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Chapter 4

Sampling

37 slides · Slide 117–153

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117SamplingChapter opener 118Dewey Defeats TrumanDewey Defeats Truman 119SamplingSampling 120SamplingSampling 121Sampling: Two General MethodsSampling: Two General Methods 122Sampling TechniquesSampling Techniques 123SamplingSampling 124Convenience SamplingConvenience Sampling 125Judgmental SamplingJudgmental Sampling 126Quota SamplingQuota Sampling 127Snowball Sampling also chain samplingSnowball Sampling also chain sampling 128SamplingSampling 129Sampling TechniquesSampling Techniques 130Simple and Systematic Random SamplingSimple and Systematic Random Sampling 131Stratified SamplingStratified Sampling 132Cluster Samplingalso called cluster samplingCluster Samplingalso called cluster sampling 133SamplingSampling 134Strengths and Weaknesses of Basic Sampling TechniquesStrengths and Weaknesses of Basic Sampling Techniques 135SamplingSampling 136Determining the Sample SizeDetermining the Sample Size 137Sample Sizes Used in Marketing Research StudiesSample Sizes Used in Marketing Research Studies 138A survey result — and how certain is it?A survey result — and how certain is it? 139Margin of Error Approach to Determining Sample SizeMargin of Error Approach to Determining Sample Size 140Margin of error approach: two formulasMargin of error approach: two formulas 141Margin of Error Approach: Two FormulasMargin of Error Approach: Two Formulas 142Margin of Error Approach: Two FormulasMargin of Error Approach: Two Formulas 143z-Values and Maximum Margin of Errorz-Values and Maximum Margin of Error 144What Is the Margin of Error?What Is the Margin of Error? 145How Large Must the Sample Be?How Large Must the Sample Be? 146What If the Population Is Small?What If the Population Is Small? 147Correcting the Sample SizeCorrecting the Sample Size 148Correction for a small population: ± 1 %Correction for a small population: ± 1 % 149Correction for a small population: ± 5 %Correction for a small population: ± 5 % 150Correction for a small population: ± 10 %Correction for a small population: ± 10 % 151Confidence Interval and Confidence LevelConfidence Interval and Confidence Level 152Confidence Interval, Margin of Error, and Sample SizeConfidence Interval, Margin of Error, and Sample Size 153What the Margin of Error Formula Tells UsWhat the Margin of Error Formula Tells Us
All 37 slides in this chapter →
  1. 117 · Sampling
  2. 118 · Dewey Defeats Truman
  3. 119 · Sampling
  4. 120 · Sampling
  5. 121 · Sampling: Two General Methods
  6. 122 · Sampling Techniques
  7. 123 · Sampling
  8. 124 · Convenience Sampling
  9. 125 · Judgmental Sampling
  10. 126 · Quota Sampling
  11. 127 · Snowball Sampling also chain sampling
  12. 128 · Sampling
  13. 129 · Sampling Techniques
  14. 130 · Simple and Systematic Random Sampling
  15. 131 · Stratified Sampling
  16. 132 · Cluster Samplingalso called cluster sampling
  17. 133 · Sampling
  18. 134 · Strengths and Weaknesses of Basic Sampling Techniques
  19. 135 · Sampling
  20. 136 · Determining the Sample Size
  21. 137 · Sample Sizes Used in Marketing Research Studies
  22. 138 · A survey result — and how certain is it?
  23. 139 · Margin of Error Approach to Determining Sample Size
  24. 140 · Margin of error approach: two formulas
  25. 141 · Margin of Error Approach: Two Formulas
  26. 142 · Margin of Error Approach: Two Formulas
  27. 143 · z-Values and Maximum Margin of Error
  28. 144 · What Is the Margin of Error?
  29. 145 · How Large Must the Sample Be?
  30. 146 · What If the Population Is Small?
  31. 147 · Correcting the Sample Size
  32. 148 · Correction for a small population: ± 1 %
  33. 149 · Correction for a small population: ± 5 %
  34. 150 · Correction for a small population: ± 10 %
  35. 151 · Confidence Interval and Confidence Level
  36. 152 · Confidence Interval, Margin of Error, and Sample Size
  37. 153 · What the Margin of Error Formula Tells Us