 samples = 50 mean = 41.626 std. error = 5.089 : .: : :: 0 25 30 35 40 45 50 55 60 41.626 Data Plots Confidence Intervals 95%-> Confidence Intervals Coverage 48/50 = 96% 20 40 60 80 2. Circle the confidence intervals that failed to capture the true mean. 3. Circle the sample means that produced those…arrow_forwardExample 4 (Part 1) One of the datasets in the Lock book contains information about 215 countries of the world. One of the variables is the percentage of people in the country who have access to the internet. We have data for 203 of those countries. The plot on the right shows a dotplot of the data. 1. What are the cases? Population n = 203, mean = 43.024 median = 43.5, stdev = 29.259 20 2. What does each dot on the dotplot represent? 15 10 5 20 40 43.024 60 80 3. What type of data is do we collect from the cases, quantitative or categorical?arrow_forwardLet x be a random variable that represents the percentage of successful free throws a professional basketball player makes in a season. Let y be a random variable that represents the percentage of successful field goals a professional basketball player makes in a season. A random sample of n =6 professional basketball players gave the following information. x 63 79 70 80 84 87 y 46 49 45 55 57 58 Find Se. Round your answer to three decimal places.arrow_forward1. Define probability: 2. Define statistics:arrow_forwardResults of tossing a coin four times: H, H, H, H How many times is the Coin expected to come up heads? How did you determine this number? Calculate the % deviation. Can these results be used to conclude that a coin is not fair? Why or why not?arrow_forwardCycles to failure Position in ascending order 0.5 f(x)) (x;) Problem 44 Marsha, a renowned cake scientist, is trying to determine how long different cakes can survive intense fork attacks before collapsing into crumbs. To simulate real-world cake consumption, she designs a test where cakes are subjected to repeated fork stabs and bites, mimicking the brutal reality of birthday parties. After rigorous testing, Marsha records 10 observations of how many stabs each cake endured before structural failure. Construct P-P plots for (a.) a normal distribution, (b.) a lognormal distribution, and (c.) a Weibull distribution (using the information included in the table below). Which distribution seems to be the best model for the cycles to failure for this material? Explain your answer in detail. Observation Empirical cumulative Probability distribution Cumulative distribution Inverse of cumulative distribution F-1 (-0.5) F(x)) (S) n 4 3 1 0.05 9 5 2 0.15 7 7 3 0.25 1 10 4 0.35 3 12 5 0.45 Normal…arrow_forwardProblem 3 In their lab, engineer Daniel and Paulina are desperately trying to perfect time travel. But the problem is that their machine still struggles with power inconsistencies-sometimes generating too little energy, other times too much, causing unstable time jumps. To prevent catastrophic misjumps into the Jurassic era or the far future, they must calibrate the machine's power output. After extensive testing, they found that the time machine's power output follows a normal distribution, with an average energy level of 8.7 gigawatts and a standard deviation of 1.2 gigawatts. The Time Travel Safety Board has set strict guidelines: For a successful time jump, the machine's power must be between 8.5 and 9.5 gigawatts. What is the probability that a randomly selected time jump meets this precision requirement? Daniel suggests that adjusting the mean power output could improve time-travel accuracy. Can adjusting the mean reduce the number of dangerous misjumps? If yes, what should the…arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_iosRecommended textbooks for you
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