In: Statistics and Probability
Count of delay status |
delay status |
||
origin |
No |
Yes |
Grand Total |
EWR |
7 |
12 |
19 |
JFK |
21 |
6 |
27 |
LGA |
17 |
9 |
26 |
Grand Total |
45 |
27 |
72 |
We want to know whether delay status is dependent on the origin of the flight. Based on the information obtained from the table constructed, conduct an appropriate hypothesis test using the 10% level of significance. Use the critical value approach
### it is chi square for independent :
Ho : delay status is independent on the origin of flight VS
H1 : delay status is dependent on the origin of flight
Test statistics : chi square = 8.118
df = degree of freedom = 2
critical value = 4.605
Decision : we reject Ho if chi square statistics > chi square critical value here chi square statistics > chi square critical value we reject Ho
Conclusion : There is sufficient evidence to conclude that delay status is dependent on the origin of flight .
our claimed satisfy