Question 1

The potential misuse of statistical data relates to the area of:

Accepted Answer

A) statistical inference 
B) computer interpretation 
C) descriptive analytics 
D) business ethics 
E) nonparametric behavior 
A) statistical inference 
B) computer interpretation 
C) descriptive analytics 
D) business ethics 
E) nonparametric behavior

Question 2

Sales of a restaurant (in dollars)are an example of what level of data measurement?

Accepted Answer

A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data 
A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data

Question 3

A descriptive measure of the sample is called a statistic.

Accepted Answer

A) True 
 B)False

Question 4

Gathering data from a sample to reach conclusions about the population from which the sample was drawn is called inferential statistics.

Accepted Answer

A) True 
 B)False

Question 5

If big data has variety, then it can be said that the data are from several different sources such as videos, retail scanners, and the internet.

Accepted Answer

A) True 
 B)False

Question 6

Members of the accounting department's clerical staff were asked to rate their supervisor's leadership style as either (1)authoritarian or (2)participatory.This is an example of ___.

Accepted Answer

A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data 
A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data

Question 7

Big data can be seen as a large amount of either organized or unorganized data that is analyzed to _________________:

Accepted Answer

A) confirm and justify a decision. 
B) disprove and refute an assumption. 
C) make an informed decision or evaluation. 
D) structure and design a methodology. 
E) process and eliminate. 
A) confirm and justify a decision. 
B) disprove and refute an assumption. 
C) make an informed decision or evaluation. 
D) structure and design a methodology. 
E) process and eliminate.

Question 8

A market researcher is interested in determining the average income for families in Simcoe County, Ontario.To accomplish this, a random sample of 400 families is taken from the county and the data gathered is used to estimate the average income for families of the entire county.This process is an example of ___.

Accepted Answer

A) nonparametric statistics 
B) nominal data 
C) descriptive statistics 
D) inferential statistics 
E) census 
A) nonparametric statistics 
B) nominal data 
C) descriptive statistics 
D) inferential statistics 
E) census

Question 9

You are the owner of a camping site and want to evaluate the feasibility of opening earlier during the year.For this analysis, you obtain the average maximum and minimum local daily temperatures for early spring.This is an example of _______.

Accepted Answer

A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data 
A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data

Question 10

The manner in which numerical data can be analyzed statistically depends on the level of data measurement represented by numbers being analyzed.

Accepted Answer

A) True 
 B)False

Question 11

A student makes an 82 on the first test in a statistics course.From this, she estimates that her average at the end of the semester (after other tests)will be about 82.This is an example of ___.

Accepted Answer

A) descriptive statistics 
B) inferential statistics 
C) population derivation 
D) sample persuasion 
E) relative level data 
A) descriptive statistics 
B) inferential statistics 
C) population derivation 
D) sample persuasion 
E) relative level data

Question 12

One goal of data visualization is to make complex data easier to understand.

Accepted Answer

A) True 
 B)False

Question 13

The three categories of business analytics could be described as describing what has happened, predicting potential relationships among data, and prescribing future decisions under uncertainty.

Accepted Answer

A) True 
 B)False

Question 14

On discovering an improperly adjusted drill press, Jack Joyner, Director of Quality Control, ordered a 100% inspection of all castings drilled during the evening shift.Jack is ordering a ___.

Accepted Answer

A) statistic from the castings 
B) census of the castings 
C) sample of the castings 
D) sorting of the castings 
E) parameter of the castings 
A) statistic from the castings 
B) census of the castings 
C) sample of the castings 
D) sorting of the castings 
E) parameter of the castings

Question 15

Prescriptive analytics is the second step in big data analysis, following descriptive statistics.

Accepted Answer

A) True 
 B)False

Question 16

Which of the following operations is meaningful for processing ordinal data, but is meaningless for processing nominal data?

Accepted Answer

A) addition 
B) multiplication 
C) ranking 
D) counting 
E) division 
A) addition 
B) multiplication 
C) ranking 
D) counting 
E) division

Question 17

Sue Taylor, Director of Global Industrial Sales, is concerned by a deteriorating sales trend.Specifically, the number of industrial customers is stable at 1,500, but they are purchasing less each year.She orders her staff to search for causes of the downward trend by surveying all 1,500 industrial customers.One question on the survey asked the customers: "How many people does your company employ?" The measurement level for this question is ___.

