Descriptive Statistics- Measures of central tendency: mean, median, trimmed mean, harmonic mean, geometric mean. - Measures of scale: variance, standard deviation, range, interquartile range, absolute deviation from mean and median. - Higher moments: skewness, kurtosis.Probability Distributions- Probability density function (PDF). - Cumulative distribution function (CDF). - Percentile or inverse cumulative distribution function. - Moments: mean, variance, skewness and kurtosis. - Generate random samples from any distribution.Continuous Probability Distributions- Beta distribution. - Cauchy distribution. - Chi-squared distribution. - Erlang distribution. - Exponential distribution. - F distribution. - Gamma distribution. - Gumbel distribution. - Laplace distribution. - Logistic distribution. - Lognormal distribution. - Normal distribution. - Pareto distribution. - Rayleigh distribution. - Student t distribution. - Triangular distribution. - Uniform distribution. - Weibull distribution.Discrete Probability Distributions- Bernoulli distribution. - Binomial distribution. - Geometric distribution. - Hypergeometric distribution. - Negative binomial distribution. - Poisson distribution. - Uniform distribution. Histograms- One-dimensional histograms. - Probability distribution associated with a histogram.Statistical tests- Tests for the mean: one sample z-test, one sample t-test. - Paired and unpaired two-sample t test for the difference between two sample means. - One sample chi-squared test for variance. - F-test for the ratio of two variances. - One and two sample Kolmogorov-Smirnov test. - Anderson-Darling test for normality. - Chi-squared goodness-of-fit test. - Bartlett and Levene tests for homogeneity of variances.General Linear Model- Infrastructure for General Linear Model and Generalized Linear Model calculations. - Analysis of variance. - Regression

Platform:Windows, Windows 98, Windows NT, Windows 2000, Windows XP, Windows Vista

System Requirements: There is no specific requirements

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