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Update pages/statistics.py
Browse files- pages/statistics.py +1 -1
pages/statistics.py
CHANGED
@@ -66,7 +66,7 @@ def show_content(topic):
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2. Sample Data: This refers to data collected from a subset of the population. A sample is a group of subjects selected from the population. For example, if it’s not feasible to measure the height of every adult man in India, you might measure the heights of a sample of 1000 men selected randomly from across the country. The idea is that the sample represents the population and can give you a good estimate of the population parameter.
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In both cases, the goal is usually to learn something about the population. When it’s not practical or possible to study the entire population, then a sample is used, and statistical inference is used to draw conclusions about the population based on the sample.
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""")
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st.image(
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st.write("Examples:")
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st.write("1. Educational levels (e.g., elementary school, high school, bachelor’s degree, master’s degree).")
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st.write("2. Satisfaction levels (e.g., very satisfied, somewhat satisfied, neither satisfied nor dissatisfied, somewhat dissatisfied, very dissatisfied).")
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2. Sample Data: This refers to data collected from a subset of the population. A sample is a group of subjects selected from the population. For example, if it’s not feasible to measure the height of every adult man in India, you might measure the heights of a sample of 1000 men selected randomly from across the country. The idea is that the sample represents the population and can give you a good estimate of the population parameter.
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In both cases, the goal is usually to learn something about the population. When it’s not practical or possible to study the entire population, then a sample is used, and statistical inference is used to draw conclusions about the population based on the sample.
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""")
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st.image("images\page_7_img_1.png")
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st.write("Examples:")
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st.write("1. Educational levels (e.g., elementary school, high school, bachelor’s degree, master’s degree).")
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st.write("2. Satisfaction levels (e.g., very satisfied, somewhat satisfied, neither satisfied nor dissatisfied, somewhat dissatisfied, very dissatisfied).")
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