Update pages/5_Descriptive Statistics.py

pages/5_Descriptive Statistics.py

@@ -96,28 +96,33 @@ st.markdown('''If the every observation of collected data is same then mean is :
 st.latex(r"\text{Harmonic Mean} = \text{Geometric Mean} = \text{Arithmetic Mean}")
 multi = '''Collected data has 2 types of mean :
 
-    population mean(**parameter**)
+    population mean("**parameter**")
     
-    sample mean(**statistics**)
+    sample mean("**statistics**")
     '''
 st.markdown(multi)
 st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/fNxt5Geo3GZp5kZP0pHiV.png")
+st.subheader("Population Mean",divider="violet")
+st.markdown('''measure of population mean is probably known as parameter''')
 
 st.latex(r"\text{Population Arithmetic Mean} (\mu) = \frac{1}{N} \sum_{i=1}^{N} x_i")
 
-st.latex(r"\text{Sample Arithmetic Mean} (\bar{x}) = \frac{1}{n} \sum_{i=1}^{n} x_i")
-
 st.latex(r"\text{Population Geometric Mean} = \left( \prod_{i=1}^{N} x_i \right)^{\frac{1}{N}}")
 
-st.latex(r"\text{Sample Geometric Mean} = \left( \prod_{i=1}^{n} x_i \right)^{\frac{1}{n}}")
-
 st.latex(r"\text{Population Harmonic Mean} = \frac{N}{\sum_{i=1}^{N} \frac{1}{x_i}}")
 
+st.subheader("Sample Mean",divider="violet")
+st.markdown('''measure of sample mean is probably known as statistics''')
+
+st.latex(r"\text{Sample Arithmetic Mean} (\bar{x}) = \frac{1}{n} \sum_{i=1}^{n} x_i")
+
+st.latex(r"\text{Sample Geometric Mean} = \left( \prod_{i=1}^{n} x_i \right)^{\frac{1}{n}}")
+
 st.latex(r"\text{Sample Harmonic Mean} = \frac{n}{\sum_{i=1}^{n} \frac{1}{x_i}}")
 
-multi = '''N represents the total number of observations in the population - size of population data
+multi = '''--->N represents the total number of observations in the population - size of population data
 
-n represents the total number of observations in the sample - subset of population data
+--->n represents the total number of observations in the sample - subset of population data
 
-xi represents each individual observation.'''
+--->xi represents each individual observation.'''
 st.markdown(multi)