@@ -199,18 +199,28 @@ Example: A student’s grade point average (GPA), provides a good understanding
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201201### Type of Descriptive Statstics:
202- Descriptive statistics are broken down into two categories. Measures of central tendency and measures of spread (variability or dispersion).
202+ Descriptive statistics are broken down into two categories. ** Measures of Central Tendency ** and ** Measures of Spread (variability or dispersion)** .
203203
204- #### (1) Measure of Centre(Central Tendency)
205- ##### (a) Mean
204+ #### (1) Measure of Centre(Central Tendency):
205+ The data values for most numerical variables tend to group around a specific value
206+ 207+ Measure of centre help us to describe what extent this pattern holds for a specific numerical variable
208+ 209+ Three commonly-used measures of centre:
210+ 211+ ##### (a) Mean (also known as the arithmetic mean or average)
206212##### (b) Median
207213##### (c) Mode
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215+ 209216#### (2) Measure of Spread (Variability / Dispersion)
210217##### (a) Range
211- ##### (b) Inter-Quartile Range
212- ##### (c) Variance
213- ##### (d) Standard Deviation
218+ ##### (b) Percentiles/Quartiles
219+ ##### (c) Inter-Quartile Range (IQR)
220+ ##### (d) Variance
221+ ##### (e) Standard Deviation
222+ ##### (f) Skewness
223+ ##### (g) Kurtosis
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215225# 6. Information Gain and Entropy
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