Researchers-
Manmeet Anand (80012100531)
Aditya Govande (80012100566)
Rigved Gaddam (80012100290)
Mayuresh Pawar (80012100299)
Introduction-
Mumbai’s local rail network is the busiest commuter train system in the world; with 7.5 million people using the trains to commute daily, it is no surprise that overcrowding, here, reaches epic proportions. Through the research we are aiming to conclude what problems people face in a crowded local train.
Objective-
To understand and analyze people’s views on travelling in crowded local trains.
Data Collection-
For the given problem five questions were framed on the Likert Scale
Following are the five questions and their Null and Alternative Hypothesis:
1)I feel stressed while travelling in a local train
Null Hypothesis: People feel stressed while travelling in a local train.
Alternative Hypothesis: People do not feel stressed while travelling in a local train.
2)I feel unsafe travelling in a local train
Null Hypothesis: People feel unsafe travelling in a local train.
Alternative Hypothesis: People feel safe travelling in a local train.
3)I have a fear to get in the train due to heavy crowd
Null Hypothesis: People have a fear to get in the train due to heavy crowd.
Alternative Hypothesis: People do not have a fear to get in the train due to heavy crowd.
4)I am conscious while travelling in a crowded local train
Null Hypothesis: People are conscious while travelling in a crowded local train.
Alternative Hypothesis: People are not conscious while travelling in a crowded local train.
5)I have to be aware that I don’t miss my destination due to heavy crowd
Null Hypothesis: People have to be aware that they don’t miss their destination due to heavy crowd.
Alternative Hypothesis: People don’t have to be aware that they don’t miss their destination due to heavy crowd.
We prepared a Google form which had the questions and it was sent to college students and people who use and travel by train daily on a regular basis in Mumbai. A total of 118 people responded to our survey.
The options on the Likert scale were “Strongly Agree”, “Agree”, “Neutral”, “Disagree”, “Strongly Disagree”.
We then converted the collected data into an excel sheet, and the result was calculated with the formula Z = (x-µ)/SE, where µ was taken as ‘0’. Since the scale is from -2 for Strongly Disagree to +2 for Strongly Agree.
Data Analysis-
• Mean:
1) 0.101694915
2) -0.13559322
3) 0.618644
4) 1.033898305
5) 1.016949153
• Standard Deviation:
1) 1.081229361
2) 1.139164893
3) 1.124091211
4) 0.969026328
5) 0.924343619
• Standard Error:
1) 0.099535231
2) 0.104868629
3) 0.103480984
4) 0.089206104
5) 0.085092727
• Z-Value:
1) 1.021698
2) -1.29298
3) 5.978336
4) 11.59
5) 11.95107
• Results:
1) Z-value is Positive
2) Z-value is Negative
3) Z-value is Positive
4) Z-value is Positive
5) Z-value is Positive
Findings-
1) People feel stressed while travelling in a local train.
2) People feel safe travelling in a local train.
3) People have a fear to get in the train due to heavy crowd.
4) People are conscious while travelling in a crowded local train.
5) People have to be aware that they don’t miss their destination due to heavy crowd.