Mathematical Statistics with Applications
7th Edition
ISBN: 9780495110811
Author: Dennis Wackerly, William Mendenhall, Richard L. Scheaffer
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Question
Chapter 3.9, Problem 145E
To determine
Show that moment-generating
Expert Solution & Answer
Trending nowThis is a popular solution!
Students have asked these similar questions
Selon une économiste d’une société financière, les dépenses moyennes pour « meubles et appareils de maison » ont été moins importantes pour les ménages de la région de Montréal, que celles de la région de Québec.
Un échantillon aléatoire de 14 ménages pour la région de Montréal et de 16 ménages pour la région Québec est tiré et donne les données suivantes, en ce qui a trait aux dépenses pour ce secteur d’activité économique.
On suppose que les données de chaque population sont distribuées selon une loi normale.
Nous sommes intéressé à connaitre si les variances des populations sont égales.a) Faites le test d’hypothèse sur deux variances approprié au seuil de signification de 1 %. Inclure les informations suivantes :
i. Hypothèse / Identification des populationsii. Valeur(s) critique(s) de Fiii. Règle de décisioniv. Valeur du rapport Fv. Décision et conclusion
b) A partir des résultats obtenus en a), est-ce que l’hypothèse d’égalité des variances pour cette…
According to an economist from a financial company, the average expenditures on "furniture and household appliances" have been lower for households in the Montreal area than those in the Quebec region.
A random sample of 14 households from the Montreal region and 16 households from the Quebec region was taken, providing the following data regarding expenditures in this economic sector.
It is assumed that the data from each population are distributed normally.
We are interested in knowing if the variances of the populations are equal. a) Perform the appropriate hypothesis test on two variances at a significance level of 1%. Include the following information:
i. Hypothesis / Identification of populations ii. Critical F-value(s) iii. Decision rule iv. F-ratio value v. Decision and conclusion
b) Based on the results obtained in a), is the hypothesis of equal variances for this socio-economic characteristic measured in these two populations upheld?
c) Based on the results obtained in a),…
A major company in the Montreal area, offering a range of engineering services from project preparation to construction execution, and industrial project management, wants to ensure that the individuals who are responsible for project cost estimation and bid preparation demonstrate a certain uniformity in their estimates. The head of civil engineering and municipal services decided to structure an experimental plan to detect if there could be significant differences in project evaluation.
Seven projects were selected, each of which had to be evaluated by each of the two estimators, with the order of the projects submitted being random. The obtained estimates are presented in the table below.
a) Complete the table above by calculating: i. The differences (A-B) ii. The sum of the differences iii. The mean of the differences iv. The standard deviation of the differences
b) What is the value of the t-statistic?
c) What is the critical t-value for this test at a significance level of 1%?…
Chapter 3 Solutions
Mathematical Statistics with Applications
Ch. 3.2 - When the health department tested private wells in...Ch. 3.2 - You and a friend play a game where you each toss a...Ch. 3.2 - A group of four components is known to contain two...Ch. 3.2 - Consider a system of water flowing through valves...Ch. 3.2 - A problem in a test given to small children asks...Ch. 3.2 - Five balls, numbered 1, 2, 3, 4, and 5, are placed...Ch. 3.2 - Each of three balls are randomly placed into one...Ch. 3.2 - A single cell can either die, with probability .1,...Ch. 3.2 - In order to verify the accuracy of their financial...Ch. 3.2 - A rental agency, which leases heavy equipment by...
