The Statistical Tables consist of the 11 statistical distribution tables in this tools. You needn take the thick statistics book anymore if you have this tool in your mobile phone. You can try various variables or parameters to compare the different conditions, which other programs do not allow you this flexibility. This is the powerful tools for students and statistics related person. The following distribution tables are in this tools now.
- t Distribution. The t distribution is symmetric about zero, and its general shape is similar to that of the standard normal distribution. It is most commonly used in testing hypothesis about the mean of a particular population.
- Chi-square Distribution. The chi-square distribution is most frequently used in the modeling of random variables in statistical applications. The sum of n independent squared random variables, each distributed following the standard normal distribution, is distributed as Chi-square with n degrees of freedom.
- Normal Distribution. The normaldistribution (the "bell-shaped curve" which is symmetrical about the mean) is atheoretical function commonly used in inferential statistics as an approximationto sampling distributions. In general, the normal distribution provides a goodmodel for a random variable.
- F Distribution. F distribution is most commonly used in tests of variance (e.g.,ANOVA). The ratio of two chi-squares divided by their respective degrees of freedom is said to follow an F distribution. The F distribution has the probability density function.
- Binomial Distribution. The binomial distribution is useful for describing distributions of binomial events, such as the number of males and females in a random sample of companies, or the number of defective components in samples of 20 units taken from a production process.