Chi-Square Test for Dependence

STATISTICS
CHI-SQUARE
STUDENT ID:
[Pick the date]
1

Test 1: Lonely Recode & Scared Recode
Step 1: The requisite hypotheses are as stated below.
Null Hypothesis (H0): There is no significant dependence between the variables lonely recode
and scared recode. Thus, these can be assumed to be independent variables.
Alternative Hypothesis (H1): There is significant dependence between the variables lonely recode
and scared recode. Thus, these can be assumed to be dependent variables.
Step 2: Requisite assumptions
The key assumption with regards to Chi-square test is that the underlying variable should be
categorical in nature which is the case here. Further, it is expected that the data used for
conducting analysis should be in the form of frequencies or case count which is also satisfied for
the given scenario.
Step 3: The relevant test to be used here is the Chi-square test of independence which aims at
testing if the two variables selected are independent of each other or not.
Step 4: The result of the chi-square test has been obtained using SPSS and the relevant extract is
provided below.