Review the concept of distribution
The normal distribution plays a very important role in statistics. In this application, its main properties are studied and samples can be obtained to relate the theoretical distribution and what is observed in a sample.
Reference intervals are important for evaluating clinical laboratory results. In this application, the different methods are presented and their validity in different situations is studied depending on the characteristics of the biomarker used.
Review the concept of confidence interval
Comparison of methods for estimating the probability of an event from a sample. Through simulations, the results of several samples can be compared and the different aspects involved in estimating probability in the population can be discussed. The sample size is a key aspect.
Relative risk plays an important role in many medical situations. This application discusses its meaning and the procedure for estimating it from the data.
The concept of odds ratio as a measure of association is especially important in case-control studies. In this application you can explore its meaning and perform various calculations and simulations.
This application explores the concept of confidence interval in the estimation of the population mean and the difference of the means of two populations. Simulations are included to compare the results of different samples and the sample size needed for an accurate estimate is discussed.
Review the concept of hypothesis test
In a hypothesis test, the compatibility of the data with respect to a hypothesis that we call null hypothesis (H0) is evaluated. In this application, we show different situations to understand the concept of expected result under H0.
This app presents the case of a hypothesis about the value of the population mean. You can observe the expected results under H0, the concept of power and the importance of the sample size in the evaluation of the results.
In this app you can explore how the different aspects of the test are calculated about the value of the difference of two population means in the case of a variable with normal distribution.