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Presented By,
Group No-01
Animesh Amal(01)
Madhura Jagtap(10)
Bosco James(15)
Shafaatali(18)
Bhavika Sachdev(23)
Contents
 Introduction
 Objective
 Research Design
PIMARY INVESTIGATION
COLLECTION OF QUANTITATIVE DATA
SAMPLING PROCESS
FIELD WORK
DATA ANALYSIS PLAN
 Findings
 Chi-Square analysis
 Conclusion
 References
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
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
Objectives
• To study the market of stem cells.
• To know about the awareness level of stem
cells.
Research Design
DATA ANALYSIS PLAN
6415
14
10
Age
Sample Size-103
Gender
4360
Sample Size-103
Education
4551
7
Sample Size-103
Occupation
4917
11
1610
Sample Size-103
Awareness of Stem Cell therapy
65
16
22
Sample Size-103
Awareness of the potential benefits
6620
17
Sample Size-103
Ethical or not
5413
36
Sample Size-103
preservation
43
13
47
Sample Size-103
Support Of family member
67
36
Sample Size-103
Source of information
42
21
15
25
Sample Size-103
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
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
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
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
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
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
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
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
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
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
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.
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/
Market research on Stem cell

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Market research on Stem cell

  • 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.
  • 7.
  • 8.
  • 9.
  • 14. Awareness of Stem Cell therapy 65 16 22 Sample Size-103
  • 15. Awareness of the potential benefits 6620 17 Sample Size-103
  • 18. Support Of family member 67 36 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/