Question 1

Researchers may gain insight into the characteristics of a population by examining a

Accepted Answer

A)  mathematical model describing the population 
B)  sample of the population 
C)  description of the population 
D)  replica 
A)  mathematical model describing the population 
B)  sample of the population 
C)  description of the population 
D)  replica

Question 2

The daily closing values of the Dow Jones Industrial Average are examples of

Accepted Answer

A)  cross-sectional data 
B)  discrete data 
C)  time-series data 
D)  continuous data
Below you will find summary measures on starting salaries for classroom teachers across the United States.You will also find a list of selected states and their average starting teacher salary.All values are in thousands of dollars.
Starting salaries for classroom teachers across the United States
$$\begin{array} { | l l | } 
\hline & \text { Salary } \
\hline \text { Count } & 51.000 \
\text { Mean } & 35.890 \
\text { Median } & 35.000 \
\text { Standard deviation } & 6.226 \
\text { Minimum } & 26.300 \
\text { Maximum } & 50.300 \
\text { Variance } & 38.763 \
\text { First quartile } & 31.550 \
\text { Third quartile } & 40.050 \
\hline
\end{array}$$
Selected states and their average starting teacher 
$$\begin{array} { | l l | } 
\hline \text { State } & \text { Salary } \
\hline \text { Alabama } & 31.3 \
\text { Colorado } & 35.4 \
\text { Connecticut } & 50.3 \
\text { Delaware } & 40.5 \
\text { Nebraska } & 31.5 \
\text { Nevada } & 36.2 \
\text { New Hampshire } & 35.8 \
\text { New Jersey } & 47.9 \
\text { New Mexico } & 29.6 \
\text { South Carolina } & 31.6 \
\text { South Dakota } & 26.3 \
\text { Tennessee } & 33.1 \
\text { Texas } & 32.0 \
\text { Utah } & 30.6 \
\text { Vermont } & 36.3 \
\text { Virginia } & 35.0 \
\text { Wyoming } & 31.6 \
\hline
\end{array}$$ 
A)  cross-sectional data 
B)  discrete data 
C)  time-series data 
D)  continuous data
Below you will find summary measures on starting salaries for classroom teachers across the United States.You will also find a list of selected states and their average starting teacher salary.All values are in thousands of dollars.
Starting salaries for classroom teachers across the United States
$$\begin{array} { | l l | } 
\hline & \text { Salary } \
\hline \text { Count } & 51.000 \
\text { Mean } & 35.890 \
\text { Median } & 35.000 \
\text { Standard deviation } & 6.226 \
\text { Minimum } & 26.300 \
\text { Maximum } & 50.300 \
\text { Variance } & 38.763 \
\text { First quartile } & 31.550 \
\text { Third quartile } & 40.050 \
\hline
\end{array}$$
Selected states and their average starting teacher 
$$\begin{array} { | l l | } 
\hline \text { State } & \text { Salary } \
\hline \text { Alabama } & 31.3 \
\text { Colorado } & 35.4 \
\text { Connecticut } & 50.3 \
\text { Delaware } & 40.5 \
\text { Nebraska } & 31.5 \
\text { Nevada } & 36.2 \
\text { New Hampshire } & 35.8 \
\text { New Jersey } & 47.9 \
\text { New Mexico } & 29.6 \
\text { South Carolina } & 31.6 \
\text { South Dakota } & 26.3 \
\text { Tennessee } & 33.1 \
\text { Texas } & 32.0 \
\text { Utah } & 30.6 \
\text { Vermont } & 36.3 \
\text { Virginia } & 35.0 \
\text { Wyoming } & 31.6 \
\hline
\end{array}$$

Question 3

What measure of distribution relates to extreme events,such as a stock market crash?

Accepted Answer

A)  asymmetric 
B)  kurtosis 
C)  negatively skewed 
D)  skewness 
A)  asymmetric 
B)  kurtosis 
C)  negatively skewed 
D)  skewness

Question 4

If the mean is 75 and two observations have values of 65 and 85,what is the squared deviation of each?

Accepted Answer

A)  100 
B)  20 
C)  400 
D)  10 
A)  100 
B)  20 
C)  400 
D)  10

Question 5

The mode is best described as the

Accepted Answer

A)  middle observation 
B)  same as the average 
C)  50th percentile 
D)  most frequently occurring value 
E)  third quartile 
A)  middle observation 
B)  same as the average 
C)  50th percentile 
D)  most frequently occurring value 
E)  third quartile

Question 6

In a generic box plot,the vertical line inside the box indicates the location of the

Accepted Answer

A)  mean 
B)  median 
C)  mode 
D)  minimum value 
E)  maximum value 
A)  mean 
B)  median 
C)  mode 
D)  minimum value 
E)  maximum value

Researchers may gain insight into the characteristics of a population by examining a

The daily closing values of the Dow Jones Industrial Average are examples of

What measure of distribution relates to extreme events,such as a stock market crash?

If the mean is 75 and two observations have values of 65 and 85,what is the squared deviation of each?

The mode is best described as the

In a generic box plot,the vertical line inside the box indicates the location of the

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

Researchers may gain insight into the characteristics of a population by examining a

The daily closing values of the Dow Jones Industrial Average are examples of

What measure of distribution relates to extreme events,such as a stock market crash?

If the mean is 75 and two observations have values of 65 and 85,what is the squared deviation of each?

The mode is best described as the

In a generic box plot,the vertical line inside the box indicates the location of the

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