Does one minute exercise significantly increase pulse rate. The following variab

Question

Does one minute exercise significantly increase pulse rate. The following variables are collected for this study: 5. Gender (Female, Male), BMI (Body Mass Index). Age (four levels: 15-30, 31-45, 45-60, over 60), Blood Pressure (interval scale). Before Exercise Pulse Rate (BEPR), After ,Exerciss Pulse Rate (AFPR) Pulse Rate. Change (RateCh AFPR - BEPR). Determine what type of statistical method is appropriate for each of the following problems: (a) To compare if one minute exercise significantly increases the pulse rates. (b) To compare if the RateCh is significantly different between Female and Male. (c) To compare if the RateCh is significantly different among four different levels of Age. (d) To study if relationship between RateCh and BMI (e) To predict the RateCh using BMI and Blood Pressure. (0 We first group the RateCh into three levels as Low (0- 10), Medium (11 to 20) and High (20+) and name the grouped RateCh as GRateCh. What type of statistical method is useful to study the relationship between the GRateCh and Gender?

Explanation / Answer

Answer to the question)

a) Since there is only one variable, one can use a simple one sample Z or T test to analyse if the pulse rate increases as compared to a set benchmark

b) Since we need to compare pulse rates for two different groups , we can use the Two Sample difference of Mean T test, to analyse if the difference in the mean pulse rates of the two genders is significantly different

c) Since the one variable RateCh is being compared for more than 2 groups , One Way ANova Can be used in this scenario

d) Blood pressure and Body mass index both are ordinal variables, a spearman or a chi square test can be use to analyse the relation between these two variables

e) when prediction is the motive the best test used is regression analysis. In this the regression equation is obtained that helps in predicting the value of dependent variable with help of the value of the independent variable

f) Since there are two variables with 2 or more sub groups, the Two Way Anova can be used for such a datatype.

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