Question 1

Generally speaking, if two variables are unrelated, the covariance will be a number close to zero.

Accepted Answer

A) True 
 B)False

Question 2

Longevity and Salary A sample of eight observations of variables x (years of experience)and y (salary in $1,000s)is shown below:   {Longevity and Salary Narrative} 
 a. Calculate and interpret the covariance between x and y . 
 b. Give a possible reason that the covariance is negative.

Accepted Answer

a. @#IMG-DLM& 
   The sign indicates a negative re

Question 3

In a histogram, the proportion of the total area which must be to the right of the mean is:

Accepted Answer

A) less than 0.50 if the distribution is negatively skewed. 
B) exactly 0.50. 
C) more than 0.50 if the distribution is positively skewed. 
D) exactly 0.50 if the distribution is symmetric and unimodal. 
A) less than 0.50 if the distribution is negatively skewed. 
B) exactly 0.50. 
C) more than 0.50 if the distribution is positively skewed. 
D) exactly 0.50 if the distribution is symmetric and unimodal.

Question 4

The length of the box in a box plot portrays the interquartile range.

Accepted Answer

A) True 
 B)False

Question 5

Ages of Volunteers The following data represent the ages in years of a sample of 25 volunteers from a charitable organization: 31, 43, 56, 23, 49, 42, 33, 61, 44, 28, 48, 38, 44, 35, 40, 64, 52, 42, 47, 39, 53, 27, 36, 35, and 20. {Ages of Volunteers Narrative} Compute the coefficient of variation, and express the number in the appropriate unit.

Accepted Answer

cv = 11.17 years \ 4

Question 6

Test Scores Suppose that an analysis of a set of test scores reveals that: Q 1 = 45, Q 2 = 85, Q 3 = 105. {Test Scores Narrative} What do these statistics tell you about the shape of the distribution of test scores?

Accepted Answer

The fact that Q ₂ - Q ₁ = 40 is

Generally speaking, if two variables are unrelated, the covariance will be a number close to zero.

Longevity and Salary A sample of eight observations of variables x (years of experience)and y (salary in $1,000s)is shown below: {Longevity and Salary Narrative} a. Calculate and interpret the covariance between x and y . b. Give a possible reason that the covariance is negative.

In a histogram, the proportion of the total area which must be to the right of the mean is:

The length of the box in a box plot portrays the interquartile range.

Test Scores Suppose that an analysis of a set of test scores reveals that: Q ₁ = 45, Q ₂ = 85, Q ₃ = 105. {Test Scores Narrative} What do these statistics tell you about the shape of the distribution of test scores?

What Is Statistics

Graphical and Tabular Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populat

Inference About Comparing Two Populat

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlat

Multiple Regression

Review of Statistical Inference

Filters

Exam 3: Numerical Descriptive Techniques

Generally speaking, if two variables are unrelated, the covariance will be a number close to zero.

Longevity and Salary A sample of eight observations of variables x (years of experience)and y (salary in $1,000s)is shown below: {Longevity and Salary Narrative} a. Calculate and interpret the covariance between x and y . b. Give a possible reason that the covariance is negative.

In a histogram, the proportion of the total area which must be to the right of the mean is:

The length of the box in a box plot portrays the interquartile range.

Test Scores Suppose that an analysis of a set of test scores reveals that: Q 1 = 45, Q 2 = 85, Q 3 = 105. {Test Scores Narrative} What do these statistics tell you about the shape of the distribution of test scores?

What Is Statistics

Graphical and Tabular Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populat

Inference About Comparing Two Populat

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlat

Multiple Regression

Review of Statistical Inference

Filters

Test Scores Suppose that an analysis of a set of test scores reveals that: Q ₁ = 45, Q ₂ = 85, Q ₃ = 105. {Test Scores Narrative} What do these statistics tell you about the shape of the distribution of test scores?