Describe the sample characteristics in terms of age, years

This
project includes the file Telco Extra CSUGlobalwhich is attached separately.

This
data file concerns a telecommunications company’s efforts to reduce churn in
its customer base.

Churn Definition = Amount of customers that have cancelled.

Each
case corresponds to a separate customer and records various demographic and
service usage information. The data file contains the data on about half of the
customers of the company, selected at random. In order to maintain the privacy
of the customers, the identifying information (specific address, Social
Security number) was stripped out.

The income data was purchased from an outside vendor. The
telecommunications company would like to get a better understanding of
customers who churn, as well as predict the income of a customer so that the
company need not spend money purchasing the income data from an outside vendor.

Examine the 34 variables in the Telco data file in terms of
their labels and values. Develop a research report to include the following
components.

1.
Introduction of the purpose of your paper. You should write this
section after completing components 2-6.

2.
Provide a brief introduction, in about half a page, of the Telco
data in terms of 1) the purpose of the data collection effort—you will need to
explain churn and income, 2) data collection method (Experimentation?
Self-administered survey? Personal interview? Or existing data?), 3) the study
population (i.e., who does the sample represent?), 4) sampling in terms of
sample type (probability/random or non-probability/non-random), and 5) sample
size.

3.
Describe the sample characteristics in terms of age, years
at current address, gender, level of education, income, marital
status, region, custcat, and churn of
the respondents in the sample based on the results of descriptive statistics
you perform on the nine variables.

4.
Choose churn to be the dependent variable in
two hypotheses that you will establish. DO NOT USE ANY OF THE HYPOTHESES
COVERED IN EARLIER MODULES. Each hypothesis should state clearly the direction
of the relationship between the pair of variables. Now determine the level of
measurement for each of your independent variables and the dependent variable
(in terms of categorical/discrete or continuous/scale).

5.
Perform proper bivariate statistical analysis to test each
hypothesis.

6.
Choose income to be the dependent variable in
two hypotheses you will establish. DO NOT USE ANY OF THE HYPOTHESES COVERED IN
EARLIER MODULES. Each hypothesis should state clearly the direction of the
relationship between the pair of variables. Now determine the level of
measurement for each of your independent variables and the dependent variable
(in terms of categorical/discrete or continuous/scale).

7.
Perform proper bivariate statistical analysis to test each
hypothesis.

Report the statistical results observed regarding your
hypotheses in existence, strength, and direction of the relationship. Did you
uncover any surprises or unexpected findings? Do statistical results support
your hypotheses in existence, strength, and direction?

Copy and paste any
data, tables, or graphs into the paper and label each section clearly. Your
well-written paper should include 8-10 pages of written material plus
additional pages as needed to accommodate graphics. Follow APA format, according
toCSU-Global Guide to Writing and APA
Requirements. Include a title page and reference page. Use outside academic
sources other than the textbook, course materials, or other information
provided as part of the course materials. The CSU-Global Library is a good
place to find these sources.

(linked at the
bottom of the page and also available on the Course Information page).
This data file concerns a telecommunications company’s efforts to reduce churn
in its customer base. Each case corresponds to a separate customer and records
various demographic and service usage information. The data file contains the data
on about half of the customers of the company, selected at random. In order to
maintain the privacy of the customers, the identifying information (specific
address, Social Security number) was stripped out.

The income data was purchased from an outside vendor. The
telecommunications company would like to get a better understanding of
customers who churn, as well as predict the income of a customer so that the
company need not spend money purchasing the income data from an outside vendor.

Examine the 34 variables in the Telco data file in terms of
their labels and values. Develop a research report to include the following
components.

1.
Introduction of the purpose of your paper. You should write this
section after completing components 2-6.

2.
Provide a brief introduction, in about half a page, of the Telco
data in terms of 1) the purpose of the data collection effort—you will need to
explain churn and income, 2) data collection method (Experimentation?
Self-administered survey? Personal interview? Or existing data?), 3) the study
population (i.e., who does the sample represent?), 4) sampling in terms of
sample type (probability/random or non-probability/non-random), and 5) sample
size.

3.
Describe the sample characteristics in terms of age, years
at current address, gender, level
ofeducation, income, marital status, region, custcat,
and churn of the respondents in the sample based on the
results of descriptive statistics you perform on the nine variables.

4.
Choose churn to be the dependent variable in
two hypotheses that you will establish. DO NOT USE ANY OF THE HYPOTHESES
COVERED IN EARLIER MODULES. Each hypothesis should state clearly the direction
of the relationship between the pair of variables. Now determine the level of
measurement for each of your independent variables and the dependent variable
(in terms of categorical/discrete or continuous/scale).

5.
Perform proper bivariate statistical analysis to test each
hypothesis.

6.
Choose income to be the dependent variable in
two hypotheses you will establish. DO NOT USE ANY OF THE HYPOTHESES COVERED IN
EARLIER MODULES. Each hypothesis should state clearly the direction of the
relationship between the pair of variables. Now determine the level of
measurement for each of your independent variables and the dependent variable
(in terms of categorical/discrete or continuous/scale).

7.
Perform proper bivariate statistical analysis to test each
hypothesis.

Report the statistical results observed regarding your
hypotheses in existence, strength, and direction of the relationship. Did you
uncover any surprises or unexpected findings? Do statistical results support
your hypotheses in existence, strength, and direction?

Copy and paste any
data, tables, or graphs into the paper and label each section clearly. Your
well-written paper should include 8-10 pages of written material plus
additional pages as needed to accommodate graphics. Follow APA format,
according toCSU-Global Guide to Writing and APA
Requirements. Include a title page and reference page. Use outside academic
sources other than the textbook, course materials, or other information
provided as part of the course materials. The CSU-Global Library is a good
place to find these sources.

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