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Update pages/5_Descriptive Statistics.py
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pages/5_Descriptive Statistics.py
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@@ -34,7 +34,7 @@ st.markdown(multi)
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multi=''':red[3. Mode]'''
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st.markdown(multi)
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st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/uFpmO9i5sXkOK4gwl3By-.png",width=
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st.subheader("1.Mean",divider="green")
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multi = '''Mean is one of the best central tendency measure used to find the central value.
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@@ -57,3 +57,33 @@ multi = '''
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st.markdown(multi)
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st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/UZDbaPifn2kfsYA5NlSNw.png",width=300)
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multi=''':red[3. Mode]'''
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st.markdown(multi)
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st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/uFpmO9i5sXkOK4gwl3By-.png",width=400)
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st.subheader("1.Mean",divider="green")
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multi = '''Mean is one of the best central tendency measure used to find the central value.
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st.markdown(multi)
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st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/UZDbaPifn2kfsYA5NlSNw.png",width=300)
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st.subheader("a. Arithemetic Mean",divider="red")
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multi = '''Arithmetic mean is sum of all the observations divided by the total number of observations.The data follows the arithmetic sequence'''
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st.markdown(multi)
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st.latex(r"\text{Arithmetic Mean} = \frac{\sum_{i=1}^{n} x_i}{n}")
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multi = '''--->xi represents each data point
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--->n is the total number of data points.'''
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st.markdown(multi)
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st.subheader("b. Geometric Mean",divider="red")
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multi = '''Geometric mean of a series containing n observations is the nth root of the product of the observations.The data follows geometric sequence'''
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st.markdown(multi)
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st.latex(r"\text{Geometric Mean} = \left( \prod_{i=1}^{n} x_i \right)^{\frac{1}{n}}")
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multi = '''--->xi represents each data point.
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--->n is the total number of data points.
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--->∏ denotes the product of all data points.'''
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st.markdown(multi)
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st.subheader("c. Harmonic Mean",divider="red")
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multi = '''Harmonic mean is the reciprocal of the arithmetic mean.The data follows the harmonic sequence it means ratio'''
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st.markdown(multi)
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st.latex(r"\text{Harmonic Mean} = \frac{n}{\sum_{i=1}^{n} \frac{1}{x_i}}")
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multi = '''--->xi represents each data point.
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--->n is the total number of data points.
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---> harmonic mean is particularly used for rates or ratios.'''
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st.markdown(multi)
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