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Update pages/5_Descriptive Statistics.py
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pages/5_Descriptive Statistics.py
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@@ -126,3 +126,39 @@ multi = '''--->N represents the total number of observations in the population -
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--->xi represents each individual observation.'''
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st.markdown(multi)
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--->xi represents each individual observation.'''
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st.markdown(multi)
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st.subheader("2.Median",divider="green")
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multi = '''Median is one of the central tendency measure used to find the central value.
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Median gives the precise central value of the data.
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It uses only central values so we may not get accurate central point of the data.It is used mostly in ordered data.'''
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st.markdown(multi)
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multi=''':red[Odd number of observations]'''
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st.markdown(multi)
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st.latex(r"\text{Median} = x_{\left(\frac{n+1}{2}\right)}")
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multi=''':red[Even number of observations]'''
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st.markdown(multi)
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st.latex(r"\text{Median} = \frac{x_{\left(\frac{n}{2}\right)} + x_{\left(\frac{n}{2} + 1\right)}}{2}")
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st.subheader("3.Mode",divider="green")
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multi = '''Mode is one of the central tendency value used to find the central data.
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Mode gives the datapoint or value which is frequently occuring.It is mostly used in categorical data.
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Types of Mode:
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There are 5 types of mode. They are No mode, Unimode, Bimode, Trimode, and Multimode
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:red[No mode] - set of data which has no frequently ocuuring value then it contains no mode
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:red[Unimodal Mode] - set of data with one mode (frequently repeated values are 1) is known as a unimode.
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:red[Bimodal Mode] - set of data with two modes (frequently repeated values are 2) is known as a bimode
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:red[Trimodal Mode] - set of data with three modes(frequently repeated values are 3) is known as a Trimode
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:red[Multimodal Mode] - set of data with more than three modes(frequently repeated values are more than 3) is known as a multimode.'''
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st.markdown(multi)
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