Ch. 3.2 - Persons entering a blood bank are such that 1 in 3...Ch. 3.3 - Let Y be a random variable with p(y) given in the...Ch. 3.3 - Refer to the coin-tossing game in Exercise 3.2....Ch. 3.3 - The maximum patent life for a new drug is 17...Ch. 3.3 - Who is the king of late night TV? An Internet...Ch. 3.3 - Prob. 16ECh. 3.3 - Refer to Exercise 3.7. Find the mean and standard...Ch. 3.3 - Refer to Exercise 3.8. What is the mean number of...Ch. 3.3 - An insurance company issues a one-year 1000...Ch. 3.3 - A manufacturing company ships its product in two...Ch. 3.3 - The number N of residential homes that a fire...Ch. 3.3 - A single fair die is tossed once. Let Y be the...Ch. 3.3 - In a gambling game a person draws a single card...Ch. 3.3 - Approximately 10% of the glass bottles coming off...Ch. 3.3 - Two construction contracts are to be randomly...Ch. 3.3 - A heavy-equipment salesperson can contact either...Ch. 3.3 - A potential customer for an 85,000 fire insurance...Ch. 3.3 - Refer to Exercise 3.3. If the cost of testing a...Ch. 3.3 - If Y is a discrete random variable that assigns...Ch. 3.3 - Suppose that Y is a discrete random variable with...Ch. 3.3 - Suppose that Y is a discrete random variable with...Ch. 3.3 - Suppose that Y is a discrete random variable with...Ch. 3.3 - Let Y be a discrete random variable with mean and...Ch. 3.3 - The manager of a stockroom in a factory has...Ch. 3.4 - Consider the population of voters described in...Ch. 3.4 - a. A meteorologist in Denver recorded Y = the...Ch. 3.4 - In 2003, the average combined SAT score (math and...Ch. 3.4 - The manufacturer of a low-calorie dairy drink...Ch. 3.4 - A complex electronic system is built with a...Ch. 3.4 - The probability that a patient recovers from a...Ch. 3.4 - A multiple-choice examination has 15 questions,...Ch. 3.4 - Refer to Exercise 3.41. What is the probability...Ch. 3.4 - Many utility companies promote energy conservation...Ch. 3.4 - Prob. 44ECh. 3.4 - A fire-detection device utilizes three...Ch. 3.4 - Prob. 46ECh. 3.4 - Use Table 1, Appendix 3, to construct a...Ch. 3.4 - A missile protection system consists of n radar...Ch. 3.4 - A manufacturer of floor wax has developed two new...Ch. 3.4 - In Exercise 2.151, you considered a model for the...Ch. 3.4 - In the 18th century, the Chevalier de Mere asked...Ch. 3.4 - Prob. 52ECh. 3.4 - Tay-Sachs disease is a genetic disorder that is...Ch. 3.4 - Suppose that Y is a binomial random variable based...Ch. 3.4 - Suppose that Y is a binomial random variable with...Ch. 3.4 - An oil exploration firm is formed with enough...Ch. 3.4 - Refer to Exercise 3.56. Suppose the firm has a...Ch. 3.4 - A particular sale involves four items randomly...Ch. 3.4 - Ten motors are packaged for sale in a certain...Ch. 3.4 - A particular concentration of a chemical found in...Ch. 3.4 - Of the volunteers donating blood in a clinic, 80%...Ch. 3.4 - Prob. 62ECh. 3.4 - Consider the binomial distribution with n trials...Ch. 3.4 - Prob. 64ECh. 3.4 - Prob. 65ECh. 3.5 - Suppose that Y is a random variable with a...Ch. 3.5 - Suppose that 30% of the applicants for a certain...Ch. 3.5 - Refer to Exercise 3.67. What is the expected...Ch. 3.5 - About six months into George W. Bushs second term...Ch. 3.5 - An oil prospector will drill a succession of holes...Ch. 3.5 - Prob. 71ECh. 3.5 - Prob. 72ECh. 3.5 - A certified public accountant (CPA) has found that...Ch. 3.5 - Refer to Exercise 3.73. What are the mean and...Ch. 3.5 - The probability of a customer arrival at a grocery...Ch. 3.5 - Prob. 76ECh. 3.5 - If Y has a geometric distribution with success...Ch. 3.5 - Of a population of consumers, 60% are reputed to...Ch. 3.5 - In responding to a survey question on a sensitive...Ch. 3.5 - Two people took turns tossing a fair die until one...Ch. 3.5 - How many times would you expect to toss a balanced...Ch. 3.5 - Refer to Exercise 3.70. The prospector drills...Ch. 3.5 - The secretary in Exercises 2.121 and 3.16 