Below you will find data documentation for a partial BRFSS dataset, a list of tasks, and a portion of a mock manuscript for a study using BRFSS data. Your assignment is to analyze data and complete 5...

Below you will find data documentation for a partial BRFSS dataset, a list of tasks, and a portion of a mock manuscript for a study using BRFSS data. Your assignment is to analyze data and complete 5 tasks. Each task is worth 3 points. Please prepare a word document showing your work and statistical output for the tasks and complete the entries for Tables 1 and 2 (below). Please paste your google doc link in the Blackboard assignment comment box.
Your dataset is formatted for use in StatCrunch and contains the following variables:

Variable	Description
AGE	Age in years
SEX	1=male, 2=female
_RACEG2	1=white, 2=non-white
_RACEGR2	1=White, 2=Black, 3=Other, 4=Multiracial, 5=Hispanic
BMI	Body Mass Index
Diabdx	Diabetes dx, 1=yes, 0=no

Tasks:

1. Examine the distribution of Race and Sex.
a. Using StatCrunch, produce the
output
needed to create table 1 information for Race and Sex.
b. The
population
proportions (p_female=0.63, p_white=0.83) are known based on BRFSS 2008 total sample (~250,000) for adults 50 and older (considered the population for this exercise). Do the sample statistics for p_female
and p_white, the sample p-hats, provide
likely
estimates of the population parameters? What range of values would you expect for sample proportions for females and whites given the population parameters and a sample size of 500? (hint: use the standard deviation rule)
2. Examine the distribution for BMI.
a. Present StatCrunch
output
for BMI using descriptive statistics and a graph.
b. What descriptive statistics would you use for BMI for Table 1? Choose the appropriate measure of central tendency (CT) and spread. Justify your decision based on your interpretation of the statistical output. NOTE: For completing the table, replace
CT
with your choice of central tendency (mean or median) and
spread
with your choice for a measure of spread. Fill in the range details in the table footnote. See ‘Age in years’ in table 1 for an example.
3. Analyze BMI by Race
a. Present the statistical
output
examining the relationship of BMI and Race that would be needed to complete Table 2 (green highlighted areas). Also include a graphical representation of this relationship.
b. Calculate the 95% confidence intervals for whites and non-whites. Population standard deviations are known: s_white=5.63, s_nonwhite=6.36.
c. Comment on the differences in precision of the two confidence intervals. What factor(s) influence these differences?
4. Analyze the relationship between Diabetes and Race
a. Create the
output
needed to understand this relationship and complete the portions of Table 2 highlighted in yellow.
b. Interpret the relationship between Diabetes and Race as shown in table 2.
5. Create 95% confidence intervals for Diabetes by Race.
a. Describe the CLT conditions that are met for using confidence intervals.
b. Calculate and interpret each confidence interval in context. Complete highlighted areas of Table 2.
6. Examine the relationship between age and BMI
a. Using StatCrunch create the output needed to understand the relationship between age and BMI. Please use both a graph and a numerical approach.
b. Interpret your finding from 6a.

Manuscript excerpt:


Health disparities exist among racial and ethnic groups. Here we present results examining the relationship between body mass index (BMI) and prevalence of diabetes considering potential differences by race.
Method
We selected a random sample of 500 participants from the 2008 Behavioral Risk Factor Surveillance System (BRFSS). The BRFSS is an annual phone survey conducted across the United States and territories under the guidance of the Centers for Disease Control. Our sample was selected to be 50 years or older. We used descriptive statistics to examine the distribution and associated 95% confidence intervals of demographic characteristics and health indicators by race/ethnic group.
Table 1. Demographic characteristics and health indicators from subsample of 2008 BRFSS participants.

Demographic characteristic	N=500
Sex [n (%)]
Female	___ (__._)
Male	___ (__._)
Race/ethnic group* [n (%)]
African American (non-Hispanic)	__ (_._)
Caucasian (non-Hispanic)	___ (__._)
Hispanic	__ (_._)
Other race	__ (_._)
Multiracial	_ (_._)
Age in years~ [Median (IQR)]	63 (18.0)
Health indicators
Body Mass Index [CT (spread)]*^	__._ (_._)
Diabetes [n (%)]
yes	__ (__._)
no	___ (__._)
*N
~Range from 50 to 95 yrs
^Range from __._ to __._

Table 2. Body Mass Index and Diabetes Diagnosis by Race

Health Indicator	White	Non-White
Body Mass Index [Mean, (95% CI)]	n=___	__._ (__._, __._)	n=__	__._ (__._, __._)
Diabetes Diagnosis [% yes, (95% CI)]	n=___	__._ (__._, __._)	n=__	__._ (__._, __._)
CI=Confidence Interval