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Systolic blood pressure and gender

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Added on  2019-12-28

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In the present test |Case Processing Summary||| |Sex|Cases | | ||Valid | |Total | ||| |Sex|Statist|Std.| | ||ic |Error | |SBP |Male |Mean |136.596|1.84624| | || |2| | ||95% Confidence Interval for | |132.934| | ||Mean |Bound |6| | ||Median |134.500| | | || |0

Systolic blood pressure and gender

   Added on 2019-12-28

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STATISTICS
Systolic blood pressure and gender_1
TABLE OF CONTENTSINTRODUCTION.......................................................................................................................................................................................3Question 1....................................................................................................................................................................................................3a. Determine whether there is a significant association between systolic blood pressure and gender....................................................3b. Determine whether there is a significant association between systolic blood pressure and BMI category. Interpret your results.....5c. Determine whether there is a significant association between systolic blood pressure and age as well as cholesterol......................6Question 2..................................................................................................................................................................................................13(a) Logistic regression...........................................................................................................................................................................13Question 3..................................................................................................................................................................................................16A. Carry out a Kaplan-Meier survival analysis.....................................................................................................................................16(b) Construct a survival plot and conduct a hypothesis test using the log rank test..............................................................................17© Cox regression...................................................................................................................................................................................20...................................................................................................................................................................................................................23(d) Significance of Cox proportional hazards model rather that logistic regression to determine which factors are associated withcoronary heart disease............................................................................................................................................................................24CONCLUSION..........................................................................................................................................................................................24
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INTRODUCTIONHeart related diseases are increasing across the globe and number of people affected from same are increasing consistently. Inthe current report varied data analysis tools are applied on the given data set. In this regard regression and other models are applied onthe data set and answers are interpreted in systematic way. Useful meanings are deduced from the regression results and same of othermethods. In this way entire research work is carried out in the report. Question 1a. Determine whether there is a significant association between systolic blood pressure and genderMaleFemaleSystolic blood pressure136.59(18.82)136.27(26.03)InterpretationDescriptive statistics is applied on the above data set in order to obtain an overview of the variables that are analyzed in orderto identify relationship between blood pressure and gender. Results are reflecting that mean value of blood pressure for male is 136.59and same for female is 136.27. This means that blood pressure level is almost same in male and female. However, there is somedifference in blood pressure across both groups. Blood pressure from mean value is changing at rapid pace in female then male. It canbe concluded that blood pressure level is almost same in case of both gender with rate of fluctuation of blood pressure in case of bothis different.Normality testCase Processing SummarySexCasesValidMissingTotalNPercentNPercentNPercentSBPMale104100.0%00.0%104100.0%
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Female111100.0%00.0%111100.0%DescriptivesSexStatisticStd. ErrorSBPMaleMean136.59621.8462495% Confidence Interval for MeanLower Bound132.9346Upper Bound140.25775% Trimmed Mean135.6197Median134.5000Variance354.496Std. Deviation18.82805Minimum98.00Maximum210.00Range112.00Interquartile Range21.50Skewness.993.237Kurtosis2.278.469FemaleMean136.27032.4707995% Confidence Interval for MeanLower Bound131.3737Upper Bound141.16685% Trimmed Mean134.3008Median130.0000Variance677.635Std. Deviation26.03143Minimum100.00
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Maximum224.00Range124.00Interquartile Range26.00Skewness1.298.229Kurtosis1.460.455Tests of NormalitySexKolmogorov-SmirnovaShapiro-WilkStatisticdfSig.StatisticdfSig.SBPMale.109104.004.944104.000Female.182111.000.885111.000a. Lilliefors Significance Correction
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Interpretation Results are reflecting that data is not normally distributed. Significance value of Shapiro Wilk test is 0.00<0.05 which meansthat data is not normally distributed. Histogram chart is prepared as part of normality test and it can be observed that in case of malethere is normality in the data to some extent as curve is bell shaped but not properly shaped. In case of female category histogram isclearly reflecting that curve is not bell shaped. Thus, it can be said that data is not normally distributed as reflected by Shapiro wilktest. H0: There is no significant mean difference between gender and blood pressure.H1: There is significant mean difference between gender and blood pressure.Group StatisticsSexNMeanStd. DeviationStd. Error MeanSBPMale104136.596218.828051.84624Female111136.270326.031432.47079Independent Samples TestLevene's Test for Equality ofVariancest-test for Equality of MeansFSig.tdfSig. (2-tailed)MeanDifferenceStd. ErrorDifference95% Confidence Interval ofthe DifferenceLowerUpperSBPEqual variances assumed6.391.012.105213.917.325883.11614-5.816536.46830Equal variances not assumed.106200.406.916.325883.08439-5.756136.40790
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