was...Ch. 3.5 - Refer to Exercise 3.83. Find the mean and the...Ch. 3.5 - Find E[Y(Y 1)] for a geometric random variable Y...Ch. 3.5 - Prob. 86ECh. 3.5 - Prob. 87ECh. 3.5 - If Y is a geometric random variable, define Y = Y ...Ch. 3.5 - Prob. 89ECh. 3.6 - The employees of a firm that manufactures...Ch. 3.6 - Refer to Exercise 3.90. If each test costs 20,...Ch. 3.6 - Ten percent of the engines manufactured on an...Ch. 3.6 - Refer to Exercise 3.92. What is the probability...Ch. 3.6 - Refer to Exercise 3.92. Find the mean and variance...Ch. 3.6 - Refer to Exercise 3.92. Given that the first two...Ch. 3.6 - The telephone lines serving an airline reservation...Ch. 3.6 - A geological study indicates that an exploratory...Ch. 3.6 - Prob. 98ECh. 3.6 - In a sequence of independent identical trials with...Ch. 3.6 - If Y is a negative binomial random variable,...Ch. 3.6 - Prob. 101ECh. 3.7 - An urn contains ten marbles, of which five are...Ch. 3.7 - A warehouse contains ten printing machines, four...Ch. 3.7 - Twenty identical looking packets of white power...Ch. 3.7 - In southern California, a growing number of...Ch. 3.7 - Refer to Exercise 3.103. The company repairs the...Ch. 3.7 - A group of six software packages available to...Ch. 3.7 - A shipment of 20 cameras includes 3 that are...Ch. 3.7 - Seed are often treated with fungicides to protect...Ch. 3.7 - A corporation is sampling without replacement for...Ch. 3.7 - Prob. 111ECh. 3.7 - Used photocopy machines are returned to the...Ch. 3.7 - A jury of 6 persons was selected from a group of...Ch. 3.7 - Refer to Exercise 3.113. If the selection process...Ch. 3.7 - Suppose that a radio contains six transistors, two...Ch. 3.7 - In an assembly-line production of industrial...Ch. 3.7 - Five cards are dealt at random and without...Ch. 3.7 - Cards are dealt at random and without replacement...Ch. 3.8 - Let Y denote a random variable that has a Poisson...Ch. 3.8 - Customers arrive at a checkout counter in a...Ch. 3.8 - The random variable Y has a Poisson distribution...Ch. 3.8 - Approximately 4% of silicon wafers produced by a...Ch. 3.8 - Refer to Exercise 3.122. If it takes approximately...Ch. 3.8 - Refer to Exercise 3.122. Assume that arrivals...Ch. 3.8 - The number of typing errors made by a typist has a...Ch. 3.8 - Cars arrive at a toll both according to a Poisson...Ch. 3.8 - Refer to Exercise 3.128. How long can the...Ch. 3.8 - A parking lot has two entrances. Cars arrive at...Ch. 3.8 - The number of knots in a particular type of wood...Ch. 3.8 - The mean number of automobiles entering a mountain...Ch. 3.8 - Assume that the tunnel in Exercise 3.132 is...Ch. 3.8 - Consider a binomial experiment for n = 20, p =...Ch. 3.8 - A salesperson has found that the probability of a...Ch. 3.8 - Increased research and discussion have focused on...Ch. 3.8 - The probability that a mouse inoculated with a...Ch. 3.8 - Let Y have a Poisson distribution with mean . Find...Ch. 3.8 - In the daily production of a certain kind of rope,...Ch. 3.8 - Prob. 140ECh. 3.8 - A food manufacturer uses an extruder (a machine...Ch. 3.8 - Prob. 142ECh. 3.8 - Refer to Exercise 3.142 (c). If the number of...Ch. 3.8 - Prob. 144ECh. 3.9 - Prob. 145ECh. 3.9 - Differentiate the moment-generating function in...Ch. 3.9 - Prob. 147ECh. 3.9 - Prob. 148ECh. 3.9 - Refer to Exercise 3.145. Use the uniqueness of...Ch. 3.9 - Refer to Exercise 3.147. Use the uniqueness of...Ch. 3.9 - Refer to Exercise 3.145. If Y has...Ch. 3.9 - Prob. 152ECh. 3.9 - Find the distributions of the random variables...Ch. 3.9 - Refer to Exercise 3.153. By inspection, give the...Ch. 3.9 - Let m(t)=(1/6)et+(2/6)e2t+(3/6)e3t. Find the...Ch. 3.9 - Suppose that Y is a random variable with...Ch. 3.9 - Refer to Exercise 3.156. a If W = 3Y, use the...Ch. 3.9 - Prob. 158ECh. 3.9 - Prob. 159ECh. 3.9 - Suppose that Y is a binomial random variable based...Ch. 3.9 - Prob. 161ECh. 3.9 - Prob. 162ECh. 3.9 - Prob. 163ECh. 3.10 - Prob. 164ECh. 3.10 - Prob. 165ECh. 3.10 - Prob. 166ECh. 3.11 - Let Y be a random variable with mean 11 and...Ch. 3.11 - Would you rather take a multiple-choice test or a...Ch. 3.11 - This exercise demonstrates that, in general, the...Ch. 3.11 - Prob. 170ECh. 3.11 - Prob. 171ECh. 3.11 - Prob. 172ECh. 3.11 - A balanced coin is tossed three times. Let Y equal...Ch. 3.11 - Prob. 174ECh. 3.11 - Prob. 175ECh. 3.11 - Prob. 176ECh. 3.11 - For a certain section of a pine forest, the number...Ch. 3.11 - Prob. 178ECh. 3.11 - Refer to Exercise 3.91. In this exercise, we...Ch. 3 - Prob. 180SECh. 3 - Prob. 181SECh. 3 - Prob. 182SECh. 3 - Prob. 183SECh. 3 - A city commissioner claims that 80% of the people...Ch. 3 - Prob. 185SECh. 3 - Refer to Exercises 3.67 and 3.68. Let Y denote the...Ch. 3 - Consider the following game: A player throws a...Ch. 3 - Prob. 188SECh. 3 - Prob. 189SECh. 3 - Toss a balanced die and let Y be the number of...Ch. 3 - Two assembly lines I and II have the same rate of...Ch. 3 - Prob. 194SECh. 3 - The number of imperfections in the weave of a...Ch. 3 - Refer to Exercise 3.195. The cost of repairing the...Ch. 3 - The number of bacteria colonies of a certain type...Ch. 3 - Prob. 198SECh. 3 - Insulin-dependent diabetes (IDD) is a common...Ch. 3 - Prob. 200SECh. 3 - Prob. 201SECh. 3 - The number of cars driving past a parking area in...Ch. 3 - Prob. 203SECh. 3 - The probability that any single driver will turn...Ch. 3 - An experiment consists of tossing a fair die until...Ch. 3 - Accident records collected by an automobile...Ch. 3 - Prob. 207SECh. 3 - Prob. 208SECh. 3 - Prob. 209SECh. 3 - Prob. 210SECh. 3 - A merchant stocks a certain perishable item. She...Ch. 3 - Prob. 212SECh. 3 - A lot of N = 100 industrial products contains...Ch. 3 - For simplicity, let us assume that there are two...Ch. 3 - Prob. 216SECh. 3 - Prob. 217SECh. 3 - Prob. 218SE
Knowledge Booster
Similar questions
- Compute the relative risk of falling for the two groups (did not stop walking vs. did stop). State/interpret your result verbally.arrow_forwardMicrosoft Excel include formulasarrow_forwardQuestion 1 The data shown in Table 1 are and R values for 24 samples of size n = 5 taken from a process producing bearings. The measurements are made on the inside diameter of the bearing, with only the last three decimals recorded (i.e., 34.5 should be 0.50345). Table 1: Bearing Diameter Data Sample Number I R Sample Number I R 1 34.5 3 13 35.4 8 2 34.2 4 14 34.0 6 3 31.6 4 15 37.1 5 4 31.5 4 16 34.9 7 5 35.0 5 17 33.5 4 6 34.1 6 18 31.7 3 7 32.6 4 19 34.0 8 8 33.8 3 20 35.1 9 34.8 7 21 33.7 2 10 33.6 8 22 32.8 1 11 31.9 3 23 33.5 3 12 38.6 9 24 34.2 2 (a) Set up and R charts on this process. Does the process seem to be in statistical control? If necessary, revise the trial control limits. [15 pts] (b) If specifications on this diameter are 0.5030±0.0010, find the percentage of nonconforming bearings pro- duced by this process. Assume that diameter is normally distributed. [10 pts] 1arrow_forward
- 4. (5 pts) Conduct a chi-square contingency test (test of independence) to assess whether there is an association between the behavior of the elderly person (did not stop to talk, did stop to talk) and their likelihood of falling. Below, please state your null and alternative hypotheses, calculate your expected values and write them in the table, compute the test statistic, test the null by comparing your test statistic to the critical value in Table A (p. 713-714) of your textbook and/or estimating the P-value, and provide your conclusions in written form. Make sure to show your work. Did not stop walking to talk Stopped walking to talk Suffered a fall 12 11 Totals 23 Did not suffer a fall | 2 Totals 35 37 14 46 60 Tarrow_forwardQuestion 2 Parts manufactured by an injection molding process are subjected to a compressive strength test. Twenty samples of five parts each are collected, and the compressive strengths (in psi) are shown in Table 2. Table 