# data analysis

### General linear models and generalised linear models - differences and similarities

In data analysis, the use of generalised linear models is common because of their simplicity and ease of interpretation of the...

### Bayesian inference

Bayesian inference is a method of statistical inference. It is named after Thomas Bayes, the British mathematician and pastor who...

### Data gaps in quantitative data analysis – what are they and how to deal with them?

Missing data in the context of data analysis refers to situations where there are no values for certain variables or observations...

### Recoding quantitative variables into qualitative ones – techniques and their practical application

When analyzing data, we consider both quantitative information (such as salary, age, number of products ordered) and qualitative...

### Population Pyramid

When looking for the best way to visualize the data you have, you may come across an impressively wide range of different types of...

### The Three-Sigma Rule

The three-sigma rule is an important tool in statistics and quality management. In the context of data analysis, it allows the...

### Segmentation: from grouping to classification

Segmentation is a key process in data analysis, dividing a data set into relatively homogeneous groups based on specific criteria....

### Outlier or anomaly? Detection of abnormal observations

Can one abnormal occurrence cause concern? Based on one deviation from the norm, should a red light start flashing? Of course! In...

### Statistical inference

Statistical inference is the branch of statistics through which it becomes possible to describe, analyse and make inferences about...

### Outlier cases. Identification and significance in data analysis

In data analysis, it is important to identify unusual observations that are significantly different from the others. Such values, called outliers or outlier cases, can affect the...

### Levels of measurement

The level of measurement is one of the most important properties of variables. It determines which statistical tests will be available to the researcher during the course of the...

### Pearson's chi-square correlation test

Popular statistical tests include Pearson's chi-square tests. It is worth noting at the outset that this test has more than one application. In this material, I will discuss the...

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