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Is it a sample to sample or a sample to population comparison?

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Decision-Based Learning - Is it a sample to sample or a sample to population?

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Is it a sample to sample or a sample to population comparison?

  1. 1. When you are working with nominal proportional data,
  2. 2. When you are working with nominal proportional data, you need to determine if you are being asked to compare a sample to another sample
  3. 3. When you are working with nominal proportional data, you need to determine if you are being asked to compare a sample to another sample or a sample to a population or a claim.
  4. 4. Here are your options:
  5. 5. Here are your options: Sample to Sample Sample to Population
  6. 6. Let’s look at a few examples to distinguish sample to sample from sample to population comparisons.
  7. 7. Sample to Population
  8. 8. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (9 out of 10) customers are very satisfied with a particular vacuum brand.
  9. 9. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (9 out of 10) customers are very satisfied with a particular vacuum brand.
  10. 10. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (9 out of 10) customers are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product.
  11. 11. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (9 out of 10) customers are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not.
  12. 12. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (9 out of 10) customers are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not?
  13. 13. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (9 out of 10) customers are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. First of all, we know that we are dealing with nominal proportional data because there is a percentage (90%) or a proportion (9 out of 10 / Is their claim statistically significantly accurate or not? 15 out of 20).
  14. 14. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (9 out of 10) customers are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. First of all, we know that we are dealing with nominal proportional data because there is a percentage (90%) or a proportion (9 out of 10 / Is their claim statistically significantly accurate or not? 15 out of 20).
  15. 15. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (r 9 out Percentage of 10) customers are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. First of all, we know that we are dealing with nominal proportional data because there is a percentage (90%) or a proportion (9 out of 10 / Is their claim statistically significantly accurate or not? 15 out of 20).
  16. 16. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (9 out of 10) customers are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. First of all, we know that we are dealing with nominal proportional data because there is a percentage (90%) or a proportion (9 out of 10 / Is their claim statistically significantly accurate or not? 15 out of 20).
  17. 17. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (9 out of 10) customers Proportion are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. First of all, we know that we are dealing with nominal proportional data because there is a percentage (90%) or a proportion (9 out of 10 / Is their claim statistically significantly accurate or not? 15 out of 20).
  18. 18. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (or 9 out of 10) customers are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. First of all, we know that we are dealing with nominal proportional data because there is a percentage (90%) or a proportion (9 out of 10 / Is their claim statistically significantly accurate or not? 15 out of 20).
  19. 19. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% (or 9 out of 10) customers are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. First of all, we know that we are dealing with nominal proportional data because there is a percentage (90%) or a proportion (9 out of 10 / Is their claim statistically significantly accurate or not? 15 out of 20).
  20. 20. So, now we know that we are dealing with nominal proportional data.
  21. 21. So, now we know that we are dealing with nominal proportional data. In this case the nominal data consists of 1s and 2s. 1 = very satisfied with the vacuum 2 = not very satisfied with the vacuum
  22. 22. So, now we know that we are dealing with nominal proportional data. In this case the nominal data consists of 1s and 2s. 1 = very satisfied with the vacuum 2 = not very satisfied with the vacuum
  23. 23. So, now we know that we are dealing with nominal proportional data.
  24. 24. So, now we know that we are dealing with nominal proportional data. The nominal data is proportional because it is reported as a proportion or a percentage: Percentage = 90% Proportion = 9 out of 10
  25. 25. So, now we know that we are dealing with nominal proportional data. The nominal data is proportional because it is reported as a proportion or a percentage: Percentage = 90% Proportion = 9 out of 10
  26. 26. So, now we know that we are dealing with nominal proportional data. Or Percentage = 75% Proportion = 15 out of 20