2: Strength Data for Question 2 Sample Number x1 x2 23 x4 x5 R 1 83.0 2 88.6 78.3 78.8 3 85.7 75.8 84.3 81.2 78.7 75.7 77.0 71.0 84.2 81.0 79.1 7.3 80.2 17.6 75.2 80.4 10.4 4 80.8 74.4 82.5 74.1 75.7 77.5 8.4 5 83.4 78.4 82.6 78.2 78.9 80.3 5.2 File Preview 6 75.3 79.9 87.3 89.7 81.8 82.8 14.5 7 74.5 78.0 80.8 73.4 79.7 77.3 7.4 8 79.2 84.4 81.5 86.0 74.5 81.1 11.4 9 80.5 86.2 76.2 64.1 80.2 81.4 9.9 10 75.7 75.2 71.1 82.1 74.3 75.7 10.9 11 80.0 81.5 78.4 73.8 78.1 78.4 7.7 12 80.6 81.8 79.3 73.8 81.7 79.4 8.0 13 82.7 81.3 79.1 82.0 79.5 80.9 3.6 14 79.2 74.9 78.6 77.7 75.3 77.1 4.3 15 85.5 82.1 82.8 73.4 71.7 79.1 13.8 16 78.8 79.6 80.2 79.1 80.8 79.7 2.0 17 82.1 78.2 18 84.5 76.9 75.5 83.5 81.2 19 79.0 77.8 20 84.5 73.1 78.2 82.1 79.2 81.1 7.6 81.2 84.4 81.6 80.8…arrow_forwardName: Lab Time: Quiz 7 & 8 (Take Home) - due Wednesday, Feb. 26 Contingency Analysis (Ch. 9) In lab 5, part 3, you will create a mosaic plot and conducted a chi-square contingency test to evaluate whether elderly patients who did not stop walking to talk (vs. those who did stop) were more likely to suffer a fall in the next six months. I have tabulated the data below. Answer the questions below. Please show your calculations on this or a separate sheet. Did not stop walking to talk Stopped walking to talk Totals Suffered a fall Did not suffer a fall Totals 12 11 23 2 35 37 14 14 46 60 Quiz 7: 1. (2 pts) Compute the odds of falling for each group. Compute the odds ratio for those who did not stop walking vs. those who did stop walking. Interpret your result verbally.arrow_forward
- Solve please and thank you!arrow_forward7. In a 2011 article, M. Radelet and G. Pierce reported a logistic prediction equation for the death penalty verdicts in North Carolina. Let Y denote whether a subject convicted of murder received the death penalty (1=yes), for the defendant's race h (h1, black; h = 2, white), victim's race i (i = 1, black; i = 2, white), and number of additional factors j (j = 0, 1, 2). For the model logit[P(Y = 1)] = a + ß₁₂ + By + B²², they reported = -5.26, D â BD = 0, BD = 0.17, BY = 0, BY = 0.91, B = 0, B = 2.02, B = 3.98. (a) Estimate the probability of receiving the death penalty for the group most likely to receive it. [4 pts] (b) If, instead, parameters used constraints 3D = BY = 35 = 0, report the esti- mates. [3 pts] h (c) If, instead, parameters used constraints Σ₁ = Σ₁ BY = Σ; B = 0, report the estimates. [3 pts] Hint the probabilities, odds and odds ratios do not change with constraints.arrow_forwardSolve please and thank you!arrow_forward
- Solve please and thank you!arrow_forwardQuestion 1:We want to evaluate the impact on the monetary economy for a company of two types of strategy (competitive strategy, cooperative strategy) adopted by buyers.Competitive strategy: strategy characterized by firm behavior aimed at obtaining concessions from the buyer.Cooperative strategy: a strategy based on a problem-solving negotiating attitude, with a high level of trust and cooperation.A random sample of 17 buyers took part in a negotiation experiment in which 9 buyers adopted the competitive strategy, and the other 8 the cooperative strategy. The savings obtained for each group of buyers are presented in the pdf that i sent: For this problem, we assume that the samples are random and come from two normal populations of unknown but equal variances.According to the theory, the average saving of buyers adopting a competitive strategy will be lower than that of buyers adopting a cooperative strategy.a) Specify the population identifications and the hypotheses H0 and H1…arrow_forwardYou assume that the annual incomes for certain workers are normal with a mean of $28,500 and a standard deviation of $2,400. What’s the chance that a randomly selected employee makes more than $30,000?What’s the chance that 36 randomly selected employees make more than $30,000, on average?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage