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Update app.py
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app.py
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@@ -12,13 +12,13 @@ st.header("Types of statistics")
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st.write("there are mainly 2 type of statistics")
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st.markdown("red[1.discriptive statistics]")
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st.markdown("blue[2.inferencial statistics]")
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st.subheader("1.Descriptive statistics:")
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st.markdown("- population: The population referes to compleate data . The outcome is called as parameter.")
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@@ -26,7 +26,7 @@ st.markdown("- sample : small amount of population is called sample. The outcome
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st.subheader("2. Inferencial Statistics:")
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-
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st.subheader("descriptive statistics are mainly divided into three types:")
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@@ -38,15 +38,16 @@ st.markdown("distribution")
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st.header("Measures of central tendency")
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1.Arithmetic Mean
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2.Geometric Mean
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3.Harmonic Mean
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4.Median
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5.Mode")
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st.write("there are mainly 2 type of statistics")
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st.markdown(":red[1.discriptive statistics]")
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st.markdown(":blue[2.inferencial statistics]")
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st.subheader("1.Descriptive statistics:")
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st.write("So basically in this type we describe the data and helps to describe and summarize in terms of population or sample. population referes to compleate data whereas the sample leads to a sub part of the population.")
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st.markdown("- population: The population referes to compleate data . The outcome is called as parameter.")
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st.subheader("2. Inferencial Statistics:")
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st.write("this refers to understanding of the data and draw conclusions based on analysing on a sample data of the population.")
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st.subheader("descriptive statistics are mainly divided into three types:")
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st.header("Measures of central tendency")
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st.write("This measure is used to calculate the central or average value of the data.The measures which are used to calculate central tendency are,")
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st.write("** 1.Arithmetic Mean ** ")
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st.write(" ** 2.Geometric Mean **")
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st.write(" ** 3.Harmonic Mean **)
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st.write(" ** 4.Median ** ")
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st.write(" ** 5.Mode **")
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