  27. 27. Then, we determine if this is a sample to sample or sample to population question.
  28. 28. Here is the problem again:
  29. 29. Here is the problem again: You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not?
  30. 30. A population is a defined group where all the members are accounted for in terms of some outcome. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not?
  31. 31. In this case the defined group is all customers You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not?
  32. 32. The outcome is vacuum satisfaction You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not?
  33. 33. The outcome is vacuum satisfaction You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not?
  34. 34. Since it states all customers, then we assume we are talking about a population. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not?
  35. 35. In most cases it will not state “all customers” but a population is implied by the claim “9 out of 10 are very satisfied”. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not?
  36. 36. So, we are comparing this population You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not?
  37. 37. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not? So, we are comparing this population with this sample.
  38. 38. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Is their claim statistically significantly accurate or not? So, we are comparing this population with this sample.
  39. 39. This is an example of a So, we are comparing this population with this sample. You have been asked by your marketing team leader to determine if a claim by an infomercial is true. They claim that 90% of all customers (9 out of 10) are very satisfied with a particular vacuum brand. You select a sample of 20 of these vacuum brand owners and ask them if they are very satisfied with the product. Fifteen respond that they are very satisfied and five respond that they are not. Sample to Population problem Is their claim statistically significantly accurate or not?
  40. 40. Sample to Sample Sample to Population
  41. 41. What does a sample to sample problem look like?
  42. 42. Let’s look at the same example with some slight changes to it.
  43. 43. You have been asked by your marketing team leader to determine if a sample of owners of vacuum brand “X” have statistically different satisfaction results (80% or 8 out of 10 satisfied) with a sample of owners who use vacuum brand “Y” (75% or 7.5 out of 10).
  44. 44. You have been asked by your marketing team leader to determine if a sample of owners of vacuum brand “X” have statistically different satisfaction results (80% or 8 out of 10 satisfied) with a sample of owners who use vacuum brand “Y” (75% or 7.5 out of 10). First, we know that we are dealing with nominal proportional data.
  45. 45. You have been asked by your marketing team leader to determine if a sample of owners of vacuum brand “X” have statistically different satisfaction results (80% or 8 out of 10 satisfied) with a sample of owners who use vacuum brand “Y” (75% or 7.5 out of 10). First, we know that we are dealing with nominal proportional data.
  46. 46. You have been asked by your marketing team leader to determine if a sample of owners of vacuum brand “X” have statistically different satisfaction results (80% or 8 out of 10 satisfied) with a sample of owners who use vacuum brand “Y” (75% or 7.5 out of 10). Second, we are comparing two samples.
  47. 47. You have been asked by your marketing team leader to determine if a sample of owners of vacuum brand “X” have statistically different satisfaction results (80% or 8 out of 10 satisfied) with a sample of owners who use vacuum brand “Y” (75% or 7.5 out of 10). Second, we are comparing two samples.
  48. 48. You have been asked by your marketing team leader to determine if a sample of owners of vacuum brand “X” have statistically different satisfaction results (80% or 8 out of 10 satisfied) with a sample of owners who use vacuum brand “Y” (75% or 7.5 out of 10). 1st Sample Second, we are comparing two samples.
  49. 49. You have been asked by your marketing team leader to determine if a sample of owners of vacuum brand “X” have statistically different satisfaction results (80% or 8 out of 10 satisfied) with a sample of owners who use vacuum brand “Y” (75% or 7.5 out of 10). Second, we are comparing two samples.
  50. 50. You have been asked by your marketing team leader to determine if a sample of owners of vacuum brand “X” have statistically different satisfaction results (80% or 8 out of 10 satisfied) with a sample of owners who use vacuum brand “Y” (75% or 7.5 out of 10). 2nd Sample Second, we are comparing two samples.
  51. 51. You have been asked by your marketing team leader to determine if a sample of owners of vacuum brand “X” have statistically different satisfaction results (80% or 8 out of 10 satisfied) with a sample of owners who use vacuum brand “Y” (75% or 7.5 out of 10). This is an example of a 2nd Sample Sample to Sample problem
  52. 52. Sample to Sample Sample to Population
  53. 53. Which problem type are you working on?
  54. 54. Which problem type are you working on? Sample to Sample Sample to Population

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