 # Introduction to Statistics for nonmathematicians From basics to t tests

## Description

In this course you will learn about: basic concepts of statistics (quantification, variables & constants, samples, and populations, randomness, and representativeness, parameters and statistics, units of analysis, databases), scales of measurement (the nominal, the ordinal, the interval, and the ratio scale) and types of variables (continuous & discrete, parametric & nonparametric), how to convert one type of scale into another, basic description of the data (mean, median, mode, range, variance, standard deviation), theoretical & real distributions, standardization (the Z scores), the normal distribution and its properties, hypothesis testing, the probability of the null hypothesis, the Z test, the t-test and the t distributions, the independent samples t-test.

In all presentations, the focus is moved from mathematical aspects to basic principles behind each statistical procedure, so that each topic is very easy to understand. The rhythm of the presentation is well calibrated to facilitate the understanding of each new concept.

Each section is followed by several exercises in which you can consolidate your newly acquired knowledge. In addition, you will receive for each section the tables with critical values for your statistical indicators and a document with all exercises resolved to check if you work correctly.

Good luck on your way to becoming an expert in Statistics!

English
language

## Content

1. Basic concepts of statistics
1.1. Basic concepts of statistics – Part I
1.2. Basic concepts of statistics – Part II
1.3. Exercises
2. Scales of measurement & types of variables
2.1. Scales of measurement & types of variables – Part I
2.2. Scales of measurement & types of variables – Part II
2.3. Exercises
3. Basic description of the data
3.1. Basic description of the data – Part I
3.2. Basic description of the data – Part II
3.3. Exercises
4. Standardization. The normal distribution and hypothesis testing
4.1. Standardization. The normal distribution and hypothesis testing – Part I
4.2. Standardization. The normal distribution and hypothesis testing – Part II
4.3. Exercises
5. The t test and the t distributions
5.1. The t test and the t distributions – Part I
5.2. The t test and the t distributions – Part II
5.3. Exercises
6. The independent samples t test
6.1. The independent samples t test – Part I
6.2. The independent samples t test – Part II
6.3. Exercises

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