Question 1
|
Ventura
|
County
|
|
Males
|
430360
|
|
Females
|
401605
|
How large a sample that is proportional to the number of males and females in Ventura County, CA is required if you want to be 95% confident that the sample is representative of the population?
Question 2
|
Ventura
|
County
|
|
Married
|
210904
|
Suppose that you also know the number of males and females that are married in Ventura County, CA.
|
Ventura County
|
| |
|
Married
|
Not Married
|
|
Males
|
430360
|
210904
|
|
|
Females
|
401605
|
210904
|
|
How large a sample that is proportionate to the number of married males and females in Ventura County, CA is required if you want to be 95% confident that the sample is representative of the population? Note that you have to assume that the Males in the County are married to the Females in that county.
Question 3
Selected Economic Characteristics - Ventura County, CA: 2002
|
Total Population
|
770,658
|
|
|
|
|
Households
|
251,037
|
|
|
|
|
Household Size
|
Mean
|
3.07
|
Deviation
|
0.016
|
|
Household income (dollars)
|
Mean
|
75,748
|
Deviation
|
1524
|
How large a sample that will yield an average household size of 3.07 for Ventura County, CA is required if you want to be 95% confident that the sample is representative of the population?
Question 4
How large a sample that will yield an average household income of $75, 748 for Ventura County, CA is required if you want to be 95% confident that the sample is representative of the population?
Question 5
| |
Bush
|
Gore
|
|
Florida Votes Cast
|
2912790
|
291253
|
If you wanted to predict the 2004 Florida Presidential election, how large a sample would you have needed required if you want to be 95% confident that the sample is representative of the population?
|
Column
|
Variable
|
Variable Type:
Nominal
Ordinal
or
Interval
|
|
A
|
Household Identification Number 1-60
|
|
|
B
|
Weekly food expenditure, actual, e.g., 34.50
|
|
|
C
|
Number of persons in household, coded in nine categories
|
|
|
D
|
Annual income of household, actual, e.g., $10,000
|
|
|
E
|
Age of head of household, actual, e.g., 38
|
|
|
F
|
Education of head of household, coded in seven categories
|
|
|
G
|
Any children under 6 years in household, coded into two categories
|
|
|
H
|
Any children 6-18 years in household, coded into two categories
|
|
|
I
|
Annual income of household, coded in six categories
|
|
|
J
|
Age of head of household, coded into seven categories, 1-7
|
|
Assume that Sheet 1 shows census data. Your task is to describe that population. Nominal, ordinal, and interval variables have been included so that you will get a chance to work with nominal, ordinal, and interval variables.
Question 6
Including all three columns, Copy/Paste NominalOrdinalInterval.doc into your framework for your answer to CASE2, Question 6. In that copied/pasted table, input the word that appropriately describes each of the MKT403-HouseholdData.xls A-J variables as nominal (dichotomous), ordinal or interval.
Question 7
For variables B, D, and E in MKT403-HouseholdData.xls; what are the means and standard deviations? Why is the mean an inappropriate parameter for describing variables C, F, G, H, I and J?
Question 8
Tabulate variables C, F, G, H, I, and J in MKT403-HouseholdData.xls and present the resultant absolute frequency, cumulative frequency, and absolutive and cumulative percentage distributions.
Question 9
How large a sample will yield the average household income of the population described by Variable D in MKT403-Data.xls?
Question 10
How large a sample will yield the income distribution of the population described by Variable I in MKT403-HouseholdData.xls?