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Business Statistics - (For Complete File Download link at the end of ...

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Business Statistics in Practice 7e Bruce Bowerman Richard Connell Emily Murphree

(Solutions Manual All Chapter)

(For Complete File Download link at the end of this File)

  • / 4

Chapter 01 - An Introduction to Business Statistics 1-1 © 2014 by McGraw-Hill Education. This is proprietary material solely for authorized instructor use. Not authorized for sale or distribution in any manner. This document may not be copied, scanned, duplicated, forwarded, distributed, or posted on a website, in whole or part.CHAPTER 1—An Introduction to Business Statistics 1.1 Any characteristic of a population unit is called a variable.

Quantitative: values on the real number line.

Qualitative: record unit into categories.

L01-01, L01-02

1.2 a. Quantitative; dollar amounts correspond to values on the real number line.

  • Quantitative; net profit is a dollar amount.
  • Qualitative; which stock exchange is a category.
  • Quantitative; national debt is a dollar amount.
  • Qualitative; media is categorized into radio, television, or print.

L01-02

1.3 Cross sectional data are collected at approximately the same point in time whereas time series data are collected over different time periods.The total number of cars sold in 2009 by 10 different sales people are cross sectional data.The total number of cars sold by a particular sales person for the years 2005 – 2009 are time series data.

L01-03

1.4 The response variable is whether or not the person has cancer. The factors or independent variables are age, sex, occupation, and number of cigarettes smoked per day. This is an observational study.

L01-05

1.5 $398,000

L01-01

1.6 Diamond: Lake Lot $494,000

Rudy: Lake Lot $447,000

L01-01

  • / 4

Chapter 01 - An Introduction to Business Statistics 1-2 © 2014 by McGraw-Hill Education. This is proprietary material solely for authorized instructor use. Not authorized for sale or distribution in any manner. This document may not be copied, scanned, duplicated, forwarded, distributed, or posted on a website, in whole or part.

1.7

This chart shows sales are increasing over time.

L01-04

1.8 A population is a set of existing units.Consumers utilizing a particular product.

L01-06

1.9 Census: examine all of the population units.

Sample: subset of the units in a population.

L01-06

1.10 Descriptive statistics: science of describing the important aspects of a set of measurements.Statistical inference: science of using a sample of measurements to make generalizations about the important aspects of a population of measurements.

L01-07

1.11 A process is a series of operations that take input(s) and generate output(s).

L01-06

1.12 Most of the scores would fall between 36 and 48 because 36 is the smallest score in the sample and 48 is the largest score in the sample. An estimate of the proportion of scores that would be at least 42 is 46/65 = 0.708 because 46 of the 65 sample scores are at least 42.

L01-08

1.13 Most waiting times will be from 0.4 to 11.6 minutes. An estimate of the proportion of waiting times less than 6 minutes is found by counting the number of customers with waiting times

100 200 300 400 500

123456789101112131415161718192021222324

Sales Bismark X-12 Calculator Monthly Sales 3 / 4

Chapter 01 - An Introduction to Business Statistics 1-3 © 2014 by McGraw-Hill Education. This is proprietary material solely for authorized instructor use. Not authorized for sale or distribution in any manner. This document may not be copied, scanned, duplicated, forwarded, distributed, or posted on a website, in whole or part.less than 6 minutes and dividing by the total of 100 customers. .6.100 60 =

L01-08

1.14 Most breaking strengths will be between 46.8 lbs and 54 lbs.

L01-08

1.15 A ratio variable is a quantitative variable measured on a scale such that ratios of values of the variables are meaningful and there is an inherently defined zero value. An interval variable is a quantitative variable such that ratios of values of the variable are not meaningful and there is not an inherently defined zero value.

L01-09

1.16 An ordinal variable is a qualitative variable such that there is a meaningful ordering, or ranking, of the categories. A nominative variable is a qualitative variable such that there is no meaningful ordering, or ranking, of the categories.

L01-09

1.17 Ordinal, nominative, ordinal, nominative, ordinal, and nominative.

L01-09

1.18 Nominative, ordinal, ordinal, ordinal, nominative, and nominative.

L01-09

1.19

130 135 140 145 150 155 160 165 170 175 180

1357911131517192123252729313335373941434547

Coffee Temperature in Degrees F

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