Comparison of proportions
Performs a Chi-squared test for the comparison of proportions observed in two independent samples. Proportions are expressed as a percentages.
For both samples, you enter:
- Observed proportion (%): the observed proportion, expressed as a percentage.
- Sample size: the sample size or total number of observations in the sample.
The program calculates:
- the difference between the two proportions and a 95% confidence interval for this difference;
- Chi-squared test and P value.
If the P-value is less than 0.05, the conclusion is that the two proportions indeed differ significantly.
SciStat.com uses the "N-1" Chi-squared test as recommended by Campbell (2007) and Richardson (2011).
The confidence interval is calculated according to the recommended method given by Altman et al. (2000).
- Altman DG, Machin D, Bryant TN, Gardner MJ (Eds) (2000) Statistics with confidence, 2nd ed. BMJ Books. (p. 49)
- Campbell I (2007) Chi-squared and Fisher-Irwin tests of two-by-two tables with small sample recommendations. Statistics in Medicine 26:3661-3675.
- Richardson JTE (2011) The analysis of 2 x 2 contingency tables - Yet again. Statistics in Medicine 30:890.
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