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Quantitative Research to find most preferred hair shampoo among various age group

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This was an assignment to test our market research concepts. I have run descriptive and inferential analysis on the data which was collected for the research.
IGNORE ONE WAY ANOVA & CORRELATION

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Quantitative Research to find most preferred hair shampoo among various age group

  1. 1. Submitted to Dr. Nitin Wani By : Falguni Singh Class : MMS – II (Marketing) Roll No : 45 A QUANTITATIVE STUDY TO FIND OUT MOST PREFERRED HAIR SHAMPOO BRAND AMONG VARIOUS AGE GROUPS.
  2. 2. This research aims to get a clear picture of competition between various shampoo brands. Research aims to find out which shampoo is widely preferred, for which hair problem and by which age group of customer. Introduction
  3. 3. Research design used for this research is descriptive . In descriptive, single cross sectional design is used as data would be collected from sample only once. Research Method
  4. 4. Data used for this research is primary data type. Collection method is telephone interview and online survey. Sampling technique used is non probabilistic convenience sampling . (Sample = 43) Sample and Data Collection
  5. 5. Questionnaire Q1. Gender Nominal Q2. Age Nominal Q3. Which shampoo you use ? Nominal Q4. For how long you have been using it? Nominal Q5. Why you prefer this shampoo? Nominal Q6. State the hair problem you are facing ? Nominal Q7. Rate effectiveness of your shampoo. Interval Q8. Rate smell of your shampoo. Interval Q9. Rate the freshness gained by your shampoo. Interval Q10. Rate the cleaning power of your shampoo. Interval Q11. Rate the price of your shampoo. Interval Q12. How many times you wash you wash your hair in a week? Nominal
  6. 6. Analysis (Descriptive) Statistics Gender of respondent N Valid 43 Missing 7 Mode 2.00 Skewness -.342 Std. Error of Skewness .361 Gender of respondent Frequency Percent Valid Percent Cumulative Percent Valid Male 18 36.0 41.9 41.9 Female 25 50.0 58.1 100.0 Total 43 86.0 100.0 Missing System 7 14.0 Total 50 100.0
  7. 7. Analysis (Descriptive)
  8. 8. Analysis (Descriptive)
  9. 9. Analysis (Descriptive) Shampoo respondent is using * Age of respondent Cross tabulation Count Age of respondent Totalbetween 15 to 20 year old between 21 to 25 year old between 26 to 30 year old more than 30 years old Shampoo respondent is using Head & Shoulders 4 4 1 1 10 Pantene 0 0 1 0 1 Sunsilk 1 2 2 2 7 All clear 0 1 0 0 1 Loreal 2 4 0 0 6 tressemme 3 3 1 0 7 Garnier Fructis 1 0 0 0 1 Dove 1 2 0 1 4 Clinic Plus 0 3 1 0 4 Others 2 0 0 0 2 Total 14 19 6 4 43
  10. 10. Analysis (Inferential)
  11. 11. Analysis (Inferential) Chi-Square Tests Value df Asymp. Sig. (2-sided) Pearson Chi-Square 26.509a 27 .491 Likelihood Ratio 27.779 27 .422 Linear-by-Linear Association 1.145 1 .285 N of Valid Cases 43 a. 40 cells (100.0%) have expected count less than 5. The minimum expected count is .09.
  12. 12. Analysis (Inferential)
  13. 13. Analysis (Inferential) Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square 17.887a 9 .037 Likelihood Ratio 21.859 9 .009 Linear-by-Linear Association .986 1 .321 N of Valid Cases 43 a. 19 cells (95.0%) have expected count less than 5. The minimum expected count is .42.
  14. 14. Analysis (Inferential) T test to see if mean of above stated shampoo is very effective exceeds 2 One-Sample Statistics N Mean Std. Deviation Std. Error Mean The above stated shampoo is very effective. 43 3.0233 .51123 .07796 One-Sample Test Test Value = 2 t df Sig. (2- tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper The above stated shampoo is very effective. 13.125 42 .000 1.02326 .8659 1.1806
  15. 15. Analysis (Inferential) Independent sample t test for independent variable aka grouping variable (gender: male and female) and dependent variable aka testing variable (the above stated shampoo is effective). Group Statistics Gender of respondent N Mean Std. Deviation Std. Error Mean The above stated shampoo is very effective. Male 18 3.0556 .53930 .12712 Female 25 3.0000 .50000 .10000
  16. 16. Analysis (Inferential) Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means F Sig. t Df Sig. (2- tailed) Mean Diffe rence Std. Error Differ ence 95% Confidence Interval of the Difference Lower Upper The above stated shampoo is very effective. Equal variances assumed .311 .580 .348 41 .730 .0555 6 .1597 1 -.2669 .37810 Equal variances not assumed .343 35.0 45 .733 .0555 6 .1617 4 -.2727 .38388
  17. 17. Analysis (Inferential) ANOVA is used when more than 2 means are to be compared. One way ANOVA, independent variable aka factors (gender: female and male), and dependent list (the above stated shampoo is very effective; shampoo leaves good smell. ANOVA Sum of Squares df Mean Square F Sig. The above stated shampoo is very effective. Between Groups .032 1 .032 .121 .730 Within Groups 10.944 41 .267 Total 10.977 42 gives good smell to hair Between Groups .592 1 .592 2.295 .137 Within Groups 10.571 41 .258 Total 11.163 42
  18. 18. Analysis (Inferential) Correlations Control Variables Gender of respondent The above stated shampoo is very effective. Age of respondent & Shampoo respondent is using & Duration of usage & Reason why you are using above stated shampoo & Hair problem respondent is suffering from & gives good smell to hair & Brings freshness to hair & Cleans my hair & Product's price is reasonable Gender of respondent Correlation 1.000 .098 Significance (2- tailed) . .580 df 0 32 The above stated shampoo is very effective. Correlation .098 1.000 Significance (2- tailed) .580 . df 32 0
  19. 19. Thank You

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