Experiment variables

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This PPT will guide about various methods of Experiment Research Design

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Experiment variables

  1. 1. Experiment Research Design Presented By Bharti Bhutani
  2. 2. Illustrated Example <ul><li>L'Oreal company has recently introduced new Shampoo into the market but the sale of it not increase as the rate expected. So, company wants to now what should they do so that sales would drastically increase. Marketing Manager Approach to Research Department for getting the solution of their problem. </li></ul><ul><li>Researcher Has decided to float free sample of Shampoo (Independent Variable) in Time of India (Delhi Times) News paper to Delhi Times Newspaper Reader to know about the changing the number of Sales (Dependent Variable) </li></ul>www.managementexplorer.com Bharti Bhutani
  3. 3. After Only Design <ul><li>Experiment Group </li></ul><ul><li>Experiment Variable </li></ul><ul><li>Introduce (free sample Yes </li></ul><ul><li>of Shampoo) </li></ul><ul><li>After measurement X1 </li></ul><ul><li>Effect of Experiment Variable X1 - Implicit </li></ul>www.managementexplorer.com Bharti Bhutani
  4. 4. Cont…. <ul><li>As the name Suggest you will measure the effect after introducing the experiment variable on experiment group but this method only implement when there is no exact measure of product into market before. </li></ul><ul><li>After this design Researcher come to conclusion that floated sample is the best mode of increasing sales as it has directly demonstrated the feature of the product. </li></ul><ul><li>So, from this research marketer will float the sample if he again come with new product. </li></ul>www.managementexplorer.com Bharti Bhutani
  5. 5. Before After design Example <ul><li>Nivea company has changed its packaging of existing product line. And they want to check that: </li></ul><ul><li>is there any effect of new packaging on Sale or not. </li></ul>Old New www.managementexplorer.com Bharti Bhutani
  6. 6. Before After design <ul><li>Experiment Group </li></ul><ul><li>Before Measure X1 (32750 units) </li></ul><ul><li>Experiment Variable </li></ul><ul><li>Introduce (New Packaging bottle) Yes </li></ul><ul><li>After measurement Y 1 (50680 units) </li></ul><ul><li>Effect of Experiment Variable = Y1 – X1 </li></ul><ul><li>= 50680-32750(Units) </li></ul><ul><li>= 17930 units </li></ul>www.managementexplorer.com Bharti Bhutani
  7. 7. Cont….. <ul><li>Through this research design Researcher came to the conclusion that effect of new packing on Nivea has positive impact. So, they suggested to marketing manager they can also change the packaging of their remains product line it will definitely helps them to reach on the company revenue target. </li></ul>www.managementexplorer.com Bharti Bhutani
  8. 8. Before After with Control Group design Same Example <ul><li>Nivea company has changed its packaging of existing product line. And they want to check that: </li></ul><ul><li>is there any effect of new packaging on Sale or not. </li></ul>Old New www.managementexplorer.com Bharti Bhutani
  9. 9. Before After with Control Group design Same Example <ul><li>Experiment Group Control Group </li></ul><ul><li>Before Measure X1 (32750 units) X2 (28285 units) </li></ul><ul><li>Experiment Variable </li></ul><ul><li>Introduce (New Packaging bottle) Yes No </li></ul><ul><li>After measurement Y1 (50680 units) Y2 (32452 units) </li></ul><ul><li>Effect of Experiment Variable = (Y1 – X1) – (Y2 – X2 ) </li></ul><ul><li>= (50680-32750) – (32452 - 28285)(Units) </li></ul><ul><li>= 17930 – 4200 units </li></ul><ul><li>= 13730 units </li></ul>www.managementexplorer.com Bharti Bhutani
  10. 10. Cont….. <ul><li>Divide the 16 supermarkets in two equivalent groups of 8 - one control group, the other experimental group. </li></ul><ul><li>In the shops in control group, DO NOT CHANGE the packaging style, in the experimental group, make the change. </li></ul><ul><li>Measure the sales for both groups before the experiment date and after the experiment date at same time. </li></ul><ul><li>(Y1 – X1) – (Y2 – X2 ) </li></ul><ul><li>= (50680-32750) – (32452 - 28285)(Units) </li></ul><ul><li>= 17930 – 4200 units </li></ul><ul><li>= 13730 units </li></ul><ul><li>. </li></ul>www.managementexplorer.com Bharti Bhutani
  11. 11. Cont….. <ul><li>Through this research design Researcher came to conclusion that effect of new packing on Nivea has positive impact. So, they suggested to marketing manager they can also change the packaging of their remains product line it will definitely helps them to reach on the company revenue target. </li></ul>www.managementexplorer.com Bharti Bhutani
  12. 12. After Only Design with Control Group Design Example <ul><li>Honda has launched add one more model in its existing product line with the name of Brio. And they want to know about as print media is an effected tool for creating brand awarness. </li></ul>www.managementexplorer.com Bharti Bhutani
  13. 13. After Only Design with Control Group Design <ul><li>Experiment Group (TOI) Control Group (HT) </li></ul><ul><li>Experiment Variable </li></ul><ul><li>Introduce (print Ad.) Yes No </li></ul><ul><li>After measurement Y1 (1Lank) Y2 (10000) </li></ul><ul><li>Effect of Experiment Variable = (Y1 – Y2) </li></ul><ul><li>= 1,00,000 – 10,000 </li></ul><ul><li>= 90,000 </li></ul>www.managementexplorer.com Bharti Bhutani
  14. 14. Cont….. <ul><li>There are Divide the Population of South Delhi in two equal parts on the basis of choice of reading newspaper Times of India and Hindustan Times - one control group, the other experimental group. </li></ul><ul><li>In the print advertisement of Brio showed in TOI not in HT, make the change. </li></ul><ul><li>Measure the Brand Awareness for both groups after the experiment date at same time. </li></ul><ul><li>= (Y1 – Y2) </li></ul><ul><li>= 1,00,000 – 10,000 </li></ul><ul><li>= 90,000 </li></ul>www.managementexplorer.com Bharti Bhutani
  15. 15. Illustrated Example <ul><li>Retail owner wants to know about the role of window display on different stores for increasing footfall of stores. </li></ul><ul><li>Window Display is a dependent Variable </li></ul><ul><li>Footfall of stores is independent variable </li></ul>www.managementexplorer.com Bharti Bhutani
  16. 16. Latin Square Design <ul><li>Stores </li></ul>2 1 2 1 3 4 3 4 7 28 28 7 6 15 20 23 27 23 27 7 8 6 17 25 29 Window Display www.managementexplorer.com Bharti Bhutani
  17. 17. Cont… <ul><li>Researcher came to conclusion that window display format 1 is suitable for Stores type and 2W on 4S, 3W on 1S and 4W on 3S </li></ul><ul><li>Window Display </li></ul>www.managementexplorer.com Bharti Bhutani

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