VARIJABLE, PODACI I DESKRIPTIVNE STATISTIČKE METODE – DEO I

Abstract

Introduction. Statistics play a crucial role in clinical practice, enabling the comprehension of professional and scientific literature. A fundamental understanding of variables, data, and both descriptive and inferential statistics is essential.

Variables. Variables represent characteristics that differ between subjects. They are measured, and their values are expressed by data.

Scales of measurement. There are four measurement scales: nominal, ordinal, interval, and ratio. The nominal scale classifies qualitative variable into distinct categories without any inherent order. The ordinal scale categorizes qualitative variables in a specific sequence, though the differences between categories lack a defined numerical meaning. The interval scale applies to quantitative variables, ensuring that the differences between successive values are equal, but it lacks an absolute zero. The ratio scale also features equal intervals between values but includes an absolute zero, allowing for meaningful ratio comparisons.

Descriptive statistics. Descriptive statistics summarize and numerically represent data to enhance clarity and interpretability. This includes measures of frequency, central tendency, variability, and distribution shape, alongside tabular and graphical data presentations.

Conclusion. This article outlines fundamental concepts related to variables, data, and descriptive statistics, providing practical examples to illustrate their application.