Research Methodology on cosmetics
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Research Methodology on cosmetics

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This presentation contains research methology approach for survey based on : Mumbai women do not use branded cosmetics

This presentation contains research methology approach for survey based on : Mumbai women do not use branded cosmetics

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Research Methodology on cosmetics Research Methodology on cosmetics Presentation Transcript

  • PROJECT ON RESEARCH METHODOLOGY SUBMITTED TO : Prof . GITANJALI KAPOOR
  • GROUP MEMBERS PRADNYA BHALERAO C-03 RASHMIKA PATIL C-27 PRACHI PITALE C-29 CHAITALI SWAMI C-36 PRATIKSHA RANE C-42 JAYASHREE PRABHU C-43
  • WHAT IS RESEARCH?
  • A research is an organized set of activities to study and develop a model or procedure or technique to find the results of a realistic problem supported by literature and data such that its objective/(s) is/(are) optimized and further make recommendations or interferences for implementations.
  • DA A system of model, procedures and techniques used to find the results of a research problems is called a Research Methodology. WHAT IS RESEARCH METHODOLOGY
  • RESEARCH PROCESS
  • PROBLEM DEFINITION OBJECTIVE OF THE RESEARCH RESEARCH DESIGN
  • DATA COLLECTION
  • PRIMARY DATA COLLECTION SECONDARY DATA COLLECTION
  • DATA ANALYSIS
  • INTERPRETATION OF RESULTS VALIDATION OF RESULTS PAST RECORDS CURRENT FINDINGS VALIDATION OF RESULTS
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  • Z-TEST
  • Z-TEST
    • Research studies
    • Normal probability distribution
    • Significance of mean
    • Comparison
    • z=X- µ H0
    • б p/ n
    • When standard deviation of population is not known then we can standard deviation of the sample
    • б s= ∑(Xi-X) 2
    • n-1
  • HYPOTHESIS TESTING OF PROPORTIONS
    • Qualitative characteristic
    • Statistics of Attributes
    • Presence of an attribute-Success
    • Absence of an attribute-Failure
  • Testing the difference between proportion based on sample and the proportion for whole population
    • p - p
    • z =
    • p*q N-n
    • n*N
    • p-sample proportion
    • p-population proportion of success
    • q=1-p
    • n=Number of items in sample
    • N=Number of items in population
    • n-102
    • N-65,80,000
    • Population of mumbai-14 million
    • 875:1000(female male ratio)
    • 47% females in mumbai
    • H 0 :- p=p
    • H 1 :- p=p
    • p=0.70
    • q=0.30
    • Observed sample proportion
    • p=87/102=0.8529
  • TEST STATISTIC (z) p - p 0.8529-0.70 z = = p*q N-n 0.70*0.30* 6580000-102 n*N 6580000*102 =3.55
  • RESULT
    • As H 1 is two sided two tail test is applied for determining the rejection region at 5% level of significance
    • Z=1.96
    • Calculated value(3.55) is more than the table value(1.96) so we reject the null hypothesis
    • There is significant difference between proportion of women using branded cosmetics in the sample and proportion of women using branded cosmetics in the population
  • Chi-Square Test Research objective Null Hypothesis (H0) : Mumbai women do not use branded cosmetics Alternate Hypothesis (H1) : Mumbai women use branded cosmetics E = 102 / 15 = 6.8
  • BRANDS OBSERVED FREQ (O) EXPECTED FREQ (E) O – E (O – E) 2 (O – E) 2 / E Lakme 59 6.8 52.2 2724.84 400.71 Ponds 39 6.8 32.2 1036.84 152.47 Garnier 33 6.8 26.2 686.44 100.94 Revlon 31 6.8 24.2 585.64 86.12 Maybelline 6 6.8 -0.8 0.64 0.09 Loreal 15 6.8 8.2 67.24 9.88 Nivea 21 6.8 14.2 201.64 29.65 Ayur 5 6.8 -1.8 3.24 0.47 Himalaya 10 6.8 3.2 10.24 1.50 Oriflame 9 6.8 2.2 4.84 0.71 Elle 18 22 6.8 15.2 231.04 33.97 Fair & Lovely 9 6.8 2.2 4.84 0.71 Fairone 1 6.8 -5.8 33.64 4.94 Fairever 2 6.8 -4.8 23.04 3.38 Others 14 6.8 7.2 51.84 7.62 Total 833.16
    • ∑ (O-E) 2 / E = 833.16
    • Degree of Freedom = 15-1 = 14
    • Assuming 5% level of significance.
    • T 0.05,14 = 23.685
    • Tcalc > Tα
    • Null Hypothesis is rejected
    • Therefore, Mumbai women use branded cosmetics
  • Limitations Of Research
    • Small population size
    • Small sample size
    • Only women cosmetics were considered
    • Only few brands were considered
    • Misunderstanding of the question can all contribute to inaccuracies in the data.
    • Survey question answer-choices could lead to vague data sets
    • Bias Issues
    • External Environment
    • Time consuming
  • CONCLUSION
  • Bibliography & Webliography www.google.com Research Methodology &Techniques – by C.R Kothari www.wikipedia.com Statistical Methods – by S.P. Gupta www.esurveyspro.com Statistics for Management – Richard Levin