Statistic: 12/30/08

Tuesday, December 30, 2008

Data Analsis - Systemetric Measures

* Please click on the above picture for a clearer view

So our final statement,

There is a positive strong relationship between lenth of forearm and feet.

And we reject our null hypothesis.

Data Analysis - Linear Regression

* Please click on the above picture for a clearer view

With reference to the coeffiecient table,

C ( Y intercept) = 0.823

M = 0.996 ( Positve Gradient )

Linear equation:

y = mx + c

y = 0.996x + 0.823

Data Analysis - Pearson's R

* Please click on the above picture for a clearer view

From the above table,

Pearson's R = 0.770

Since P = 0.005 , we take the Level of significant (P) as 0.05

N = 30 (sample size is 30)

Therefore, P is more than 0.05 hence we reject our null hypothesis.

Also since R = 0.770,

There is a positive strong significant relationship between the length of the forearm and the feet.

Data Analysis - Best Fit Line

*Please click the above picture for a clearer view

Through the best fit line in this scatter plot, we can see that there is a positive relationship between the length of the forearm and the length of the feet.

As you can see, there is one point that is much deviated from the rest of the points.
This is because when we take a look at our raw data, we found out that the difference of length between their hand and feet usually range between 0 - 2.35 cm. However, there was this particular participant whose difference between he's forearm and feet was not within that range, instead it was 4.1 cm.
Therefore, he could be the reason why that one point is really deviated from the rest.

So as a group, we thought about it to see if we could have cause that wrong reading.
But we realized soon after that we made no mistake during the data collection.
Because all of us made sure that the people measuring the participants, followed what we had plan during our planning for data collection. All of us witness that they measured the reading twice consistently with the same measuring instrument and at the standardization landmarks. Hence we decided to see our lecturer to ask if this plot if ok.
To our relieved, she said it was ok and told us maybe the data is just like that.