Question 1

People tend to use data mining techniques to ______.

Accepted Answer

A) create a pivot table 
B) compare means 
C) test hypothesis 
D) test correlation 
A) create a pivot table 
B) compare means 
C) test hypothesis 
D) test correlation

Question 2

Technological advances allow for more _____________ among institutions and people and machines.

Accepted Answer

A) relationships 
B) interconnectedness 
C) independence 
D) dependence 
A) relationships 
B) interconnectedness 
C) independence 
D) dependence

Question 3

The technology allows for the collection of every single piece of data that is available, if ___________ can be addressed.

Accepted Answer

A) relationship 
B) information 
C) data 
D) privacy 
A) relationship 
B) information 
C) data 
D) privacy

Question 4

What is the meaning of "quants?"

Accepted Answer

A) qualitative 
B) quantitative 
C) quality 
D) quantity 
A) qualitative 
B) quantitative 
C) quality 
D) quantity

Question 5

The variables in the data set of baby names do not include the following________.

Accepted Answer

A) year of birth 
B) first name 
C) county of birth 
D) household income 
A) year of birth 
B) first name 
C) county of birth 
D) household income

Question 6

Crosstabs create a table by summarizing this type of data.

Accepted Answer

A) interval 
B) ratio 
C) categorical 
D) real 
A) interval 
B) ratio 
C) categorical 
D) real

Question 7

What is an example of a research situation in which you would use data-mining techniques?

Accepted Answer

Example: I would lik

Question 8

What is pivot table, and how it is it used?

Accepted Answer

A pivot table is a very useful

Question 9

Today there is an entire industry that has been devoted to data mining, and these companies tend to operate according to ______.

Accepted Answer

A) standard process 
B) cross-industry 
C) CRISP-DM 
D) information 
A) standard process 
B) cross-industry 
C) CRISP-DM 
D) information

Question 10

If you created cross-tabulation tables, your tables would summarize _______ data.

Accepted Answer

A) reliable 
B) ratio 
C) categorical 
D) ordinal 
A) reliable 
B) ratio 
C) categorical 
D) ordinal

Question 11

What is the SPSS's programming language?

Accepted Answer

A) SPSS instruction 
B) SPSS syntax 
C) SPSS command 
D) SPSS language 
A) SPSS instruction 
B) SPSS syntax 
C) SPSS command 
D) SPSS language

Question 12

_____________ is a very large collection of either cases or variables, but usually both.

Accepted Answer

A) Data set 
B) Data mining 
C) Big data 
D) Small data 
A) Data set 
B) Data mining 
C) Big data 
D) Small data

Question 13

A database from New York state contains more than _________ baby names.

Accepted Answer

A) 52,000 
B) 520,000 
C) 5,200,000 
D) 5,200 
A) 52,000 
B) 520,000 
C) 5,200,000 
D) 5,200

Question 14

What do we call the command instruction to run analysis in SPSS program?

Accepted Answer

A) SPSS instruction 
B) SPSS syntax 
C) SPSS command 
D) SPSS language 
A) SPSS instruction 
B) SPSS syntax 
C) SPSS command 
D) SPSS language

Question 15

In order to create something on pivot tables, we need some type of _______ on which to operate.

Accepted Answer

A) input 
B) output 
C) information 
D) data 
A) input 
B) output 
C) information 
D) data

Question 16

Crosstabs summarize _________ data to create a table with row and column totals.

Accepted Answer

A) interval 
B) ratio 
C) categorical 
D) real 
A) interval 
B) ratio 
C) categorical 
D) real

Question 17

Data mining is an effective tool in looking for patterns in ________.

Accepted Answer

A) the world 
B) people 
C) a large data set 
D) the relationship 
A) the world 
B) people 
C) a large data set 
D) the relationship

Question 18

Which tool is an effective one in counting with frequencies?

Accepted Answer

A) correlation 
B) compare means 
C) cross-tabulation 
D) regression 
A) correlation 
B) compare means 
C) cross-tabulation 
D) regression

Question 19

These days, information is measured in _______, or about 1 quintillion bytes.

Accepted Answer

A) megabytes 
B) exabytes 
C) kilobytes 
D) gigabytes 
A) megabytes 
B) exabytes 
C) kilobytes 
D) gigabytes

Question 20

There are many "counting" commands with SPSS that are very useful for ________ the nature of data in a large data set.

Accepted Answer

A) reducing 
B) adding 
C) aggregating 
D) subtracting 
A) reducing 
B) adding 
C) aggregating 
D) subtracting

Exam 19: Data Mining: An Introduction to Getting the Most Out of Your Big Data

People tend to use data mining techniques to ______.

Technological advances allow for more _____________ among institutions and people and machines.

The technology allows for the collection of every single piece of data that is available, if ___________ can be addressed.

What is the meaning of "quants?"

The variables in the data set of baby names do not include the following________.

Crosstabs create a table by summarizing this type of data.

What is an example of a research situation in which you would use data-mining techniques?

What is pivot table, and how it is it used?

Today there is an entire industry that has been devoted to data mining, and these companies tend to operate according to ______.

If you created cross-tabulation tables, your tables would summarize _______ data.

What is the SPSS's programming language?

_____________ is a very large collection of either cases or variables, but usually both.

A database from New York state contains more than _________ baby names.

What do we call the command instruction to run analysis in SPSS program?

In order to create something on pivot tables, we need some type of _______ on which to operate.

Crosstabs summarize _________ data to create a table with row and column totals.

Data mining is an effective tool in looking for patterns in ________.

Which tool is an effective one in counting with frequencies?

These days, information is measured in _______, or about 1 quintillion bytes.

There are many "counting" commands with SPSS that are very useful for ________ the nature of data in a large data set.

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Ice Cream and Crime: Computing Correlation Coefficients

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Are Your Curves Normal Probability and Why It Counts

Significantly Significant: What It Means for You and Me

Only the Lonely: The One Sample Z-Test

Tea for Two: Tests Between the Means of Different Groups

Tea for Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Cousins or Just Good Friends Testing Relationships Using Correlation Coefficient

Predicting Wholl Win the Super Bowl: Using Linear Regression

What to Do When Youre Not Normal: CHI-Square and Some Other Nonparametric Tests

Some Other Important Statistical Procedures You Should Know About

A Statistical Software Sampler

The Ten or More Best and Most Fun Internet Sites for Statistics Stuff

The Ten Commandments of Data Collection

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