DATA ANALYSIS 2

Step 1: State Null Hypothesis and Alternate Hypothesis

H0: There is no relationship between the grip strength of both hands.
H1: There is a postive relationship between the grip strength of both hands.



Step 2: Identify Variables

Variable	Data Type
Right Grip Strength(kg)	Scale	Independent
Left Grip Strength(kg)	Scale	Dependent

Step 3: Select the Measure of Association

We have decided to use Pearson’s product moment correlation coefficient because we are looking for association between 2 variables

Step 4: Compute Test Value

Symmetric Measures

	Values	Asymp. Std. Errora	Approx. Tb	Approx. Sig.
Interval by interval       Pearson’s R Ordinal by Ordinal        Spearman Correlation N of Valid Cases	.943 .933 50	.010 .020	19.676 18.012	.000c .000c

a.     Not assuming the null hypothesis.

b.     Using the asymptotic standard error assuming the null hypothesis

3. Based on normal approximation

Result:

(P < 0.05): Reject Null Hypothesis
From the table above, a Pearson’s correlation coefficient of 0.943 indicates a very strong relationship between right grip strength and left grip strength. Since P = 0.00 which is smaller than 0.05, the null hypothesis is rejected. 

Therefore, there is a positive, very strong and significant association between right grip strength and left grip strength. ( r=0.943,p<0.05, N=50)