Engee documentation

Basics of statistics

Description

The course Fundamentals of Statistics is dedicated to solving the most important problems of mathematical statistics in Engee. You will learn how to import tabular data from files to Engee, pre-process them, build graphs of various types based on tabular data, calculate numerical characteristics of a sample, create implementations of a normally distributed random variable, select its parameters and test statistical hypotheses about parameters and the type of distribution.

Each chapter contains brief theoretical information, practical examples and tasks for independent implementation.

Knowledge requirements: course completion Welcome to Engee.

Total course time: ~2 hours.

Course program

Data import and preparation.

Loading tabular data into Engee from a file, creating categorical variables, creating new tables based on the original table according to certain criteria are studied.

Data visualization.

The construction of various types of graphs based on tabular data is studied: dot graph, histogram and dot histogram.

Numerical characteristics of the sample.

Numerical characteristics of the sample are studied: arithmetic mean, median, mean square deviation, range, interquartile range, asymmetry and kurtosis.

Normal distribution.

The probability density and distribution function, normal distribution, creation and visualization of a normally distributed random variable and selection of parameters of a normal distribution are studied.

Hypothesis testing.

The basic concepts of testing statistical hypotheses, testing hypotheses about the equality of averages and the equality of variances for two normally distributed samples and testing the hypothesis about the normal distribution of the sample are studied.