Use a .05 significance level and the table below to test the claim that gender and left-handedness are independent.
Left-Handed Not Left-handed
Male | 83 | 17 |
Female | 184 | 16 |
Step 1: Claim: H0: Ha:
Step 2: Significance level: alpha=
Step 3: Test:
Values for required entry on calculator:
P-value:
Step 4:
Decision and Reason:
Conclusion (Complete sentence, in context)
Step 1: Claim : the Gender and left-handedness are independent.
Null Hypothesis H0: The gender and left-handedness are independent.
Alternative Hypothesis H1: The gender and left-handedness are not independent.
Step 2: Significance Level
Step 3: Under H0, the expected frequencies are
E(83) = 267*100/300 = 89
E(17) = 100-89 = 11
E(184) = 267-89 = 178
E(16) = 200-178 = 22
The Calculation table for Chi square test for independence is given below:
O | E | (O-E)^2/E | |
83 | 89 | 0.404 | |
17 | 11 | 3.273 | |
184 | 178 | 0.202 | |
16 | 22 | 1.636 | |
Total | 300 | 300 | 5.516 |
Degrees of freedom = (r-1)*(c-1) = 1
The P-Value is 0.0188
Step 4:
Decision and Reason : Reject H0 because p value is less than significance level
Conclusion : Hence at 5% Significance level, we donot have enough evidenec to support that he claim that gender and left-handedness are independent.
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