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Descriptive Analysis of diastolic blood pressure

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MGMT814-1402C-01 Quantitative Research Methods
Task Name: Phase 2 Individual Project
Deliverable Length: SPSS Outputs and 200-500 words answering questions
Weekly tasks or assignments (Individual or Group Projects) will be due by Monday, and late submissions will be assigned a late penalty in accordance with the late penalty policy found in the syllabus. NOTE: All submission posting times are based on midnight Central Time.

Using the data set electric.sav, use SPSS to run a distribution analysis on diastolic blood pressure (DBP58), examining the following for individuals who have had no history of cardiovascular heart disease and the group with a history of cardiovascular heart disease (CHD). The variable that looks at history is CHD.

Compute the following for each group:
Standard deviation
Under Plots, run a histogram, and show the normal curve on the histogram and run Stem-and-Leaf and Box-and-Whiskers
Submit your outputs from all SPSS runs, and briefly describe your results by answering the following questions:

What can you determine from the measures of skewness and kurtosis relative to a normal curve? What are the mean and median?
Does one seem better than the other to represent the scores?
What differences can you see in the pattern of responses those with history versus those with no history?
What information can you determine from the box plots?
Please submit your assignment.

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Solution Summary

This solution is comprised of a detailed explanation descriptive analysis of diastolic blood pressure with respect to for individuals who have had no history of cardiovascular heart disease and the group with a history of cardiovascular heart disease (CHD). This solution mainly discussed the descriptive output generated using SPSS software.

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Variation and Prediction Intervals (Descriptive Statistics)

Please help with the following problems.

Finding the Measures of Variation:
Find the (a) explained variation, (b) unexplained variation, (c) total variation, (d) coefficient of determination, and (e) standard error estimate Se. In each case, there is a significant linear correlation so that it is reasonable to use the regression equation when making predictions.

Blood Pressure Measurement: Fourteen different second-year medical students took blood pressure measurements of the same patient and the results are listed below (data provided by Marc Triola, MD).

Systolic 138 130 135 140 120 125 120
Diastolic 82 91 100 100 80 90 80

Systolic 130 130 144 143 140 130 150
Diastolic 80 80 98 105 85 70 100

Please show step by step process on a word documents and include explanation of how you got the results. Please do not use word doc version 2007.

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