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Update app.py
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app.py
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@@ -162,4 +162,27 @@ st.image("https://cdn-uploads.huggingface.co/production/uploads/64c972774515835c
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# Introduction to Statistics
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st.title("2 : INTRODUCTION TO STATISTICS")
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st.markdown("""
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_Statistics is a branch of mathematics focused on collecting, analyzing, interpreting
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# Introduction to Statistics
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st.title("2 : INTRODUCTION TO STATISTICS")
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st.markdown("""
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_Statistics is a branch of mathematics focused on collecting, analyzing, interpreting, and presenting data. It can be divided into two main categories:_
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""", unsafe_allow_html=True)
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# Descriptive Statistics Section with interactive elements
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st.subheader("2.1 Descriptive Statistics")
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st.markdown("""
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Descriptive statistics summarize and describe the main features of a dataset. Key concepts include:
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<ul class="icon-bullet">
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<li>Measures of Central Tendency (Mean, Median, Mode)</li>
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<li>Measures of Dispersion (Range, Variance, Standard Deviation)</li>
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<li>Data Distributions (e.g., Gaussian, Random, Normal)</li>
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</ul>
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""", unsafe_allow_html=True)
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# Example of an interactive chart for Central Tendency
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values = st.slider('Select a range of values', 0, 100, (25, 75))
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mean_value = sum(values) / len(values)
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st.write(f"Mean Value: {mean_value}")
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# Inferential Statistics Section
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st.subheader("2.2 Inferential Statistics")
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st.markdown("""
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Inferential statistics involve making predictions or inferences about a population based on a sample. These methods are used to test hypotheses and estimate population parameters.
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""", unsafe_allow_html=True)
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