Title
ABC/123 Version X
1
Part 3 Inferential Statistics
QNT/561 Version 9
1
Part 3: Inferential Statistics Option 1: Manufacturing Database
1. The National Association of Manufacturers (NAM) contracts with your consulting company to determine the estimate of mean number of production workers. Construct a 95% confidence interval for the population mean number of production workers. What is the point estimate? How much is the margin of error in the estimate?
2. Suppose the average number of employees per industry group in the manufacturing database is believed to be less than 150 (1000s). Test this belief as the alternative hypothesis by using the 140 SIC Code industries given in the database as the sample. Let α = .10. Assume that the number of employees per industry group are normally distributed in the population.
3. You are also required to determine whether there is a significant difference between mean Value Added by the Manufacturer and the mean Cost of Materials in manufacturing using alpha of 0.01.
4. You are requested to determine whether there is a significantly greater variance among values of Cost of Materials than of End-of-Year Inventories.
Option 2: Hospital Database
1. As a consultant, you need to use the Hospital database and construct a 90% confidence interval to estimate the average census for hospitals. Change the level of confidence to 99%. What happened to the interval? Did the point estimate change?
2. Determine the sample proportion of the Hospital database under the variable “service” that are “general medical” (category 1). From this statistic, construct a 95% confidence interval to estimate the population proportion of hospitals that are “general medical.” What is the point estimate? How much error is there in the interval?
3. Suppose you want to “prove” that the average hospital in the United States averages more than 700 births per year. Use the hospital database as your sample and test this hypothesis. Let alpha be 0.01.
4. On average, do hospitals in the United States employ fewer than 900 personnel? Use the hospital database as your sample and an alpha of 0.10 to test this figure as the alternative hypothesis. Assume that the number of births and number of employees in the hospitals are normally distributed in the population.
Option 3: Consumer Food
1. Suppose you want to test to determine if the average annual food spending for a household in the Midwest region of the U.S. is more than $8,000. Use the Midwest region data and a 1% level of significance to test this hypothesis. Assume that annual food spending is normally distributed in the population.
2. Test to determine if there is a significant difference between households in a metro area and households outside metro areas in annual food spending. Let α = 0.01.
3. The Consumer Food database contains data on Annual Food Spending, Annual Household Income, and Non-Mortgage Household Debt broken down by Region and Location. Using Region as an indepe ...
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TitleABC123 Version X1Part 3 Inferential Statistics.docx
1. Title
ABC/123 Version X
1
Part 3 Inferential Statistics
QNT/561 Version 9
1
Part 3: Inferential Statistics Option 1: Manufacturing Database
1. The National Association of Manufacturers (NAM) contracts
with your consulting company to determine the estimate of
mean number of production workers. Construct a 95%
confidence interval for the population mean number of
production workers. What is the point estimate? How much is
the margin of error in the estimate?
2. Suppose the average number of employees per industry group
in the manufacturing database is believed to be less than 150
(1000s). Test this belief as the alternative hypothesis by using
the 140 SIC Code industries given in the database as the
sample. Let α = .10. Assume that the number of employees per
industry group are normally distributed in the population.
3. You are also required to determine whether there is a
significant difference between mean Value Added by the
Manufacturer and the mean Cost of Materials in manufacturing
using alpha of 0.01.
4. You are requested to determine whether there is a
significantly greater variance among values of Cost of Materials
than of End-of-Year Inventories.
Option 2: Hospital Database
1. As a consultant, you need to use the Hospital database and
2. construct a 90% confidence interval to estimate the average
census for hospitals. Change the level of confidence to 99%.
What happened to the interval? Did the point estimate change?
2. Determine the sample proportion of the Hospital database
under the variable “service” that are “general medical”
(category 1). From this statistic, construct a 95% confidence
interval to estimate the population proportion of hospitals that
are “general medical.” What is the point estimate? How much
error is there in the interval?
3. Suppose you want to “prove” that the average hospital in the
United States averages more than 700 births per year. Use the
hospital database as your sample and test this hypothesis. Let
alpha be 0.01.
