Solution Manual for Statistics for Management and Economics, Abbreviated, 11th Edition
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Chapter 1 1.2 Descriptive techniques summarize data. Inferential techniques draw inferences about a population based on sample data. 1.3 a The population is the 25,000 registered voters. b The sample is the 200 registered voters. c The 48% figure is the s tatistic 1.4 a The population is the complete production run. b The sample is comprised of the 1,000 chips. c The parameter is the proportion of defective chips in the production run. d The statistic is the proportion of defective chips in the sample. e The 10% figure refers to the parameter. f The 7.5% figure refers to the s tatistic . g We can estimate the population proportion is 7.5%. Statistical inference methods will allow us to determine whether we have enough statistical evidence to reject the claim. as the sample proportion. 1.5 Draw a random sample from the population of graduates who have majored in your subject and a random sample of graduates of other majors and record their highest salary offers. 1.6 a Flip the coin (say 100 times ) and record the number of heads (assuming that you are interested in the number of heads) . b The population is composed of the theoretical result of flipping the coin an infinite number of times and recording either “heads” or “tails”. c The sample is comprised of the “heads” and “tails” in the sample. d The parameter is the proportion of heads (again assuming that your interest is the number of heads rather than tails) in the population. e The statistic is the proportion of heads (or tails depending on the choice made in part d). f The sample statistic can be used to judge whether the coin is actually fair. 1.7 a We would conclude that the coin is not fair. b We may conclude that there is some evidence that the coin is not fair. 1.8 a The population is made up of the propane mileage of all the cars in the fleet. b The parameter is the mean propane mileage of all the cars in the fleet. c The sample is composed of the propane mileage of the 50 cars.
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d The statistic is the mean propane mileage of the 50 cars in the sample. e We can use the samp le statistic to estimate the population parameter.
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5 Chapter 2 2.1 Nominal: Occupation, undergraduate major. Ordinal: Rating of university professor, Taste test ratings. Interval: age, income 2.2 a Interval b Interval c Nominal d Ordinal 2.3 a Interval b Nominal c Ordinal d Interval e Interval 2.4 a Nominal b Interval c Nominal d Interval e Ordinal 2.5 a Interval b Interval c Nominal d Interval e Nominal 2.6 a Interval b Interval c Nominal d Ordinal e Interval 2.7 a Interval b Nominal c. Nominal
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6 d Interval e Interval f Ordinal 2.8 a Interval b Ordinal c Nominal d Ordinal 2.9 a Interval b Nominal c Nominal 2.10 a Ordinal b Ordinal c Ordinal 2.11 a Nominal b Interval c Ordinal 2.12a Nominal b Interval c Interval d Interval 2.13
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7 2.14 2.15 0 50,00,00,00,000 1,00,00,00,00,000 1,50,00,00,00,000 2,00,00,00,00,000 2,50,00,00,00,000 3,00,00,00,00,000 3,50,00,00,00,000 Brazil , 1.0% Canada , 11.0% China , 1.6% Iran , 10.1% Iraq , 9.2% Kazakhstan , 1.9% Kuwait , 6.7% Libya , 3.1% Nigeria , 2.4% Qatar , 1.6% Russia , 6.6% Saudi Arabia , 17.2% United Arab Emirates , 6.3% United States , 2.3% Venezuela , 19.1% Percentage
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8 2.16 2.17 0 20,00,000 40,00,000 60,00,000 80,00,000 1,00,00,000 1,20,00,000 1,40,00,000 1,60,00,000 1,80,00,000 2,00,00,000 Australia Brazil Canada China France Germany India Indonesia Iran Italy Japan Mexico Russia Saudi Arabia Singapore South Korea Spain Thailand United Kingdom United States Gasoline 51% Distillate fuel oil 15% Jet fuel 13% Still gas 5% Marketable coke 5% Residual fuel oil 3% Liquified refinery gas 3% Asphalt and road oil 2% Lubricants 1% Other 2%
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9 2. 18 2. 19 0 10,00,00,00,00,000 20,00,00,00,00,000 30,00,00,00,00,000 40,00,00,00,00,000 50,00,00,00,00,000 60,00,00,00,00,000 Australia Brazil Canada China European Union France Germany India Italy Japan Korea, South Mexico Russia Saudi Arabia South Africa Spain Taiwan Turkey United Kingdom United States 417.7 541.0 7706.8 765.6 1591.1 528.6 407.9 1098.0 528.1 443.6 1556.7 438.2 451.2 519.9 5424.5 0.0 1000.0 2000.0 3000.0 4000.0 5000.0 6000.0 7000.0 8000.0 9000.0
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10 2.20 2.21 0.0 100.0 200.0 300.0 400.0 500.0 600.0 700.0 800.0 900.0 Steel production 0 2,00,00,00,00,000 4,00,00,00,00,000 6,00,00,00,00,000 8,00,00,00,00,000 10,00,00,00,00,000 12,00,00,00,00,000
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11 2.22 2.23 Organic , 45.8% Paper , 17.2% Plastic , 10.3% Glass , 5.1% Metal , 4.1% Other , 17.5% 0 500 1000 1500 2000 2500 3000 3500
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12 2.24 2.25 0 10,000 20,000 30,000 40,000 50,000 60,000 0 20 40 60 80 100 120 Apples Apricots Avocados Bananas Cherries Dates Grapefruits Grapes Kiwi Fruit Lemons & Limes Mangoes Oranges Papayas Peaches & Nectarines Pears Persimmons Pineapples Plantains Plums and Sloes Strawberries Tangerines
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13 2.26 10.20 10.45 10.20 10.70 11.25 10.55 10.30 10.60 10.50 10.50 9.60 9.80 10.00 10.20 10.40 10.60 10.80 11.00 11.20 11.40 Minimum wage 2.20% 5.60% 3.30% 4.90% 11.70% 5.90% 7.00% 5.60% 6.00% 5.90% 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00% Percent Earning Minimum Wage
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14 2.27 2.28 Location 39% Majors 22% Academic reputation 10% Career focus 16% Community 5% Number of students 8% Consumer guide 52% Dealership 28% Word of mouth 12% Internet 8%
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15 The basement is the top choice followed by kitchen, bathroom, bedroom, and living/dining room. 2. 29 a Newspaper Frequency Relative Frequency Daily News 141 39.2% Post 128 35.6% Times 32 8.9% WSJ 59 16.4% b The Daily News and the Post dominate the market Basement 32% Bathroom 23% Bedroom 9% Kitchen 27% Living/dining room 9% New York Daily News 39% New York Post 36% New York Times 9% Wall Street Journal 16%
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16 2. 3 0 a Degree Frequency BA 88 BBA 37 B Eng 51 B Sc 24 Other 30 b. c d. About 4 applicants in 10 have the B A degree, about one - fifth have a B Eng . and one - six th have a B BA . 88 37 51 24 30 0 10 20 30 40 50 60 70 80 90 100 BA BBA Beng BSc Other B.A. 38% B.B.A. 16% B.Eng 22% B.Sc. 11% Other 13%
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17 2.3 1 a b c Dell is most popular with 40% proportion, followed by other, 26%, HP , 21% and Lenovo , 13%. 2. 3 2 a Software Frequency Excel 34 Minitab 17 SAS 3 SPSS 4 Other 12 b 21 13 39 25 0 5 10 15 20 25 30 35 40 45 HP Lenovo Dell Other HP , 21 Lenovo , 13 Dell , 39 Other , 25
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