Question 1

Why are long-range predictions considered essential to managing a firm?

Accepted Answer

A) To develop plans for possible new plants 
B) To have raw materials available for future demand 
C) To develop plans for future financing 
D) All of these answers are correct 
A) To develop plans for possible new plants 
B) To have raw materials available for future demand 
C) To develop plans for future financing 
D) All of these answers are correct

Question 2

How can you describe the moving average method?

Accepted Answer

A) A method that smooths out a time series 
B) A method to deseasonalize a time series 
C) A technique that results in a trend-line equation 
D) A method for computing the slope of a trend line 
A) A method that smooths out a time series 
B) A method to deseasonalize a time series 
C) A technique that results in a trend-line equation 
D) A method for computing the slope of a trend line

Question 3

To calculate quarterly typical seasonal indexes,how many periods are included in the ratio-to-moving-average method?

Accepted Answer

A) 2 
B) 4 
C) 6 
D) 12 
A) 2 
B) 4 
C) 6 
D) 12

Question 4

A collection of data recorded over a weekly,monthly,quarterly,or yearly time interval is known as ________.

Accepted Answer

A) a weighted moving average 
B) a time series 
C) a linear trend 
D) seasonal variation 
A) a weighted moving average 
B) a time series 
C) a linear trend 
D) seasonal variation

Question 5

For the third quarter,the sales are 2,000 units; the seasonal index for the quarter is 0.80. What are the deseasonalized sales for the quarter?

Accepted Answer

A) 1,600 
B) 2,000 
C) 2,080 
D) 2,500 
A) 1,600 
B) 2,000 
C) 2,080 
D) 2,500

Why are long-range predictions considered essential to managing a firm?

How can you describe the moving average method?

To calculate quarterly typical seasonal indexes,how many periods are included in the ratio-to-moving-average method?

A collection of data recorded over a weekly,monthly,quarterly,or yearly time interval is known as ________.

For the third quarter,the sales are 2,000 units; the seasonal index for the quarter is 0.80. What are the deseasonalized sales for the quarter?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Multiple Regression Analysis

Nonparametric Methods: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

Exam 18: Time Series and Forecasting

Why are long-range predictions considered essential to managing a firm?

How can you describe the moving average method?

To calculate quarterly typical seasonal indexes,how many periods are included in the ratio-to-moving-average method?

A collection of data recorded over a weekly,monthly,quarterly,or yearly time interval is known as ________.

For the third quarter,the sales are 2,000 units; the seasonal index for the quarter is 0.80. What are the deseasonalized sales for the quarter?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Multiple Regression Analysis

Nonparametric Methods: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters