Applied Statistics in Business and Economics
5th Edition
ISBN: 9781259329050
Author: DOANE
Publisher: MCG
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Chapter 2, Problem 29CE
a.
To determine
Identify the type of the given data as categorical, discrete numerical or continuous numerical.
b.
To determine
Identify the type of the given data as categorical, discrete numerical or continuous numerical.
c.
To determine
Identify the type of the given data as categorical, discrete numerical or continuous numerical.
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12. A sociologist hypothesizes that the crime rate is higher in areas
with higher poverty rate and lower median income. She col-
lects data on the crime rate (crimes per 100,000 residents),
the poverty rate (in %), and the median income (in $1,000s)
from 41 New England cities. A portion of the regression results
is shown in the following table.
Standard
Coefficients
error
t stat
p-value
Intercept
-301.62
549.71
-0.55 0.5864
Poverty
53.16
14.22
3.74 0.0006
Income
4.95
8.26
0.60 0.5526
a.
b.
Are the signs as expected on the slope coefficients?
Predict the crime rate in an area with a poverty rate of
20% and a median income of $50,000.
3. Using data from 50 work
2. The owner of several used-car dealerships believes that the
selling price of a used car can best be predicted using the car's
age. He uses data on the recent selling price (in $) and age of
20 used sedans to estimate Price = Po + B₁Age + ε. A portion
of the regression results is shown in the accompanying table.
Standard
Coefficients
Intercept
21187.94
Error
733.42
t Stat p-value
28.89 1.56E-16
Age
-1208.25
128.95 -9.37
2.41E-08
a. What is the estimate for B₁? Interpret this value.
b. What is the sample regression equation?
C. Predict the selling price of a 5-year-old sedan.
ian income of $50,000.
erty rate of
13. Using data from 50 workers, a researcher estimates Wage =
Bo+B,Education + B₂Experience + B3Age+e, where Wage
is the hourly wage rate and Education, Experience, and Age
are the years of higher education, the years of experience, and
the age of the worker, respectively. A portion of the regression
results is shown in the following table. ni ogolloo bash
1
Standard
Coefficients error
t stat p-value
Intercept
7.87
4.09
1.93
0.0603
Education
1.44
0.34
4.24 0.0001
Experience
0.45
0.14
3.16
0.0028
Age
-0.01
0.08 -0.14 0.8920
a. Interpret the estimated coefficients for Education and
Experience.
b. Predict the hourly wage rate for a 30-year-old worker
with four years of higher education and three years of
experience.
Chapter 2 Solutions
Applied Statistics in Business and Economics
Ch. 2.1 - What type of data (categorical, discrete...Ch. 2.1 - What type of data (categorical, discrete...Ch. 2.1 - What type of data (categorical, discrete...Ch. 2.1 - (a) Give three original examples of discrete data,...Ch. 2.1 - Which type of data (cross-sectional or time...Ch. 2.1 - Which type of data (cross-sectional or time...Ch. 2.1 - Prob. 7SECh. 2.1 - Give an original example of a time series variable...Ch. 2.2 - Which measurement level (nominal, ordinal,...Ch. 2.2 - Which measurement level (nominal, ordinal,...
Ch. 2.2 - Which measurement level (nominal, ordinal,...Ch. 2.2 - Which measurement level (nominal, ordinal,...Ch. 2.2 - Vail Resorts uses various types of scales and...Ch. 2.2 - (a) Would the measurement level for the data...Ch. 2.3 - Would you use a sample or a census to measure each...Ch. 2.3 - Would you use a sample or a census to measure each...Ch. 2.3 - The target population is all stocks in the SP 500...Ch. 2.4 - The target population is all students in your...Ch. 2.4 - Prob. 19SECh. 2.4 - Suppose you want to study the number of e-mail...Ch. 2.4 - In Excel, type a list containing names for 10 of...Ch. 2.6 - What sources of error might you encounter if you...Ch. 2.6 - What kind of survey (mail, telephone, interview,...Ch. 2.6 - What kind of survey (mail, telephone, interview,...Ch. 2.6 - Prob. 27SECh. 2.6 - What problems are evident in the wording of these...Ch. 2 - Define (a) data, (b) data set (c) observation, and...Ch. 2 - How do business data differ from scientific...Ch. 2 - Distinguish (a) univariate, bivariate, and...Ch. 2 - Define the four measurement levels and give an...Ch. 2 - Prob. 5CRCh. 2 - (a) List three reasons why a census might be...Ch. 2 - Prob. 7CRCh. 2 - (a) List four methods of random sampling. (b) List...Ch. 2 - List five (a) steps in a survey, (b) issues in...Ch. 2 - Prob. 10CRCh. 2 - Prob. 29CECh. 2 - Prob. 30CECh. 2 - Prob. 31CECh. 2 - Which measurement level (nominal, ordinal,...Ch. 2 - Below are five questions from a survey of MBA...Ch. 2 - Below are five questions from a survey of MBA...Ch. 2 - Below are five questions from a survey of MBA...Ch. 2 - Prob. 36CECh. 2 - Identify the following data as either time series...Ch. 2 - Would you use a sample or a census to measure each...Ch. 2 - Would you use a sample or census to measure each...Ch. 2 - Is each of the following a parameter or a...Ch. 2 - Prob. 41CECh. 2 - Prob. 42CECh. 2 - Prob. 43CECh. 2 - Prob. 44CECh. 2 - The IRS estimates that the average taxpayer spent...Ch. 2 - The General Accounting Office conducted random...Ch. 2 - Arsenic (a naturally occurring, poisonous metal)...Ch. 2 - Prob. 48CECh. 2 - Would you expect Noodles Company to use a sample...Ch. 2 - Prob. 50CECh. 2 - Examine each of the following statistics. Which...Ch. 2 - The National Claims History (NCH) contains records...Ch. 2 - Prior to starting a recycling program, a city...Ch. 2 - A university wanted to survey alumni about their...Ch. 2 - To protect baby scallops and ensure the survival...Ch. 2 - Prob. 56CECh. 2 - Households can sign up for a telemarketing no-call...Ch. 2 - What level of measurement (nominal, ordinal,...Ch. 2 - Insurance companies are rated by several rating...Ch. 2 - A tabletop survey by a restaurant asked the...Ch. 2 - Give two original examples of (a) discrete data...Ch. 2 - Prob. 64CECh. 2 - Below are 64 names of employees at NilCo. Colors...Ch. 2 - From the display below, pick five cards (without...Ch. 2 - Prob. 69CECh. 2 - You can test Excels algorithm for selecting random...
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