Analyse-it General statistics Chi-square, Fisher, McNemar

Rates & proportions.
Examine contingency tables and categorical responses with Chi-square, Fisher Exact, McNemar and Cochran Q statistical functions. Data can be accepted as counts summarized in a table, or as raw data to be tallied and analyzed. 


Chi-square contingency table analysis to test whether 2 factors are independent.  



Fisher exact to test for a difference in proportion between 2 samples.
large sample sizes supported 
show difference between proportions as difference, odds ratio or relative risk, all with confidence intervals
1- & 2-sided hypothesis
exact p-value


McNemar to test for a change in proportion between 2 samples.
show difference between proportions as difference or odds-ratio, both with exact confidence interval
1- & 2-sided hypothesis
exact p-value



Chi-square to test for an association (or independence) between categorical variables.
table of actual and expected counts
Yates correction for continuity on 2x2 tables
Chi-square statistic & p-value


Binomial test to test proportion of categories against a hypothesized proportion.
1- and 2-sided hypothesis
exact confidence interval around observed proportion.
exact p-value


Cochran Q test to test for a for a change in proportion between 2 or more samples.
 




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Analyse-it General statistics
   Overview
   Descriptives & normality
   Group comparisons
Rates & proportions
   Correlation & regression
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   Pricing & online ordering

Analyse-it Clinical Laboratory
Bias plots, method comparison,
reference ranges, ROC curves,
imprecision & linearity

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