SOLUTION MANUAL
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 aremeaningful, but there is no true zero point, i.e.,
absence of temperature.
1.2 Quantitative/Ratio. The differences between average monthly rainfalls are
meaningful, andthere 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 differenteducational levels cannot be measured.
1.4 Qualitative/Nominal. The marital status is just a label without a meaningful
difference, orranking.
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 meaningfuldifference.
1.7 Quantitative/Interval. The differences between birth years are meaningful, but
there is no truezero point with calendar years.
1.8 Qualitative/ Nominal. The political affiliations are merely labels with
no ranking ormeaningful difference.
1.9 Qualitative/ Nominal. The races of the respondents are merely labels with
no ranking ormeaningful difference.
1.10 Qualitative/ Ordinal. You can rank the performance rating, but the
differences betweendifferent performance ratings cannot be measured.
1.11 Qualitative/ Nominal. The uniform numbers of each member of the school’s
sport team arelabels with no ranking or meaningful difference.
1.12 Qualitative/ordinal. The differences in the data values between class
ranks are notmeaningful.
, 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 examwould have a score of zero.
1.14 Qualitative/Nominal. The state in which the respondents in a survey reside
is a label and itis 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 scoreequal to zero does not indicate the absence of a
score.
1.16 Qualitative/Ordinal. You can rank movie ratings, but the
differences betweendifferent 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.
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 aremeaningful, but there is no true zero point, i.e.,
absence of temperature.
1.2 Quantitative/Ratio. The differences between average monthly rainfalls are
meaningful, andthere 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 differenteducational levels cannot be measured.
1.4 Qualitative/Nominal. The marital status is just a label without a meaningful
difference, orranking.
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 meaningfuldifference.
1.7 Quantitative/Interval. The differences between birth years are meaningful, but
there is no truezero point with calendar years.
1.8 Qualitative/ Nominal. The political affiliations are merely labels with
no ranking ormeaningful difference.
1.9 Qualitative/ Nominal. The races of the respondents are merely labels with
no ranking ormeaningful difference.
1.10 Qualitative/ Ordinal. You can rank the performance rating, but the
differences betweendifferent performance ratings cannot be measured.
1.11 Qualitative/ Nominal. The uniform numbers of each member of the school’s
sport team arelabels with no ranking or meaningful difference.
1.12 Qualitative/ordinal. The differences in the data values between class
ranks are notmeaningful.
, 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 examwould have a score of zero.
1.14 Qualitative/Nominal. The state in which the respondents in a survey reside
is a label and itis 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 scoreequal to zero does not indicate the absence of a
score.
1.16 Qualitative/Ordinal. You can rank movie ratings, but the
differences betweendifferent 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.
