This document presents research on stem cell awareness in India. The research was conducted by a group consisting of 5 members. They collected quantitative data from 103 respondents through a survey to study awareness levels. Chi-square analysis found no relationship between awareness and gender, age, education or occupation. There was a relationship found between awareness and income. The conclusion is that stem cell research is growing in India with many institutions and companies conducting research and clinical trials.

1. Presented By,
Group No-01
Animesh Amal(01)
Madhura Jagtap(10)
Bosco James(15)
Shafaatali(18)
Bhavika Sachdev(23)

2. Contents
 Introduction
 Objective
 Research Design
PIMARY INVESTIGATION
COLLECTION OF QUANTITATIVE DATA
SAMPLING PROCESS
FIELD WORK
DATA ANALYSIS PLAN
 Findings
 Chi-Square analysis
 Conclusion
 References

3. Introduction
• Stem cells are biological cells found in all
multicellular organisms, that can divide (through
mitosis) and differentiate into diverse specialized
cell types and can self-renew to produce more
stem cells.
• In mammals, there are two broad types of stem
cells:
• Embryonic stem cells, which are isolated from the
inner cell mass of blastocysts and
• Adult stem cells, which are found in various
tissues

4. Introduction
• Stem cell research in India is in a healthy state.
• This is mainly due to the fact that scientists and physicians
have taken deep interest in harnessing the benefits.
• India is emerging as a potential player for developing stem
cell therapy and is currently in the list of top ten countries
that are heavily engaged in stem cell research.
• Major Asian economies are also expected to attract better
investments in stem cell industry and India is expected to
be in the forefront with a market growth potential with a
compound annual growth rate (CAGR) of 25 percent or
more by 2015.
Source- Indian express, By Dr Anish Majumdar, 03rd October 2012, 10:30 AM

5. Objectives
• To study the market of stem cells.
• To know about the awareness level of stem
cells.

6. Research Design

10. DATA ANALYSIS PLAN
6415
14
10
Age
Sample Size-103

11. Gender
4360
Sample Size-103

12. Education
4551
7
Sample Size-103

13. Occupation
4917
11
1610
Sample Size-103

14. Awareness of Stem Cell therapy
65
16
22
Sample Size-103

15. Awareness of the potential benefits
6620
17
Sample Size-103

16. Ethical or not
5413
36
Sample Size-103

17. preservation
43
13
47
Sample Size-103

18. Support Of family member
67
36
Sample Size-103

19. Source of information
42
21
15
25
Sample Size-103

20. Chi-square analysis
• Awareness Vs Gender
Awareness * Gender Crosstabulation
Gender Total
Male Female
Awareness
Yes
Count 42 25 67
Expected Count 39.0 28.0 67.0
No
Count 7 7 14
Expected Count 8.2 5.8 14.0
Slightly
Count 11 11 22
Expected Count 12.8 9.2 22.0
Total
Count 60 43 103
Expected Count 60.0 43.0 103.0

21. Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 1.550a 2 .461
Likelihood Ratio 1.542 2 .462
Linear-by-Linear Association 1.345 1 .246
N of Valid Cases 103
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is
5.84.
Here Sig value is >0.05
So Null hypothesis is accepted,
There is no relationship between Awareness and Gender

22. Awareness Vs Age
Awareness * Age Crosstabulation
Age Total
25-30 31-35 36-40 41-45
Awareness
Yes
Count 46 8 10 3 67
Expected
Count 41.6 9.8 9.1 6.5 67.0
No
Count 8 2 1 3 14
Expected
Count 8.7 2.0 1.9 1.4 14.0
Slightly
Count 10 5 3 4 22
Expected
Count 13.7 3.2 3.0 2.1 22.0
Total
Count 64 15 14 10 103
Expected
Count 64.0 15.0 14.0 10.0 103.0

23. Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 8.836a 6 .183
Likelihood Ratio 8.515 6 .203
Linear-by-Linear Association 4.310 1 .038
N of Valid Cases 103
a. 6 cells (50.0%) have expected count less than 5. The minimum expected count
is 1.36.
Here Sig value is >0.05
So Null hypothesis is accepted,
There is no relationship between Awareness and Age

