Update pages/5_Descriptive Statistics.py

pages/5_Descriptive Statistics.py

@@ -161,4 +161,15 @@ There are 5 types of mode. They are No mode, Unimode, Bimode, Trimode, and Multi
 :violet[Multimodal Mode] - set of data with more than three modes(frequently repeated values are more than 3) is known as a multimode.'''
 st.markdown(multi)
 
+st.subheader("Outliers",divider="red")
+multi = '''Outliers are data points that differ significantly from the majority of the data in a dataset.
+Identifying and managing outliers is crucial for accurate data analysis as they can lead to misleading conclusions about central tendency and variability.'''
+st.markdown(multi)
+
+st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/mwVV5w-qU0LjiBiVnr-H3.png")
+
+multi = '''Central tendency value can be corrupted by the outliers.If the dataset is having outlier then mean is pulled out by the outlier.
 
+--->If the outliers are in dataset we have to use median as it is not effected by the outlier.If the outliers are more than 50% then only median will be effected -in this case the data is separated and statistical measures are calculated
+'''
+st.markdown(multi)