DATA ANALYSIS 1

Data Analysis 1

Step 1: State Null Hypothesis and Alternate Hypothesis

H0: There is no relationship between forearm circumference and grip strength.
H1: There is a postive relationship between forearm circumference and grip strength.



Step 2: Identify Variables

Variable	Data Type
Forearm Circumference (cm)	Scale	Independent
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	.673 .610 50	.088 102	6.305 5.332	.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 0.673 indicates a strong relationship between right grip strength and right forearm. Since P = 0.00 which is smaller than 0.05, the null hypothesis is rejected. 
Therefore, there is a positive, strong and significant association between right grip strength and right forearm circumference. ( r=0.673,p<0.05, N=50)