Accepted Answer

A) interval level 
B) ordinal level 
C) nominal level 
D) relative level 
E) ratio level 
A) interval level 
B) ordinal level 
C) nominal level 
D) relative level 
E) ratio level

Question 18

Grades on a test range from 0 to 100.This level of data is ___.

Accepted Answer

A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data 
A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data

Question 19

The social insurance number of employees would be an example of what level of data measurement?

Accepted Answer

A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data 
A) interval level data 
B) ordinal level data 
C) nominal level data 
D) ratio level data 
E) relative level data

Question 20

Which types of data are normally used in parametric statistics?

Accepted Answer

A) interval or ratio level data 
B) ordinal or nominal level data 
C) nominal or ratio level data 
D) ratio or ordinal level data 
E) relative or ratio level data 
A) interval or ratio level data 
B) ordinal or nominal level data 
C) nominal or ratio level data 
D) ratio or ordinal level data 
E) relative or ratio level data

The potential misuse of statistical data relates to the area of:

Sales of a restaurant (in dollars)are an example of what level of data measurement?

A descriptive measure of the sample is called a statistic.

Gathering data from a sample to reach conclusions about the population from which the sample was drawn is called inferential statistics.

If big data has variety, then it can be said that the data are from several different sources such as videos, retail scanners, and the internet.

Members of the accounting department's clerical staff were asked to rate their supervisor's leadership style as either (1)authoritarian or (2)participatory.This is an example of ___.

Big data can be seen as a large amount of either organized or unorganized data that is analyzed to _________________:

You are the owner of a camping site and want to evaluate the feasibility of opening earlier during the year.For this analysis, you obtain the average maximum and minimum local daily temperatures for early spring.This is an example of _______.

The manner in which numerical data can be analyzed statistically depends on the level of data measurement represented by numbers being analyzed.

A student makes an 82 on the first test in a statistics course.From this, she estimates that her average at the end of the semester (after other tests)will be about 82.This is an example of ___.

One goal of data visualization is to make complex data easier to understand.

The three categories of business analytics could be described as describing what has happened, predicting potential relationships among data, and prescribing future decisions under uncertainty.

On discovering an improperly adjusted drill press, Jack Joyner, Director of Quality Control, ordered a 100% inspection of all castings drilled during the evening shift.Jack is ordering a ___.

Prescriptive analytics is the second step in big data analysis, following descriptive statistics.

Which of the following operations is meaningful for processing ordinal data, but is meaningless for processing nominal data?

Grades on a test range from 0 to 100.This level of data is ___.

The social insurance number of employees would be an example of what level of data measurement?

Which types of data are normally used in parametric statistics?

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

Exam 1: Introduction to Statistics

The potential misuse of statistical data relates to the area of:

Sales of a restaurant (in dollars)are an example of what level of data measurement?

A descriptive measure of the sample is called a statistic.

Gathering data from a sample to reach conclusions about the population from which the sample was drawn is called inferential statistics.

If big data has variety, then it can be said that the data are from several different sources such as videos, retail scanners, and the internet.

Members of the accounting department's clerical staff were asked to rate their supervisor's leadership style as either (1)authoritarian or (2)participatory.This is an example of ___.

Big data can be seen as a large amount of either organized or unorganized data that is analyzed to _________________:

You are the owner of a camping site and want to evaluate the feasibility of opening earlier during the year.For this analysis, you obtain the average maximum and minimum local daily temperatures for early spring.This is an example of _______.

The manner in which numerical data can be analyzed statistically depends on the level of data measurement represented by numbers being analyzed.

A student makes an 82 on the first test in a statistics course.From this, she estimates that her average at the end of the semester (after other tests)will be about 82.This is an example of ___.

One goal of data visualization is to make complex data easier to understand.

The three categories of business analytics could be described as describing what has happened, predicting potential relationships among data, and prescribing future decisions under uncertainty.

On discovering an improperly adjusted drill press, Jack Joyner, Director of Quality Control, ordered a 100% inspection of all castings drilled during the evening shift.Jack is ordering a ___.

Prescriptive analytics is the second step in big data analysis, following descriptive statistics.

Which of the following operations is meaningful for processing ordinal data, but is meaningless for processing nominal data?

Grades on a test range from 0 to 100.This level of data is ___.

The social insurance number of employees would be an example of what level of data measurement?

Which types of data are normally used in parametric statistics?

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters