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Introduction to Statistics for nonmathematicians

From basics to multiple regression

4.7 / 5.0
1456 students4 hours 3 minutes

Created by Sebastian Pintea, offered on Udemy

bestcourses score™

Student feedback

5.9/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 1456 students which left 38 reviews at an average rating of 4.7, which is average.

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 4 hours 3 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 6 minutes.

Overall score

6.5/10

This course currently has a bestcourses score of 6.5/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

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 confidence intervals, the independent samples t-test, the repeated measures t-test, the Analysis of Variance (ANOVA) for independent samples and repeated measures, the Pearson correlation, the simple and the multiple linear regression.

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!

What you will learn

  • To understand and use correctly the basic concepts of statistics
  • To perform the descriptive analysis of data
  • To estimate statistical parameters in the population
  • To perform comparisons between two or more groups using t tests and ANOVA
  • To perform comparisons between two or more sets of repeated measures using t tests and ANOVA
  • To understand and perform correlation analysis of data
  • To build simple and multiple predictive models using linear regression

Requirements

  • No specific experience needed
  • Basic knowledge of arithmetic operations
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Frequently asked questions

  • Price: $19.99
  • Platform: Udemy
  • Language: English
  • 4 hours 3 minutes
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bestcourses score: 6.5/10

There might be better courses available for this topic.