24. Awareness Vs Occupation
Awareness * Occupation Crosstabulation
Occupation Total
Student Self
empl.
Gov emp. Non gov
empl.
Other
Awareness
Yes
Count 35 10 7 7 8 67
Expected
Count
31.9 11.1 7.2 6.5 10.4 67.0
No
Count 6 4 1 0 3 14
Expected
Count
6.7 2.3 1.5 1.4 2.2 14.0
Slightly
Count 8 3 3 3 5 22
Expected
Count
10.5 3.6 2.3 2.1 3.4 22.0
Total
Count 49 17 11 10 16 103
Expected
Count
49.0 17.0 11.0 10.0 16.0 103.0

25. Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 6.096a 8 .636
Likelihood Ratio 7.176 8 .518
Linear-by-Linear Association 2.283 1 .131
N of Valid Cases 103
a. 8 cells (53.3%) have expected count less than 5. The minimum expected count is
1.36.
Here Sig value is >0.05
So Null hypothesis is accepted,
There is no relationship between Awareness and Occupation

26. Awareness Vs Education
Awareness * Education Crosstabulation
Education Total
Under
Graduate
Graduate Post
graduate
Awareness
Yes
Count 3 25 39 67
Expected
Count 4.6 29.3 33.2 67.0
No
Count 2 8 4 14
Expected
Count 1.0 6.1 6.9 14.0
Slightly
Count 2 12 8 22
Expected
Count 1.5 9.6 10.9 22.0
Total
Count 7 45 51 103
Expected
Count 7.0 45.0 51.0 103.0

27. Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 6.684a 4 .154
Likelihood Ratio 6.646 4 .156
Linear-by-Linear Association 4.358 1 .037
N of Valid Cases 103
a. 3 cells (33.3%) have expected count less than 5. The minimum expected count is
.95.
Here Sig value is >0.05
So Null hypothesis is accepted,
There is no relationship between Awareness and Education

28. Awareness Vs Income
Awareness * Income Crosstabulation
Income Total
Less than
1lac
1-3lac 3-5lac More
than 5lac
5lac
Awareness
Yes
Count 30 16 9 12 0 67
Expected
Count 31.9 20.2 5.9 8.5 .7 67.0
No
Count 4 9 0 0 1 14
Expected
Count 6.7 4.2 1.2 1.8 .1 14.0
Slightly
Count 15 6 0 1 0 22
Expected
Count 10.5 6.6 1.9 2.8 .2 22.0
Total
Count 49 31 9 13 1 103
Expected
Count 49.0 31.0 9.0 13.0 1.0 103.0

29. Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 25.074a 8 .002
Likelihood Ratio 26.247 8 .001
Linear-by-Linear Association 5.404 1 .020
N of Valid Cases 103
a. 8 cells (53.3%) have expected count less than 5. The minimum expected count
is .14.
Here Sig value is <0.05
So Alternative hypothesis is accepted,
There is a relationship between Awareness and Income

30. Conclusion
• Several top level academic institutions as well as industries
in the biotechnology sphere are actively carrying out
research in the area of stem cell biology and therapy.
• The growing interest is also evidenced by a recent surge in
clinical trials using various types of stem cells against a
variety of indications including cardiac, vascular, arthritis,
gastro-intestinal, pulmonary, respiratory and neural
diseases.
• India is an emerging player in this field
• the number of companies engaged in some kind of stem
cell research has topped over 100, and about 30-40 of
these are actively pursuing stem cell based clinical trials for
bringing it to the market in the next 3-5 years.

31. References
• Indian express, By Dr Anish Majumdar, 03rd
October 2012 10:30 AM
• http://www.sciencedaily.com/articles/s/stem_
cell_treatments.htm
• http://www.medicalnewstoday.com/sections/
stem_cell/
• http://science.nationalgeographic.com/scienc
e/health-and-human-body/human-
body/stem-cell-divide/