Question 1

Data that arise from counts are called

Accepted Answer

A)  continuous data 
B)  nominal data 
C)  counted data 
D)  discrete data 
A)  continuous data 
B)  nominal data 
C)  counted data 
D)  discrete data

Question 2

A distribution with a high kurtosis has almost all of its observations within three standard deviations of the mean.

Accepted Answer

A) True 
 B)False

Question 3

In an extremely right-skewed distribution,the mean is much smaller than the median.

Accepted Answer

A) True 
 B)False

Question 4

Using dummy variables is an efficient way of determining counts of categorical variables.

Accepted Answer

A) True 
 B)False

Question 5

Suppose that a sample of 8 observations has a standard deviation of 2.50,then the sum of the squared deviations from the sample mean is 17.50.

Accepted Answer

A) True 
 B)False

Question 6

The interquartile range (IQR)represents what percent of the observations?

Accepted Answer

A)  lower 25% 
B)  middle 50% 
C)  upper 75% 
D)  upper 90% 
E)  100% 
A)  lower 25% 
B)  middle 50% 
C)  upper 75% 
D)  upper 90% 
E)  100%

Question 7

Time series graphs chart the values of one or more time series,using time on the vertical axis.

Accepted Answer

A) True 
 B)False

Question 8

The median is one of the most frequently used measures of variability.

Accepted Answer

A) True 
 B)False

Question 9

Both ordinal and nominal variables are categorical.

Accepted Answer

A) True 
 B)False

Question 10

Gender and State are examples of which type of data?

Accepted Answer

A)  Discrete data 
B)  Continuous data 
C)  Categorical data 
D)  Ordinal data 
A)  Discrete data 
B)  Continuous data 
C)  Categorical data 
D)  Ordinal data

Question 11

A sample of 20 observations has a standard deviation of 4.The sum of the squared deviations from the sample mean is

Accepted Answer

A)  400 
B)  320 
C)  304 
D)  288 
E)  180 
A)  400 
B)  320 
C)  304 
D)  288 
E)  180

Question 12

A distribution of a numerical variable with no skewness is said to be symmetric.

Accepted Answer

A) True 
 B)False

Question 13

Coding males as 1 and females as 0 in a data set illustrates the use of

Accepted Answer

A)  nominal variables 
B)  dummy variables 
C)  numerical variables 
D)  ordinal variables 
A)  nominal variables 
B)  dummy variables 
C)  numerical variables 
D)  ordinal variables

Question 14

The count of categories is the only meaningful way to summarize categorical data.

Accepted Answer

A) True 
 B)False

Question 15

A frequency table indicates how many observations fall within each category,and a histogram is its graphical analog.

Accepted Answer

A) True 
 B)False

Question 16

Unlike histograms,box plots depict only one aspect of a variable.

Accepted Answer

A) True 
 B)False

Question 17

How is the median defined if the number of observations is even?

Accepted Answer

A)  the average of the two middle observations 
B)  the difference between the two middle observations 
C)  the most frequent observation 
D)  the difference between the highest and smallest observation 
A)  the average of the two middle observations 
B)  the difference between the two middle observations 
C)  the most frequent observation 
D)  the difference between the highest and smallest observation

Question 18

All nominal data may be treated as ordinal data.

Accepted Answer

A) True 
 B)False

Question 19

The difference between the largest and smallest values in a data set is called the range.

Accepted Answer

A) True 
 B)False

Question 20

Suppose that a sample of 10 observations has a standard deviation of 3,then the sum of the squared deviations from the sample mean is 30.

Accepted Answer

A) True 
 B)False

Data that arise from counts are called

A distribution with a high kurtosis has almost all of its observations within three standard deviations of the mean.

In an extremely right-skewed distribution,the mean is much smaller than the median.

Using dummy variables is an efficient way of determining counts of categorical variables.

Suppose that a sample of 8 observations has a standard deviation of 2.50,then the sum of the squared deviations from the sample mean is 17.50.

The interquartile range (IQR)represents what percent of the observations?

Time series graphs chart the values of one or more time series,using time on the vertical axis.

The median is one of the most frequently used measures of variability.

Both ordinal and nominal variables are categorical.

Gender and State are examples of which type of data?

A sample of 20 observations has a standard deviation of 4.The sum of the squared deviations from the sample mean is

A distribution of a numerical variable with no skewness is said to be symmetric.

Coding males as 1 and females as 0 in a data set illustrates the use of

The count of categories is the only meaningful way to summarize categorical data.

A frequency table indicates how many observations fall within each category,and a histogram is its graphical analog.

Unlike histograms,box plots depict only one aspect of a variable.

How is the median defined if the number of observations is even?

All nominal data may be treated as ordinal data.

The difference between the largest and smallest values in a data set is called the range.

Suppose that a sample of 10 observations has a standard deviation of 3,then the sum of the squared deviations from the sample mean is 30.

Introduction to Data Analysis and Decision Making

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 2: Describing the Distribution of a Single Variable

Data that arise from counts are called

A distribution with a high kurtosis has almost all of its observations within three standard deviations of the mean.

In an extremely right-skewed distribution,the mean is much smaller than the median.

Using dummy variables is an efficient way of determining counts of categorical variables.

Suppose that a sample of 8 observations has a standard deviation of 2.50,then the sum of the squared deviations from the sample mean is 17.50.

The interquartile range (IQR)represents what percent of the observations?

Time series graphs chart the values of one or more time series,using time on the vertical axis.

The median is one of the most frequently used measures of variability.

Both ordinal and nominal variables are categorical.

Gender and State are examples of which type of data?

A sample of 20 observations has a standard deviation of 4.The sum of the squared deviations from the sample mean is

A distribution of a numerical variable with no skewness is said to be symmetric.

Coding males as 1 and females as 0 in a data set illustrates the use of

The count of categories is the only meaningful way to summarize categorical data.

A frequency table indicates how many observations fall within each category,and a histogram is its graphical analog.

Unlike histograms,box plots depict only one aspect of a variable.

How is the median defined if the number of observations is even?

All nominal data may be treated as ordinal data.

The difference between the largest and smallest values in a data set is called the range.

Suppose that a sample of 10 observations has a standard deviation of 3,then the sum of the squared deviations from the sample mean is 30.

Introduction to Data Analysis and Decision Making

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters