APPLIED STAT.IN BUS.+ECONOMICS
6th Edition
ISBN: 9781259957598
Author: DOANE
Publisher: RENT MCG
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Chapter 3, Problem 14CR
What is a pivot table? Why is it useful?
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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.
20.90
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…
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…
Chapter 3 Solutions
APPLIED STAT.IN BUS.+ECONOMICS
Ch. 3.1 - (a) Make a stem-and-leaf plot for these 24...Ch. 3.1 - (a) Make a stem-and-leaf plot for the number of...Ch. 3.1 - (a) Make a stacked dot plot to compare the lengths...Ch. 3.2 - (a) The table shows the number of days on the...Ch. 3.2 - (a) The table shows raw scores on a state civil...Ch. 3.2 - (a) Make a frequency distribution and histogram...Ch. 3.2 - (a) Make a frequency distribution and histogram...Ch. 3.2 - (a) Make a frequency distribution and histogram...Ch. 3.2 - For each frequency distribution, suggest nice...Ch. 3.2 - Below are sorted data showing average spending per...
Ch. 3.4 - (a) Use Excel to prepare a line chart to display...Ch. 3.4 - Prob. 12SECh. 3.4 - Prob. 13SECh. 3.4 - (a) Use Excel to prepare a line chart to display...Ch. 3.5 - Prob. 15SECh. 3.5 - The table shows the number of TVs sold by a major...Ch. 3.6 - (a) Use Excel to prepare a 2-D pie chart for these...Ch. 3.6 - Prob. 19SECh. 3.6 - Prob. 20SECh. 3.7 - (a) Use Excel to make a scatter plot of the data...Ch. 3.7 - Prob. 22SECh. 3.7 - Prob. 23SECh. 3.7 - (a) Use Excel to make a scatter plot of the data,...Ch. 3 - Name two attractive features and two limitations...Ch. 3 - (a) What is a frequency distribution? (b) What are...Ch. 3 - (a) What is a histogram? (b) What does it show?Ch. 3 - (a) What is a bimodal histogram? (b) Explain the...Ch. 3 - (a) What is a scatter plot? (b) What do scatter...Ch. 3 - For what kind of data would we use a bar chart?...Ch. 3 - For what kind of data would we use a line chart?...Ch. 3 - (a) List the three most common types of charts in...Ch. 3 - (a) For what kind of data would we use a pie...Ch. 3 - Which types of charts can be used for time series...Ch. 3 - (a) When might we need a log scale? (b) What do...Ch. 3 - When might we use a stacked column chart? An area...Ch. 3 - List five deceptive graphical techniques.Ch. 3 - What is a pivot table? Why is it useful?Ch. 3 - The durations (minutes) of 26 electric power...Ch. 3 - The U.S. Postal Service will ship a Priority Mail,...Ch. 3 - A study of 40 U.S. cardiac care centers showed the...Ch. 3 - Prob. 28CECh. 3 - An executives telephone log showed the following...Ch. 3 - Below are batting averages of the New York Yankees...Ch. 3 - Prob. 31CECh. 3 - Prob. 32CECh. 3 - Download the full data set from the McGraw-Hill...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - Prob. 38CECh. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - Prob. 41CECh. 3 - Prob. 42CECh. 3 - (a) Use Excel to prepare an appropriate type of...Ch. 3 - Prob. 44CECh. 3 - Prob. 45CECh. 3 - (a) Use Excel to prepare an appropriate type of...Ch. 3 - Prob. 47CECh. 3 - (a) Use Excel to prepare an appropriate type of...
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- 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
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