Hypothesis:
H0: the supplier do not correctly identified customer preferences
Ha: the supplier has correctly identified customer preferences.
Test:
Observed(O) | Proportion(P) | Expected(E = n*P) | (O_E)^2/E | |
120 | 0.62 | 124 | 0.129032258 | |
40 | 0.18 | 36 | 0.444444444 | |
18 | 0.12 | 24 | 1.5 | |
22 | 0.08 | 16 | 2.25 | |
Total | 200 | 1 | 200 | 4.323476703 |
df | 3 | |||
alpha | 0.05 | X^2 Stat | 4.3235 | |
X^2 Critical | 7.8147 | |||
P value | 0.2286 |
Decision:
X^2 stat < X^2 critical, Do not reject H0
P value > 0.05, Do not reject H0
Conclusion:
There is not enough evidence to claim that the supplier has correctly identified customer preferences.
Note : Use X^2 table for X^2 critical and P values
Get Answers For Free
Most questions answered within 1 hours.