· H0 The risk factors for heart disease listed as patient characteristics are not related to if the patient is male or female in the Framingham Heart Study. (Null Hypothesis)
· H1 The risk factors for heart disease listed as patient characteristics are related to if the patient is male or female in the Framingham Heart Study. (Alternative Hypothesis)
To conduct your analysis of the data, sort the data by the Sex/Gender variable and sort by smallest to largest.
Compute the means and standard deviations for continuous variables using AVERAGE(range) and STDEV(range) functions – Compute n(%) for dichotomous variables using COUNT(range) and COUNTIF (range, criteria) functions modifying ranges accordingly.
· Your submission should be 3 pages to discuss and display your findings.
· Two of these sources may be from the class readings, textbook, or lectures, but the others must be external.
Assignment
09
–
506 CT
)
attached
Excel
file )
·
Using the
Framingham Heart Study Dataset
, you will compare the risk factors in men and
women where you will use the following patient characteristics: age, systolic blood pressure,
diastolic blood pressure, use of anti
-
hypertensive medication, current smok
er, total serum
cholesterol, mg/dL, body mass index (BMI), and diabetes, by determining the means for each
risk factor. Create a table that summarizes your results.
·
H0 The risk factors for heart disease listed as patient characteristics are not related
to if the
patient is male or female in the Framingham Heart Study. (Null Hypothesis)
·
H1 The risk factors for heart disease listed as patient characteristics are related to if the patient
is male or female in the Framingham Heart Study. (Alternative Hyp
othesis)
S
teps of R Studio Analysis shown on page 67 in Introductory Statistics with R.
> x <
-
rnorm (50) > sd < (x) > var < (x) > median (x)
Steps of Excel Analysis
To conduct your analysis of the data, sort the data by the Sex/Gender variable and sort by smallest to
largest.
Compute the means and standard deviations for continuous variables using AVERAGE(range) and
STDEV(range) functions
–
Compute n(%) for dichoto
mous variables using COUNT(range) and COUNTIF
(range, criteria) functions modifying ranges accordingly.
·
Present your findings by cutting and pasting your results table in a
Word document
that
includes a title page, introduction, a discussion
where you
interpret the meaning of the
table,
and a conclusion.
·
Your submission should be 3
pages to discuss and display your findings.
·
Provide support for your statements with in
-
text citations from a minimum of
four
scholarly,
peer
reviewed articles.
·
Two of th
ese sources may be from the class readings, textbook, or lectures, but the others must
be external.
·
Clarification
·
We are going to be looking at the
standard deviation
function where we are still working
with the same Framingham dataset using the following variables:
age,
systolic
blood
pressure,
diastolic
blood
pressure,
use
of
anti
-
hypertensive
medication,
current
sm
oker,
total
serum
cholesterol,
mg/dL,
body
mass
index
(BMI),
and
diabetes,
by
determining
the
means
for
each
risk
factor.
·
We will also be creating a
table
that summarizes the results from your analysis.
Assignment 09 – 506 CT) attached Excel file )
Using the Framingham Heart Study Dataset, you will compare the risk factors in men and
women where you will use the following patient characteristics: age, systolic blood pressure,
diastolic blood pressure, use of anti-hypertensive medication, current smoker, total serum
cholesterol, mg/dL, body mass index (BMI), and diabetes, by determining the means for each
risk factor. Create a table that summarizes your results.
H0 The risk factors for heart disease listed as patient characteristics are not related to if the
patient is male or female in the Framingham Heart Study. (Null Hypothesis)
H1 The risk factors for heart disease listed as patient characteristics are related to if the patient
is male or female in the Framingham Heart Study. (Alternative Hypothesis)
Steps of R Studio Analysis shown on page 67 in Introductory Statistics with R.
> x <- rnorm (50) > sd < (x) > var < (x) > median (x)
Steps of Excel Analysis
To conduct your analysis of the data, sort the data by the Sex/Gender variable and sort by smallest to
largest.
Compute the means and standard deviations for continuous variables using AVERAGE(range) and
STDEV(range) functions – Compute n(%) for dichotomous variables using COUNT(range) and COUNTIF
(range, criteria) functions modifying ranges accordingly.
Present your findings by cutting and pasting your results table in a Word document that
includes a title page, introduction, a discussion where you interpret the meaning of the table,
and a conclusion.
Your submission should be 3 pages to discuss and display your findings.
Provide support for your statements with in-text citations from a minimum of four scholarly,
peer reviewed articles.
Two of these sources may be from the class readings, textbook, or lectures, but the others must
be external.
Clarification
We are going to be looking at the standard deviation function where we are still working
with the same Framingham dataset using the following variables: age, systolic blood
pressure, diastolic blood pressure, use of anti-hypertensive medication, current smoker,
total serum cholesterol, mg/dL, body mass index (BMI), and diabetes, by determining the
means for each risk factor.
We will also be creating a table that summarizes the results from your analysis.