Question 1

The U.S.Bureau of Labor Statistics (BLS) compiles data on a number of variables.Which of the following BLS variables is categorical?

Accepted Answer

A) Consumer expenditures 
B) Type of workplace injuries 
C) Wages by occupation 
D) Employment costs 
E) Productivity by industry 
A) Consumer expenditures 
B) Type of workplace injuries 
C) Wages by occupation 
D) Employment costs 
E) Productivity by industry

Question 2

The following scatterplot shows output/hour labor and years.The graphical display is an example of what type of data?

Accepted Answer

A) Cross-sectional 
B) Nominal 
C) Categorical 
D) Time Series 
E) Ordinal 
A) Cross-sectional 
B) Nominal 
C) Categorical 
D) Time Series 
E) Ordinal

Question 3

A first-order autoregressive model, AR (1) was fit to monthly closing stock prices, adjusted for dividends, of Boeing Corporation from January 2006 through August 2008 (closing price on the first trading day of the month).Based on the results shown below, the forecast a month in which the previous month's closing price was $67.52 is ________________________ .

Accepted Answer

A) $65.67 
B) $68.26 
C) $71.25 
D) $74.06 
E) Cannot be determined from the information given. 
A) $65.67 
B) $68.26 
C) $71.25 
D) $74.06 
E) Cannot be determined from the information given.

Question 4

According to the partial regression analysis output below, what is the t-statistic to test whether the regression slope is significant?

Accepted Answer

A) 6.20 
B) 13.88 
C) 0.07917 
D) 2.58307 
E) 3.73 
A) 6.20 
B) 13.88 
C) 0.07917 
D) 2.58307 
E) 3.73

Question 5

A real estate agency, located in a metropolitan area in the northeastern U.S., kept data on the various types of properties purchased in the area.Historically, 15% of purchases were for condominiums, 30% were for townhouses, 40% for single family homes, 10% for commercial properties and 5% for land.With changing demographics, the agency wondered if the current distribution matches the historical distribution.Recent data showed the following:
 
The value of the Chi-square test statistic is ________________________ .

Accepted Answer

A) χ 2 = 5.993 
B) χ 2 = 62.538 
C) χ 2 = 101.482 
D) χ 2 = 77.431 
E) χ 2 = 8.101 
A) χ 2 = 5.993 
B) χ 2 = 62.538 
C) χ 2 = 101.482 
D) χ 2 = 77.431 
E) χ 2 = 8.101

Question 6

If a parameter is computed from a set of data, which of the following statements is true?

Accepted Answer

A) The data are obtained from a census. 
B) The data are obtained from a random sample. 
C) The data is from a sample that is representative of the population. 
D) The data are obtained from a stratified sample. 
E) The data must be quantitative. 
A) The data are obtained from a census. 
B) The data are obtained from a random sample. 
C) The data is from a sample that is representative of the population. 
D) The data are obtained from a stratified sample. 
E) The data must be quantitative.

Question 7

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related.Based on the results below, the standard error of the slope for this estimated regression equation is ________________________ .

Accepted Answer

A) 3.381 
B) 0.2149 
C) 5.58485 
D) 82.8 
E) 1.4882 
A) 3.381 
B) 0.2149 
C) 5.58485 
D) 82.8 
E) 1.4882

The U.S.Bureau of Labor Statistics (BLS) compiles data on a number of variables.Which of the following BLS variables is categorical?

The following scatterplot shows output/hour labor and years.The graphical display is an example of what type of data?

According to the partial regression analysis output below, what is the t-statistic to test whether the regression slope is significant?

If a parameter is computed from a set of data, which of the following statements is true?

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related.Based on the results below, the standard error of the slope for this estimated regression equation is ________________________ .

Data and Decisions

Visualizing and Describing Categorical Data

Describing, Displaying, and Visualizing Quantitative Data

Correlation and Linear Regression

Randomness and Probability

Random Variables and Probability Models

The Normal and Other Continuous Distributions

Data Sources: Observational Studies and Surveys

Data Sources: Experiments

Sampling Distributions and Confidence Intervals for Proportio

Confidence Intervals for Means

Testing Hypotheses

More About Tests and Intervals

Comparing Two Means

Inference for Counts: Chi-Square Tests

Inference for Regression

Understanding Residuals

Multiple Regression

Building Multiple Regression Models

Time Series Analysis

Introduction to Data Mining

Quality Control

Nonparametric Methods

Decision Making and Risk

Analysis of Experiments and Observational Studies

Filters

Exam 26: Statistics and Data Analysis

The U.S.Bureau of Labor Statistics (BLS) compiles data on a number of variables.Which of the following BLS variables is categorical?

The following scatterplot shows output/hour labor and years.The graphical display is an example of what type of data?

According to the partial regression analysis output below, what is the t-statistic to test whether the regression slope is significant?

If a parameter is computed from a set of data, which of the following statements is true?

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related.Based on the results below, the standard error of the slope for this estimated regression equation is ________________________ .

Data and Decisions

Visualizing and Describing Categorical Data

Describing, Displaying, and Visualizing Quantitative Data

Correlation and Linear Regression

Randomness and Probability

Random Variables and Probability Models

The Normal and Other Continuous Distributions

Data Sources: Observational Studies and Surveys

Data Sources: Experiments

Sampling Distributions and Confidence Intervals for Proportio

Confidence Intervals for Means

Testing Hypotheses

More About Tests and Intervals

Comparing Two Means

Inference for Counts: Chi-Square Tests

Inference for Regression

Understanding Residuals

Multiple Regression

Building Multiple Regression Models

Time Series Analysis

Introduction to Data Mining

Quality Control

Nonparametric Methods

Decision Making and Risk

Analysis of Experiments and Observational Studies

Filters