Hypothesis: MPs above a certain age have a low attendance.
| MPs below 50 | MPs above 50 | |
|---|---|---|
| Mean | 74.09 | 79.07 |
| Standard Deviation | 17.34 | 16.23 |
| N | 161 | 333 |
p = 0.0024
Since the p-value of the sample is 0.0024 we can say with 0.24 % confidence that the difference in the samples is due to random sampling. Hence we can reject the hypothesis that the two samples are of the same population. Hence comparing the mean the Attendance of old MP's is better than young MP's.
Hypothesis: MPs from small states maintain better attendance in parliament.
| MPs from large states | MPs from small states | |
|---|---|---|
| Mean | 76.82 | 81.3 |
| Standard Deviation | 16.47 | 14.48 |
| N | 290 | 44 |
t = 1.8730
p = 0.0659
Since the p-value of the sample is 0.0659 we can say with 6.59 % confidence that the difference in the samples is due to random sampling. Hence we can't reject the hypothesis that the two samples are of the same population because maximum value of p is 0.05 for rejection.
p = 0.0659
Since the p-value of the sample is 0.0659 we can say with 6.59 % confidence that the difference in the samples is due to random sampling. Hence we can't reject the hypothesis that the two samples are of the same population because maximum value of p is 0.05 for rejection.
Hypothesis: MPs from UPA (in power) or NDA (opposition) maintain better attendance.
| MPs from UPA/NDA | Other MPs | |
|---|---|---|
| Mean | 78.09 | 75.84 |
| Standard Deviation | 16.63 | 16.98 |
| N | 141 | 490 |
t = 1.3383
p = 0.1820
Since the p-value of the sample is 0.182 we can say with 18.2 % confidence that the difference in the samples is due to random sampling. Hence we can't reject the hypothesis that the two samples are of the same population because maximum value of p is 0.05 for rejection.
p = 0.1820
Since the p-value of the sample is 0.182 we can say with 18.2 % confidence that the difference in the samples is due to random sampling. Hence we can't reject the hypothesis that the two samples are of the same population because maximum value of p is 0.05 for rejection.
Hypothesis: MPs from North India maintain a better attendance than MPs from South India.
| MPs from North India | MPs from South India | |
|---|---|---|
| Mean | 80.53 | 73.21 |
| Standard Deviation | 14.98 | 17 |
| N | 134 | 117 |
t = 3.5997
p = 0.0004
Since the p-value of the sample is 0.0004 we can say with 0.04 % confidence that the difference in the samples is due to random sampling. Hence we can reject the hypothesis that the two samples are of the same population. Hence comparing the mean the Attendance of north India is better than South India.
p = 0.0004
Since the p-value of the sample is 0.0004 we can say with 0.04 % confidence that the difference in the samples is due to random sampling. Hence we can reject the hypothesis that the two samples are of the same population. Hence comparing the mean the Attendance of north India is better than South India.
Hypothesis: More educated MPs maintain better attendance.
| Less Educated MPs | Highly Educated MPs | |
|---|---|---|
| Mean | 74.82 | 78.27 |
| Standard Deviation | 18.48 | 16.13 |
| N | 112 | 381 |
t = 1.7869
p = 0.0758
Since the p-value of the sample is 0.0758 we can say with 7.58 % confidence that the difference in the samples is due to random sampling. Hence we can't reject the hypothesis that the two samples are of the same population because maximum value of p is 0.05 for rejection.
p = 0.0758
Since the p-value of the sample is 0.0758 we can say with 7.58 % confidence that the difference in the samples is due to random sampling. Hence we can't reject the hypothesis that the two samples are of the same population because maximum value of p is 0.05 for rejection.
Hypothesis: Female MPs are better educated than male MPs.
| Female MPs | Male MPs | |
|---|---|---|
| Mean | 62.5 | 60.81 |
| Standard Deviation | 20.3 | 20.09 |
| N | 60 | 490 |
p = 0.5433
Since the p-value of the sample is 0.5433 we can say with 54.33 % confidence that the difference in the samples is due to random sampling. Hence we can't reject the hypothesis that the two samples are of the same population because maximum value of p is 0.05 for rejection.