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IS THAT DIFFERENCE SIGNIFICANT?

ANALYTICS

• Scenario 1 - testing for significant differences on results based on the same sample
  • Scenario 2 - testing for significant differences on results from separate samples
  • Scenario 3 - testing for significant differences between sample means
  • Scenario 4 – testing the accuracy of a survey result

Example: Is a market share result of 39% for Brand A significantly higher than one of 32% for Brand B based on the same sample of 1,000 people?

Answer: Yes it is - at the 95% confidence level the difference needed is 5.2% - the observed difference is 7.0%

If you would like to run this test on your own data please use the calculator below.

SAMPLE SIZE:
PERCENT 1:
PERCENT 2:
% ACTUAL DIFF:
% DIFF REQ'D AT 95% CONFIDENCE LEVEL:
IS DIFFERENCE SIGNIFICANT?
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• Introduction
• Understanding Loyalty
• Predicting Uptake
• Segmenting the Market
• Advanced Analysis Techniques
• Is That Difference Significant
• What is Insight?

RELATED LINKS

• Business Sector
• Qualitative