Data Analysis

After taking the required measurements from our 30 subjects, we computed the data into a SPSS file to generate graphs and tables. This was to aid us in our investigations as to whether there is a relationship between a person's height and his/her diastolic and systolic pressures.

First of all, we state the Null Hypothesis (H₀): There is no relationship between a person's height and his/her diastolic and systolic pressures.

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

Next, we identify the variables:
Height - A Scale data type
Diastolic & Systolic Pressures - 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...




Then, using the data from the tables above, we generated the Diastolic Pressure vs Height's graph and table...



From the diagram, a Pearson’s correlation coefficient of 0.414 indicates there is a positive, moderate and significant association between a person's diastolic pressure and height. Pearson’s r = 0.414, p < 0.05, N = 30

o The null hypothesis (H₀) is rejected.

Next, we generated the Systolic Pressure vs Height's graph and table...




From the diagram, a Pearson’s correlation coefficient of 0.501 indicates there is a positive, moderate and significant association between a person's systolic pressure and height. Pearson’s r = 0.501, p < 0.05, N = 30

o The null hypothesis (H₀) is rejected.

The null hypothesis H₀ is rejected for both Diastolic Pressure vs Height and Systolic Pressure vs Height. Due to the moderate relationship for both Diastolic and Systolic Pressures against Height, we decided to find out if there is a stronger relationship from our data. Therefore, we have decided to see whether there is a relationship between Diastolic Pressure and Systolic Pressure. Click on the Secondary Findings segment to find out more...