Descriptive Statistics [Simply explained]
In this video we are gone talk about descriptive statistics and I will explain the four key components in a simple way. Descriptive statistics aims to describe and summarize a dataset in a meaningful way. It provides a simple overview of the main characteristics of data. But it is important to note, that descriptive statistics only describe the collected data without drawing conclusions about a larger population. To describe data descriptively, we look at the four key components:
Measures of Central Tendency, Measures of Dispersion, Frequency Tables and Charts
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0:00 What is Descriptive Statistics?
0:40 What is Descriptive Statistics vs. Inferential Statistics
1:13 Measures of Central Tendency, Measures of Dispersion, Frequency Tables and Charts
1:27 What are Measures of Central Tendency?
3:58 What are Measures of Dispersion?
6:19 Measures of Central Tendency vs. Measures of Dispersion?
7:13 What are frequency table and contingency table?
9:22 Charts in Descriptive Statistics
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