
Mathematical Statistics with Applications
7th Edition
ISBN: 9780495110811
Author: Dennis Wackerly, William Mendenhall, Richard L. Scheaffer
Publisher: Cengage Learning
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Chapter 3, Problem 194SE
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Consider an event X comprised of three outcomes whose probabilities are 9/18, 1/18,and 6/18.
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The details of the clock sales at a supermarket for the past 6 weeks are shown in the table below. The time series appears to be relatively stable, without trend, seasonal, or cyclical effects. The simple moving average value of k is set at 2. What is the simple moving average root mean square error? Round to two decimal places.
Week
Units sold
1
88
2
44
3
54
4
65
5
72
6
85
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Part 1
A.
207.13
B.
20.12
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14.39
D.
0.21
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
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- The details of the clock sales at a supermarket for the past 6 weeks are shown in the table below. The time series appears to be relatively stable, without trend, seasonal, or cyclical effects. The simple moving average value of k is set at 2. If the smoothing constant is assumed to be 0.7, and setting F1 and F2=A1, what is the exponential smoothing sales forecast for week 7? Round to the nearest whole number. Week Units sold 1 88 2 44 3 54 4 65 5 72 6 85 Question content area bottom Part 1 A. 80 clocks B. 60 clocks C. 70 clocks D. 50 clocksarrow_forwardThe details of the clock sales at a supermarket for the past 6 weeks are shown in the table below. The time series appears to be relatively stable, without trend, seasonal, or cyclical effects. The simple moving average value of k is set at 2. Calculate the value of the simple moving average mean absolute percentage error. Round to two decimal places. Week Units sold 1 88 2 44 3 54 4 65 5 72 6 85 Part 1 A. 14.39 B. 25.56 C. 23.45 D. 20.90arrow_forwardThe accompanying data shows the fossil fuels production, fossil fuels consumption, and total energy consumption in quadrillions of BTUs of a certain region for the years 1986 to 2015. Complete parts a and b. Year Fossil Fuels Production Fossil Fuels Consumption Total Energy Consumption1949 28.748 29.002 31.9821950 32.563 31.632 34.6161951 35.792 34.008 36.9741952 34.977 33.800 36.7481953 35.349 34.826 37.6641954 33.764 33.877 36.6391955 37.364 37.410 40.2081956 39.771 38.888 41.7541957 40.133 38.926 41.7871958 37.216 38.717 41.6451959 39.045 40.550 43.4661960 39.869 42.137 45.0861961 40.307 42.758 45.7381962 41.732 44.681 47.8261963 44.037 46.509 49.6441964 45.789 48.543 51.8151965 47.235 50.577 54.0151966 50.035 53.514 57.0141967 52.597 55.127 58.9051968 54.306 58.502 62.4151969 56.286…arrow_forward
- The accompanying data shows the fossil fuels production, fossil fuels consumption, and total energy consumption in quadrillions of BTUs of a certain region for the years 1986 to 2015. Complete parts a and b. Year Fossil Fuels Production Fossil Fuels Consumption Total Energy Consumption1949 28.748 29.002 31.9821950 32.563 31.632 34.6161951 35.792 34.008 36.9741952 34.977 33.800 36.7481953 35.349 34.826 37.6641954 33.764 33.877 36.6391955 37.364 37.410 40.2081956 39.771 38.888 41.7541957 40.133 38.926 41.7871958 37.216 38.717 41.6451959 39.045 40.550 43.4661960 39.869 42.137 45.0861961 40.307 42.758 45.7381962 41.732 44.681 47.8261963 44.037 46.509 49.6441964 45.789 48.543 51.8151965 47.235 50.577 54.0151966 50.035 53.514 57.0141967 52.597 55.127 58.9051968 54.306 58.502 62.4151969 56.286…arrow_forwardThe accompanying data shows the fossil fuels production, fossil fuels consumption, and total energy consumption in quadrillions of BTUs of a certain region for the years 1986 to 2015. Complete parts a and b. Develop line charts for each variable and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). What is the line chart for the variable Fossil Fuels Production?arrow_forwardThe accompanying data shows the fossil fuels production, fossil fuels consumption, and total energy consumption in quadrillions of BTUs of a certain region for the years 1986 to 2015. Complete parts a and b. Year Fossil Fuels Production Fossil Fuels Consumption Total Energy Consumption1949 28.748 29.002 31.9821950 32.563 31.632 34.6161951 35.792 34.008 36.9741952 34.977 33.800 36.7481953 35.349 34.826 37.6641954 33.764 33.877 36.6391955 37.364 37.410 40.2081956 39.771 38.888 41.7541957 40.133 38.926 41.7871958 37.216 38.717 41.6451959 39.045 40.550 43.4661960 39.869 42.137 45.0861961 40.307 42.758 45.7381962 41.732 44.681 47.8261963 44.037 46.509 49.6441964 45.789 48.543 51.8151965 47.235 50.577 54.0151966 50.035 53.514 57.0141967 52.597 55.127 58.9051968 54.306 58.502 62.4151969 56.286…arrow_forward
- For each of the time series, construct a line chart of the data and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). Month PercentApr 1972 4.97May 1972 5.00Jun 1972 5.04Jul 1972 5.25Aug 1972 5.27Sep 1972 5.50Oct 1972 5.73Nov 1972 5.75Dec 1972 5.79Jan 1973 6.00Feb 1973 6.02Mar 1973 6.30Apr 1973 6.61May 1973 7.01Jun 1973 7.49Jul 1973 8.30Aug 1973 9.23Sep 1973 9.86Oct 1973 9.94Nov 1973 9.75Dec 1973 9.75Jan 1974 9.73Feb 1974 9.21Mar 1974 8.85Apr 1974 10.02May 1974 11.25Jun 1974 11.54Jul 1974 11.97Aug 1974 12.00Sep 1974 12.00Oct 1974 11.68Nov 1974 10.83Dec 1974 10.50Jan 1975 10.05Feb 1975 8.96Mar 1975 7.93Apr 1975 7.50May 1975 7.40Jun 1975 7.07Jul 1975 7.15Aug 1975 7.66Sep 1975 7.88Oct 1975 7.96Nov 1975 7.53Dec 1975 7.26Jan 1976 7.00Feb 1976 6.75Mar 1976 6.75Apr 1976 6.75May 1976…arrow_forwardHi, I need to make sure I have drafted a thorough analysis, so please answer the following questions. Based on the data in the attached image, develop a regression model to forecast the average sales of football magazines for each of the seven home games in the upcoming season (Year 10). That is, you should construct a single regression model and use it to estimate the average demand for the seven home games in Year 10. In addition to the variables provided, you may create new variables based on these variables or based on observations of your analysis. Be sure to provide a thorough analysis of your final model (residual diagnostics) and provide assessments of its accuracy. What insights are available based on your regression model?arrow_forwardI want to make sure that I included all possible variables and observations. There is a considerable amount of data in the images below, but not all of it may be useful for your purposes. Are there variables contained in the file that you would exclude from a forecast model to determine football magazine sales in Year 10? If so, why? Are there particular observations of football magazine sales from previous years that you would exclude from your forecasting model? If so, why?arrow_forward
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