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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
    Details:
    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:
    Mean
    Median
    Mode
    Quartiles
    Range
    Variance
    Standard deviation
    Skewness
    Kurtosi
    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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    https://brainmass.com/statistics/regression-model-validation/descriptive-analysis-of-diastolic-blood-pressure-578783

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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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