EBK PROBABILITY AND STATISTICS FOR ENGI
9th Edition
ISBN: 8220102958432
Author: DEVORE
Publisher: CENGAGE L
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Chapter 4, Problem 119SE
a.
To determine
Derive the
b.
To determine
Derive the probability density function of
c.
To determine
Find the
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John and Mike were offered mints. What is the probability that at least John or Mike would respond favorably? (Hint: Use the classical definition.)
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Part 1
A.1/2
B.3/4
C.1/8
D.3/8
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
Question content area bottom
Part 1
A.
207.13
B.
20.12
C.
14.39
D.
0.21
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 clocks
Chapter 4 Solutions
EBK PROBABILITY AND STATISTICS FOR ENGI
Ch. 4.1 - The current in a certain circuit as measured by an...Ch. 4.1 - Suppose the reaction temperature X (in C) in a...Ch. 4.1 - The error involved in making a certain measurement...Ch. 4.1 - Let X denote the vibratory stress (psi) on a wind...Ch. 4.1 - A college professor never finishes his lecture...Ch. 4.1 - The actual tracking weight of a stereo cartridge...Ch. 4.1 - The article Second Moment Reliability Evaluation...Ch. 4.1 - Prob. 8ECh. 4.1 - Based on an analysis of sample data, the article...Ch. 4.1 - A family of pdfs that has been used to approximate...
Ch. 4.2 - Let X denote the amount of time a book on two-hour...Ch. 4.2 - The cdf for X (= measurement error) of Exercise 3...Ch. 4.2 - Prob. 13ECh. 4.2 - The article Modeling Sediment and Water Column...Ch. 4.2 - Let X denote the amount of space occupied by an...Ch. 4.2 - The article A Model of Pedestrians Waiting Times...Ch. 4.2 - Let X have a uniform distribution on the interval...Ch. 4.2 - Let X denote the voltage at the output of a...Ch. 4.2 - Let X be a continuous rv with cdf...Ch. 4.2 - Consider the pdf for total waiting time Y for two...Ch. 4.2 - An ecologist wishes to mark off a circular...Ch. 4.2 - The weekly demand for propane gas (in 1000s of...Ch. 4.2 - If the temperature at which a certain compound...Ch. 4.2 - Let X have the Pareto pdf f(x;k,)={kkxk+1x0x...Ch. 4.2 - Let X be the temperature in C at which a certain...Ch. 4.2 - Let X be the total medical expenses (in 1000s of...Ch. 4.2 - Prob. 27ECh. 4.3 - Let Z be a standard normal random variable and...Ch. 4.3 - In each case, determine the value of the constant...Ch. 4.3 - Find the following percentiles for the standard...Ch. 4.3 - Determine z for the following values of : a. =...Ch. 4.3 - Suppose the force acting on a column that helps to...Ch. 4.3 - Mopeds (small motorcycles with an engine capacity...Ch. 4.3 - The article Reliability of Domestic-Waste Biofilm...Ch. 4.3 - In a road-paving process, asphalt mix is delivered...Ch. 4.3 - Spray drift is a constant concern for pesticide...Ch. 4.3 - Suppose that blood chloride concentration (mmol/L)...Ch. 4.3 - There are two machines available for cutting corks...Ch. 4.3 - The defect length of a corrosion defect in a...Ch. 4.3 - The article Monte Carlo SimulationTool for Better...Ch. 4.3 - The automatic opening device of a military cargo...Ch. 4.3 - The temperature reading from a thermocouple placed...Ch. 4.3 - Vehicle speed on a particular bridge in China can...Ch. 4.3 - If bolt thread length is normally distributed,...Ch. 4.3 - A machine that produces ball bearings has...Ch. 4.3 - The Rockwell hardness of a metal is determined by...Ch. 4.3 - The weight distribution of parcels sent in a...Ch. 4.3 - Suppose Appendix Table A.3 contained (z) only for...Ch. 4.3 - Consider babies born in the normal range of 3743...Ch. 4.3 - In response to concerns about nutritional contents...Ch. 4.3 - Chebyshevs inequality, (see Exercise 44, Chapter...Ch. 4.3 - Let X denote the number of flaws along a 100-m...Ch. 4.3 - Let X have a binomial distribution with parameters...Ch. 4.3 - Suppose that 10% of all steel shafts produced by a...Ch. 4.3 - Suppose only 75% of all drivers in a certain state...Ch. 4.3 - Show that the relationship between a general...Ch. 4.3 - a. Show that if X has a normal distribution with...Ch. 4.3 - There is no nice formula for the standard normal...Ch. 4.4 - Let X = the time between two successive arrivals...Ch. 4.4 - Let X denote the distance (m) that an animal moves...Ch. 4.4 - Data collected at Toronto Pearson International...Ch. 4.4 - The article Microwave Observations of Daily...Ch. 4.4 - A consumer is trying to decide between two...Ch. 4.4 - Evaluate the following: a. (6) b. (5/2) c. F(4; 5)...Ch. 4.4 - Let X denote the data transfer time (ms) in a grid...Ch. 4.4 - The two-parameter gamma distribution can be...Ch. 4.4 - Suppose that when a transistor of a certain type...Ch. 4.4 - The special case of the gamma distribution in...Ch. 4.4 - A system consists of five identical components...Ch. 4.4 - If X has an exponential distribution with...Ch. 4.4 - a. The event {X2 y} is equivalent to what event...Ch. 4.5 - The lifetime X (in hundreds of hours) of a certain...Ch. 4.5 - The authors of the article A Probabilistic...Ch. 4.5 - Prob. 74ECh. 4.5 - Let X have a Weibull distribution with the pdf...Ch. 4.5 - The article The Statistics of Phytotoxic Air...Ch. 4.5 - Prob. 77ECh. 4.5 - The article On Assessing the Accuracy of Offshore...Ch. 4.5 - Nonpoint source loads are chemical masses that...Ch. 4.5 - a. Use Equation (4.13) to write a formula for the...Ch. 4.5 - Sales delay is the elapsed time between the...Ch. 4.5 - As in the case of the Weibull and Gamma...Ch. 4.5 - What condition on and is necessary for the...Ch. 4.5 - Suppose the proportion X of surface area in a...Ch. 4.5 - Let X have a standard beta density with parameters...Ch. 4.5 - Stress is applied to a 20-in. steel bar that is...Ch. 4.6 - The accompanying normal probability plot was...Ch. 4.6 - A sample of 15 female collegiate golfers was...Ch. 4.6 - Prob. 89ECh. 4.6 - The article A Probabilistic Model of Fracture in...Ch. 4.6 - Construct a normal probability plot for the...Ch. 4.6 - The article The Load-Life Relationship for M50...Ch. 4.6 - Prob. 93ECh. 4.6 - The accompanying observations are precipitation...Ch. 4.6 - Use a statistical software package to construct a...Ch. 4.6 - Prob. 96ECh. 4.6 - The following failure time observations (1000s of...Ch. 4 - Let X = the time it takes a read/write head to...Ch. 4 - Prob. 99SECh. 4 - Let X denote the time to failure (in years) of a...Ch. 4 - The completion time X for a certain task has cdf...Ch. 4 - Let X represent the number of individuals who...Ch. 4 - The article Computer Assisted Net Weight...Ch. 4 - When circuit boards used in the manufacture of...Ch. 4 - Prob. 105SECh. 4 - The reaction time (in seconds) to a certain...Ch. 4 - Let X denote the temperature at which a certain...Ch. 4 - An oocyte is a female germ cell involved in...Ch. 4 - Prob. 109SECh. 4 - Prob. 110SECh. 4 - Prob. 111SECh. 4 - The article Error Distribution in Navigation (J....Ch. 4 - Prob. 113SECh. 4 - Suppose a particular state allows individuals...Ch. 4 - Let Ii be the input current to a transistor and I0...Ch. 4 - Prob. 116SECh. 4 - Prob. 117SECh. 4 - a. Suppose the lifetime X of a component, when...Ch. 4 - Prob. 119SECh. 4 - Prob. 120SECh. 4 - The article Three Sisters Give Birth on the Same...Ch. 4 - Let X denote the lifetime of a component, with f...Ch. 4 - Prob. 123SECh. 4 - Prob. 124SECh. 4 - A function g(x) is convex if the chord connecting...Ch. 4 - Let X have a Weibull distribution with parameters ...Ch. 4 - An individuals credit score is a number calculated...Ch. 4 - Prob. 128SE
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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. 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_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. 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_forwardFor 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_forward
- Hi, 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_forwardStat questionsarrow_forward
- 1) and let Xt is stochastic process with WSS and Rxlt t+t) 1) E (X5) = \ 1 2 Show that E (X5 = X 3 = 2 (= = =) Since X is WSSEL 2 3) find E(X5+ X3)² 4) sind E(X5+X2) J=1 ***arrow_forwardProve that 1) | RxX (T) | << = (R₁ " + R$) 2) find Laplalse trans. of Normal dis: 3) Prove thy t /Rx (z) | < | Rx (0)\ 4) show that evary algebra is algebra or not.arrow_forwardFor 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 Number (Thousands)Dec 1991 65.60Jan 1992 71.60Feb 1992 78.80Mar 1992 111.60Apr 1992 107.60May 1992 115.20Jun 1992 117.80Jul 1992 106.20Aug 1992 109.90Sep 1992 106.00Oct 1992 111.80Nov 1992 84.50Dec 1992 78.60Jan 1993 70.50Feb 1993 74.60Mar 1993 95.50Apr 1993 117.80May 1993 120.90Jun 1993 128.50Jul 1993 115.30Aug 1993 121.80Sep 1993 118.50Oct 1993 123.30Nov 1993 102.30Dec 1993 98.70Jan 1994 76.20Feb 1994 83.50Mar 1994 134.30Apr 1994 137.60May 1994 148.80Jun 1994 136.40Jul 1994 127.80Aug 1994 139.80Sep 1994 130.10Oct 1994 130.60Nov 1994 113.40Dec 1994 98.50Jan 1995 84.50Feb 1995 81.60Mar 1995 103.80Apr 1995 116.90May 1995 130.50Jun 1995 123.40Jul 1995 129.10Aug 1995…arrow_forward
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