SOLUTIONSMANUAL
. .
DIRK .TEMPELAAR
Masstricht .University
BUSINESS STATISTICS .
THIRD E DITION .
Robert A. Donnelly . .
Complete Chapter Solutions
. .
Manualare included (Ch 1 to
. . . . . .
18).
** Immediate Download
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** Swift Response
. .
** All Chapters included
. . .
, Table .of .Contents
Chapter .1: .An .Introduction .to .Business .Statistics… ................................................................. 1-1
Chapter .2: .Displaying .Descriptive .Statistics… .......................................................................... 2-1
Chapter .3: .Calculating .Descriptive .Statistics… .........................................................................3-1
Chapter .4: .Introduction .to .Probabilities… ................................................................................ 4-1
Chapter .5: .Discrete .Probability .Distributions…........................................................................ 5-1
Chapter .6: .Continuous .Probability .Distributions… .................................................................. 6-1
Chapter .7: .Sampling .and .Sampling .Distributions… ..................................................................7-1
Chapter .8: .Confidence .Intervals… ............................................................................................. 8-1
Chapter .9: .Hypothesis .Testing .for .a .Single .Population…........................................................ 9-1
Chapter .10: .Hypothesis .Tests .Comparing .Two .Populations… ............................................... 10-1
Chapter .11: .Analysis .of .Variance .(ANOVA) .Procedures… ................................................... 11-1
Chapter .12: .Chi-Square .Tests… ............................................................................................... 12-1
Chapter .13: .Hypothesis .Tests .for .the .Population .Variance… ................................................. 13-1
Chapter .14: .Correlation .and .Simple .Linear .Regression… ...................................................... 14-1
Chapter .15: .Multiple .Regression .and .Model .Building… ........................................................ 15-1
Chapter .16: .Forecasting............................................................................................................. 16-1
Chapter .17: .Decision .Analysis… ............................................................................................. 17-1
Chapter .18: .Nonparametric .Statistics… ................................................................................... 18-1
, CHAPTER .1
An .Introduction .to .Business .Statistics
1.1 Quantitative/Interval. .The .differences .between .average .monthly .temperatures
.are.meaningful, .but .there .is .no .true .zero .point, .i.e., .absence .of .temperature.
1.2 Quantitative/Ratio. .The .differences .between .average .monthly .rainfalls .are .meaningful,
.and.there .is .a .true .zero .point, .because .there .may .be .a .month .without .any .rainfalls.
1.3 Qualitative/Ordinal. .You .can .rank .education .level, .but .the .differences .between
.different.educational .levels .cannot .be .measured.
1.4 Qualitative/Nominal. .The .marital .status .is .just .a .label .without .a .meaningful .difference,
.or.ranking.
1.5 Quantitative/Ratio. .The .differences .between .ages .of .respondents .are .meaningful .and .there
is .a .true .zero .point: .an .age .of .the .respondents .that .equals .zero .represents .the .absence .of .age.
1.6 Qualitative/Nominal. .The .genders .are .merely .labels .with .no .ranking .or
.meaningful.difference.
1.7 Quantitative/Interval. .The .differences .between .birth .years .are .meaningful, .but .there .is .no
.true.zero .point .with .calendar .years.
1.8 Qualitative/ .Nominal. .The .political .affiliations .are .merely .labels .with .no .ranking
.or.meaningful .difference.
1.9 Qualitative/ .Nominal. .The .races .of .the .respondents .are .merely .labels .with .no .ranking
.or.meaningful .difference.
1.10 Qualitative/ .Ordinal. .You .can .rank .the .performance .rating, .but .the .differences
.between.different .performance .ratings .cannot .be .measured.
1.11 Qualitative/ .Nominal. .The .uniform .numbers .of .each .member .of .the .school‟s .sport .team
.are.labels .with .no .ranking .or .meaningful .difference.
1.12 Qualitative/ordinal. .The .differences .in .the .data .values .between .class .ranks .are
.not.meaningful.
, 1-2 . Chapter .1
1.13 Quantitative/Ratio. .The .differences .between .final .exam .scores .for .your .statistics .class
are .meaningful, .and .there .is .a .true .zero .point .because .a .student .who .did .not .take .the
.exam.would .have .a .score .of .zero.
1.14 Qualitative/Nominal. .The .state .in .which .the .respondents .in .a .survey .reside .is .a .label
.and .it.is .meaningless .to .talk .about .the .rating .of .this .value.
1.15 Quantitative/Interval. .The .differences .between .SAT .scores .for .graduating .high .school
.students .are .meaningful, .but .there .is .no .true .zero .point .because .a .student .with .an .SAT
.score.equal .to .zero .does .not .indicate .the .absence .of .a .score.
1.16 Qualitative/Ordinal. .You .can .rank .movie .ratings, .but .the .differences
.between.different .ratings .cannot .be .measured.
1.17 Qualitative/ordinal. .The .differences .in .the .data .values .between .ratings .are .not .meaningful.
1.18 Qualitative/ordinal. .The .differences .in .the .data .values .between .ratings .are .not .meaningful.
1.19 Cross-sectional
1.20 Time .series
1.21 Time .series: .Men .weekly .earnings .over .the .five .years.
.Time .series: .Women .weekly .earnings .over .the .five
.years.
1.22 Cross-sectional .data: .Men .and .women .workers .weekly .earnings .for .any .one .particular .year.
1.23 Cross-sectional: .The .number .of .8x10, .11x14 .and .13x19 .prints .sold .over .a .particular .year.
1.24 Time .series: .the .number .of .8x10 .prints .sold .over .the .four
.years. .Time .series: .the .number .of .11x14 .prints .sold .over .the
.four .years..Time .series: .the .number .of .13x19 .prints .sold .over
.the .four .years.
1.25 Descriptive .statistics, .because .it .identifies .a .sample .mean.
1.26 Inferential .statistics, .because .the .statements .about .comparing .the .average .costs .of .a
.hotel.room .in .two .states .was .based .on .results .from .samples .taken .from .two
.populations.