1University of PuneUniversity of Pune
By: Motilal & Jyoti Nevgi (University of Pune,Pune)
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Aim: - To check whether Indians are getting taller and to predict the height of the tallest Indian (Male/Female) in 2020.
Formulation of the problem
1. Paired t-test
2. Trend Analysis
3. Prediction of the Tallest Indian
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Major States in each stratum: -1. East : West Bengal, Assam, Arunachal Pradesh,
Tripura, and Manipur.
2. West : Maharashtra, Gujarat and Rajasthan.
3. North : Jammu & Kashmir, Himachal Pradesh, Punjab,
Haryana and U.P.
4. South : Kerala, Tamilnadu, Karnataka and Andhra Pradesh.
5. Center : Madhya Pradesh, Bihar, Orissa and Chhatisgarh
Sampling Technique Population is all the Indians aged from 20-30 years.
Divide it into 5 strata namely East, West, North, South & Center.
Used stratified sampling with proportional allocation.
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Data CollectionData are collected from
3 sources.
Sample sizeFrom Hostel & Camp: Male – 136 Female – 55From Matrimonial: Sample size in each year is 40 for each gender
for 21 years (Male & Female).
3. Matrimonial Website www.shaadi.com
1. Hostel (University of Pune, Pune)
2. National Youth Integration Camp (Held at University of Pune, Pune)
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Statistical Analysis
Normality Testing
Multiple Linear Regression
Paired t-test
Trend Analysis
Prediction of the Tallest Indian
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Conclusions1. Indians are getting taller.
2. Predicted average height in year 2020 (a) Male: 176.83 cms, Female:
163.81 cms (From Matrimonial Data) (b) Male: 172.17 cms,
Female: 161.34 cms (From Regression
Analysis) (c) Male: 172.06 cms, Female:
162.22 cms (Generation wise)3. Predicted height of the tallest Indian in
year 2020 will be 195.58 cms.4. Generation wise average rate of increase
in height 4.1 Male (a) Grand Father to Father:
1.49 cms. (b) Father to Male Child:
1.93 cms. 4.2 Female (a) Grand Mother to Mother:
1.79 cms. (b) Mother to Female Child:
1.95 cms.
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Limitation
1. Data collection is done by distributing questionnaire (Anthropometrical measurements on height are not taken).
2. Sample size (a) From Questionnaire Male: 136 Female: 55 (b) From Matrimonial website www.shaadi.com
Male: 840 Female: 840
3. Due to less data from matrimonial website www.shaadi.com (of 21 years), we are unable to detect cyclic variation in Time Series Analysis.
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Suggestions
1.Prediction can be better if sample
size is increased along with
increase in no. of generations.
2. If data on tallest persons are
collected,
better prediction can be made
for the
tallest person in future.
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Questionnaire
Candidate Name: -
Gender: -
State: -
Height (In Cms.): -
Father’s Height (In Cms.): -
Mother’s Height (In Cms.): -
Grand-Father’s Height (In Cms.): -
Grand-Mother’s Height (In Cms.): -
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