![]() ![]() Also, you can compare 'proportion' averages, basically a number divided by a larger number. The certainty with which these averages are measured are expressed in the standard deviation. You can compare 'continuous' averages, they can be above or below one, examples are the difference in mean length or weight between two groups of people. It can be used to compare the difference in weight between two groups on a different diet, or to compare the proportion of patients suffering from complications after two different types of operations, or the number of traffic accidents on two busy junctions. T-test concerns a number of procedures concerned with comparing two averages. Odds Ratio | Risk Ratio | Rate Ratio | Number Needed to Treat (NNT) | Fisher Exact Analysis | Other Exact AnalysisĮqual Variance Analysis | Confidence Intervals | Degrees of Freedom | Population Analysis Select options and hit the population button. Input either a population standard deviation in the first standard deviation box or a sample standard deviation in the bottom standard deviation box. Input a number of cases in the first number of cases box. Input one expected normally distributed average in the top box and an observed average in the second box. To test for the significance of a difference between an average and an expected value. Input an expected proportion or number in the top box and an observed binomial proportion in the second box. To test for the significance of a difference between an expected and an observed proportion. All the other boxes should have the value zero ('0'). ![]() Input an expected integer number in the top box and an observed number in the second box. To test for the significance of a difference between one observed Poisson count and an expected count. Select options and hit the calculate button.Ĭompare a single group with the population Input two observed real numbers in the top two boxes, two numbers of cases in the number of cases boxes and two standard deviations in the standard deviations boxes, so that there is a value in each box. To test for the significance of a difference between two normally distributed averages. If you input a number it will be divided by the number of cases before the analysis to obtain a proportion. Input two observed proportions or two observed integer numbers in the top two boxes and two numbers of cases in the number of cases boxes. To test for the significance of difference between two proportions or percentages. Input two observed counts in the top two boxes. ![]() To test for the significance of a difference between two Poisson counts. Compare two means, two proportions or counts online. ![]()
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