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Modern Business Statistics with Microsoft Excel 7th Edition by Anderson, Sweeney and Williams | TEST BANK - All Chapter 1-20

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Modern Business Statistics with Microsoft Excel 7th Edition by David R. Anderson, Dennis J. Sweeney and Thomas A. Williams. ISBN-10 X, ISBN-13 978-1. All Chapter 1-20. 910 Pages . TEST BANK. TABLE OF CONTENTS Chapter 1: Data and Statistics Chapter 2: Descriptive Statistics: Tabular and Graphical Displays Chapter 3: Descriptive Statistics: Numerical Measures Chapter 4: Introduction to Probability Chapter 5: Discrete Probability Distributions Chapter 6: Continuous Probability Distributions Chapter 7: Sampling and Sampling Distributions Chapter 8: Interval Estimation Chapter 9: Hypothesis Tests Chapter 10: Inference about Means and Proportions with Tw Chapter 11: Inferences about Population Variances Chapter 12: Tests of Goodness of Fit, Independence, Chapter 13: Experimental Design and Analysis of Variance Chapter 14: Simple Linear Regression Chapter 15: Multiple Regression Chapter 16: Regression Analysis: Model Building Chapter 17: Time Series Analysis and Forecasting Chapter 18: Nonparametric Methods Chapter 19: Statistical Methods for Quality Control Chapter 20: Decision Analysis

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Voorbeeld van de inhoud

,Name: Class: Date:

Chap 01_7e

Indicate the answer choice that best completes the statement or answers the question.
1. When the data are labels or names used to identify an attribute of the elements and the rank of the data is
meaningful, the variable has which scale of measurement?
a. nominal
b. ordinal
c. interval
d. ratio

2. In a questionnaire, respondents are asked to record their age in years. Age is an example of a _____.
a. categorical variable
b. quantitative variable
c. categorical or quantitative variable, depending on how the respondents answered the question
d. ratio variable

3. Flight time from Cincinnati to Atlanta is an example of a _____ variable and _____ measurement.
a. discrete; interval
b. discrete; ratio
c. continuous; interval
d. continuous; ratio

4. _____ analytics encompasses the set of analytical techniques that describe what has happened in the past.
a. Descriptive
b. Predictive
c. Prescriptive
d. Data

Exhibit 1-2
In a sample of 3,200 registered voters, 1,440, or 45%, approve of the way the president is doing his job.
5. Refer to Exhibit 1-2. The 45% approval is an example of _____.
a. a sample
b. descriptive statistics
c. statistical inference
d. a population

6. The Microsoft Office package used to perform statistical analysis is _____.
a. SPSS
b. Word
c. SAS
d. Excel




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,Name: Class: Date:

Chap 01_7e

7. Quantitative data that measure "how many" are ________; quantitative data that measure "how much" are
________.
a. interval; ratio
b. ratio; interval
c. continuous; discrete
d. discrete; continuous

8. Which of the following is NOT an example of an existing source of data?
a. the Internet
b. internal company records
c. U.S. Census Bureau
d. data from an experiment

9. Statistical inference _____.
a. refers to the process of drawing inferences about the sample based on the characteristics of the population
b. is the same as descriptive statistics
c. is the process of drawing inferences about the population based on the information taken from the sample
d. is the same as a census

10. Which two scales of measurement can be either numeric or nonnumeric?
a. nominal and ratio
b. ordinal and interval
c. interval and ordinal
d. nominal and ordinal

11. A portion of the population selected to represent the population is called _____.
a. statistical inference
b. descriptive statistics
c. a census
d. a sample

12. Dr. Kurt Thearling, a leading practitioner in the field, defines data mining as “the _____ extraction of _____
information from databases."
a. thorough, insightful
b. timely, accurate
c. automated, predictive
d. intentional, useful

13. Which of the following is NOT a scale of measurement?
a. nominal
b. ordinal
c. interval
d. categorical

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, Name: Class: Date:

Chap 01_7e

14. The summaries of data, which may be tabular, graphical, or numerical, are referred to as _____.
a. inferential statistics
b. descriptive statistics
c. statistical inference
d. report generation

15. The term data warehousing is used to refer to the process of doing all of the following, except _____ the data.
a. capturing
b. storing
c. maintaining
d. mining

16. Of 800 students in a university, 360, or 45%, live in the dormitories. The 800 is an example of _____.
a. a sample
b. a population
c. statistical inference
d. descriptive statistics

17. In a questionnaire, respondents are asked to mark their gender as Male, Female, Transgender MtoF, Transgender
FtoM, Non-binary, or Intersex. Gender is an example of a(n) _____ variable.
a. categorical
b. quantitative
c. interval
d. ratio

18. The major applications of data mining have been made by companies with a strong _____ focus.
a. consumer
b. manufacturing
c. exporting
d. research and development

19. A sample of five Fortune 500 companies possessed the following industry codes: banking, banking, finance,
retail, and banking. Based on this information, which of the following statements is correct?
a. Sixty percent of the sample of five companies are banking industries.
b. Sixty percent of all Fortune 500 companies are banking industries.
c. Banking is the most common type of industry among all Fortune 500 companies.
d. If five other Fortune 500 companies were chosen, 60% of them would be banking industries.




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