Secondary findings

Since our primary findings were not promising, our group has decided to test out an alternative null hypothesis between diastolic blood pressure and systolic blood pressure readings to see if there is a strong relationship in our study.

For this set, we state that our Null Hypothesis (H₀): There is no relationship between a person's diastolic pressure and his/her systolic pressure.

The Alternative Hypothesis (H₁): There is a relationship between a person's diastolic pressure and his/her systolic pressure.

Next, we identify the variables:
Diastolic Pressure - A Scale data type
Systolic Pressure - A Scale data type


We then proposed Pearson's R as an appropriate technique to test H₀ because our objective is to find the relationship between the 2 scale variables.

Let's examine the scatter plot to ascertain if the relationship is linear.

Here is our raw data table...

Diastolic pressure in mmHg VS Systolic pressure in mmHg


 

From the diagram, a Pearson’s correlation coefficient of 0.803 indicates there is a strong, positive and very significant association between a person's diastolic pressure and systolic pressure. Pearson’s r = 0.803, p<0.05, N=30

o  The null hypothesis (H₀) is rejected.

It is shown here that there is a strong, positive relationship for Diastolic Pressure against Systolic Pressure. Thus, the alternative hypothesis for Diastolic Pressure vs Systolic Pressure was accepted. (We did not generate Systolic Pressure against Diastolic Pressure as the result is the same as the above). This means that there is an association between a person's diastolic pressure and his/her systolic pressure and it is a strong relationship!