4. On average, do hospitals in the United States employ fewer
than 900 personnel? Use the hospital database as your sample
and an alpha of 0.10 to test this figure as the alternative
hypothesis. Assume that the number of births and number of
employees in the hospitals are normally distributed in the
population.
Option 3: Consumer Food
1. Suppose you want to test to determine if the average annual
food spending for a household in the Midwest region of the U.S.
is more than $8,000. Use the Midwest region data and a 1%
level of significance to test this hypothesis. Assume that annual
food spending is normally distributed in the population.
2. Test to determine if there is a significant difference between
households in a metro area and households outside metro areas
in annual food spending. Let α = 0.01.
3. The Consumer Food database contains data on Annual Food
Spending, Annual Household Income, and Non-Mortgage
11. 52.390.5914.2Tosco713282597510.91.370.2423Travelers637609
38655514.92.540.417Ultramar Diamond
Shamrock71088255959.51.941.116.1Union
Carbide26502696428.84.530.7910.7United States Surgical
Corporation5117217267.51.210.1629UNOCAL76064753028.92.
650.815.5UNUM640771320015.22.590.5617USX-
Marathon7157541056512.61.580.7619.8Valero
Energy7575624939.62.030.4217.2Warner-
Lambert58180803130.71.040.5135.7WEIS
Markets418199729.21.870.9416.9Wellman2108313194.80.970.3
520.5Winn-Dixie
Stores413219292115.31.360.9827.2WITCO221872298141.551.1
224.9Zenith Nation Insurance660112527.81.57117
Title
ABC/123 Version X
1
Week 6 Options
QNT/561 Version 9
1
University of Phoenix MaterialOption 1: Manufacturing
Database
This database contains six variables taken from 20 industries
and 140 subindustries in the United States. Some of the
industries are food products, textile mill products, furniture,
chemicals, rubber products, primary metals, industrial
machinery, and transportation equipment. The six variables are
Number of Employees, Number of Production Workers, Value
Added by Manufacture, Cost of Materials, End-of-Year
Inventories, and Industry Group. Two variables, Number of
Employees and Number of Production Workers, are in units of
1000. Three variables, Value Added by Manufacture, Cost of
Materials, and End-of-Year Inventories, are in million-dollar
12. units. The Industry Group variable consists of numbers from 1
to 20 to denote the industry group to which the particular
subindustry belongs. Option 2: Hospital Database
This database contains observations for six variables on U.S.
hospitals. These variables include Geographic Region, Control,
Service, Census, Number of Births, and Personnel.
The region variable is coded from 1 to 7, and the numbers
represent the following regions:
1 = South
2 = Northeast
3 = Midwest
4 = Southwest
5 = Rocky Mountain
6 = California
7 = Northwest
Control is a type of ownership. Four categories of control are
included in the database:
1 = government, nonfederal
2 = nongovernment, not-for-profit
3 = for-profit
4 = federal government
Service is the type of hospital. The two types of hospitals used
13. in this database are:
1 = general medical
2 = psychiatric
Option 3: Consumer Food
The consumer food database contains five variables: Annual
Food Spending per Household, Annual Household Income, Non-
Mortgage Household Debt, Geographic Region of the U.S. of
the Household, and Household Location. There are 200 entries
for each variable in this database representing 200 different
households from various regions and locations in the United
States. Annual Food Spending per Household, Annual
Household Income, and Non-Mortgage Household Debt are all
given in dollars. The variable Region tells in which one of four
regions the household resides. In this variable, the Northeast is
coded as 1, the Midwest is coded 2, the South is coded as 3, and
the West is coded as 4. The variable Location is coded as 1 if
the household is in a metropolitan area and 2 if the household is
outside a metro area. The data in this database were randomly
derived and developed based on actual national norms.
Option 4: Financial Database
The financial database contains observations on seven variables
for 100 companies. The variables are Type of Industry, Total
Revenues ($ millions), Total Assets ($ millions), Return on
Equity (%), Earnings per Share ($), Dividends per Share ($),
and Average Price per Earnings (P/E) ratio. The companies
represent seven different types of industries. The variable Type
displays a company's industry type as:
1 = apparel
2 = chemical