Solution Manual for Statistics for Management and Economics, Abbreviated, 11th Edition

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Chapter 11.2Descriptive techniques summarize data. Inferential techniques drawinferencesabout a population based onsample data.1.3 a The population is the 25,000 registered voters.bThe sample is the 200 registered voters.cThe 48% figure is the statistic1.4 a The population is the completeproduction 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 statistic.g We can estimate the population proportionis 7.5%. Statistical inference methods will allow us to determinewhether 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 sampleof 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 numberof heads).bThe population is composed of the theoretical result of flipping the coin an infinite number of times and recordingeither “heads” or “tails”.cThe 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 thantails)in the population.e The statistic is the proportion of heads (or tails depending on the choice made in part d).fThe sample statistic can be used to judge whether the coin is actually fair.1.7a 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 aThe population is made up of the propane mileage of all the cars in the fleet.bThe parameter is the mean propane mileage of all the cars in the fleet.cThe sample is composed of the propane mileage of the 50 cars.

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dThe statistic is the mean propane mileage of the 50 cars in the sample.eWe can use the samplestatistic to estimate the population parameter.

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5Chapter 22.1 Nominal: Occupation, undergraduate major. Ordinal: Rating of university professor, Taste test ratings. Interval:age, income2.2 a Intervalb Intervalc Nominald Ordinal2.3 a Intervalb Nominalc Ordinald IntervaleInterval2.4 a Nominalb Intervalc Nominald Intervale Ordinal2.5 a Intervalb Intervalc Nominald Intervale Nominal2.6 a Intervalb Intervalc Nominald Ordinale Interval2.7 a Intervalb Nominalc. Nominal

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6d IntervaleIntervalf Ordinal2.8 a Intervalb Ordinalc Nominald Ordinal2.9 a Intervalb Nominalc Nominal2.10 a Ordinalb Ordinalc Ordinal2.11 a Nominalb Intervalc Ordinal2.12a NominalbIntervalcIntervald Interval2.13

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72.142.15050,00,00,00,0001,00,00,00,00,0001,50,00,00,00,0002,00,00,00,00,0002,50,00,00,00,0003,00,00,00,00,0003,50,00,00,00,000Brazil,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 ArabEmirates,6.3%United States,2.3%Venezuela,19.1%Percentage

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82.162.17020,00,00040,00,00060,00,00080,00,0001,00,00,0001,20,00,0001,40,00,0001,60,00,0001,80,00,0002,00,00,000AustraliaBrazilCanadaChinaFranceGermanyIndiaIndonesiaIranItalyJapanMexicoRussiaSaudi ArabiaSingaporeSouth KoreaSpainThailandUnited KingdomUnited StatesGasoline51%Distillate fuel oil15%Jet fuel13%Still gas5%Marketablecoke5%Residual fuel oil3%Liquifiedrefinerygas3%Asphalt androad oil2%Lubricants1%Other2%

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92.182.19010,00,00,00,00,00020,00,00,00,00,00030,00,00,00,00,00040,00,00,00,00,00050,00,00,00,00,00060,00,00,00,00,000AustraliaBrazilCanadaChinaEuropean UnionFranceGermanyIndiaItalyJapanKorea, SouthMexicoRussiaSaudi ArabiaSouth AfricaSpainTaiwanTurkeyUnited KingdomUnited States417.7541.07706.8765.61591.1528.6407.91098.0528.1443.61556.7438.2451.2519.95424.50.01000.02000.03000.04000.05000.06000.07000.08000.09000.0

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102.202.210.0100.0200.0300.0400.0500.0600.0700.0800.0900.0Steel production02,00,00,00,00,0004,00,00,00,00,0006,00,00,00,00,0008,00,00,00,00,00010,00,00,00,00,00012,00,00,00,00,000

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112.222.23Organic,45.8%Paper,17.2%Plastic,10.3%Glass,5.1%Metal,4.1%Other,17.5%0500100015002000250030003500

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122.242.25010,00020,00030,00040,00050,00060,000020406080100120ApplesApricotsAvocadosBananasCherriesDatesGrapefruitsGrapesKiwi FruitLemons & LimesMangoesOrangesPapayasPeaches & NectarinesPearsPersimmonsPineapplesPlantainsPlums and SloesStrawberriesTangerines

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132.2610.2010.4510.2010.7011.2510.5510.3010.6010.5010.509.609.8010.0010.2010.4010.6010.8011.0011.2011.40Minimum wage2.20%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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142.272.28Location39%Majors22%Academicreputation10%Career focus16%Community5%Number ofstudents8%Consumerguide52%Dealership28%Word of mouth12%Internet8%

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15The basement is the top choice followed by kitchen, bathroom, bedroom, and living/dining room.2.29aNewspaperFrequencyRelative FrequencyDaily News14139.2%Post12835.6%Times328.9%WSJ5916.4%bThe Daily News and the Post dominate the marketBasement32%Bathroom23%Bedroom9%Kitchen27%Living/diningroom9%New York DailyNews39%New York Post36%New York Times9%Wall StreetJournal16%

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162.30aDegreeFrequencyBA88BBA37B Eng51B Sc24Other30b.cd. About 4applicants in10 have the BA degree, about one-fifthhave a BEng. and one-sixth have a BBA.88375124300102030405060708090100BABBABengBScOtherB.A.38%B.B.A.16%B.Eng22%B.Sc.11%Other13%

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172.31abc Dell is most popular with 40% proportion, followed by other, 26%,HP, 21% andLenovo, 13%.2.32aSoftwareFrequencyExcel34Minitab17SAS3SPSS4Other12b21133925051015202530354045HPLenovoDellOtherHP,21Lenovo,13Dell,39Other,25

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