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Update pages/Levels Of Measurement.py

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  1. pages/Levels Of Measurement.py +4 -4
pages/Levels Of Measurement.py CHANGED
@@ -6,16 +6,16 @@ st.title("**Level(scales) Of Measurement**")
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  st.header("The four scales of measurement")
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  st.write("By understanding the scale of the measurement we can collect and record your data")
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- st.subheader("1. Nominal scale of measurement")
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  st.write("Nominal scale of measurement - You can categorize your data by labelling them in mutually exclusive groups, but there is no order between the categories.**Examples of nominal scales:** City of birth,Gender,Car brands,Marital status.")
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- st.subheader("2. Ordinal scale of measurement")
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  st.write("Ordinal scale of measurement - You can categorize and rank your data in an order, but you cannot say anything about the intervals between the rankings.**Examples of ordinal scales:** Top 3 Olympic medallists,Language ability (e.g., beginner, intermediate, fluent).")
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- st.subheader("3. Interval scale of measurement")
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  st.write("Interval scale of measurement - You can categorize, rank, and infer equal intervals between neighboring data points, but there is no true zero point.**Examples of interval scales:** Test scores (e.g., IQ or exams),Temperature in Fahrenheit or Celsius.")
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- st.subheader("4. Ratio scale of measurement")
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  st.write("Ratio scale of measurement - You can categorize, rank, and infer equal intervals between neighboring data points, and there is a true zero point.A true zero means there is an absence of the variable of interest. In ratio scales, zero does mean an absolute lack of the variable.**Examples of ratio scales:** Height,Age,Weight,Temperature in Kelvin")
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  st.image("https://static.wixstatic.com/media/63f6e6_a8f81725eb1e47bbb54fea22597a9fbc~mv2.jpg/v1/fill/w_980,h_538,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/63f6e6_a8f81725eb1e47bbb54fea22597a9fbc~mv2.jpg")
 
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  st.header("The four scales of measurement")
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  st.write("By understanding the scale of the measurement we can collect and record your data")
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+ st.subheader(":blue[**1. Nominal scale of measurement**]")
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  st.write("Nominal scale of measurement - You can categorize your data by labelling them in mutually exclusive groups, but there is no order between the categories.**Examples of nominal scales:** City of birth,Gender,Car brands,Marital status.")
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+ st.subheader(":blue[**2. Ordinal scale of measurement**]")
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  st.write("Ordinal scale of measurement - You can categorize and rank your data in an order, but you cannot say anything about the intervals between the rankings.**Examples of ordinal scales:** Top 3 Olympic medallists,Language ability (e.g., beginner, intermediate, fluent).")
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+ st.subheader(":blue[**3. Interval scale of measurement**]")
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  st.write("Interval scale of measurement - You can categorize, rank, and infer equal intervals between neighboring data points, but there is no true zero point.**Examples of interval scales:** Test scores (e.g., IQ or exams),Temperature in Fahrenheit or Celsius.")
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+ st.subheader(":blue[**4. Ratio scale of measurement**]")
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  st.write("Ratio scale of measurement - You can categorize, rank, and infer equal intervals between neighboring data points, and there is a true zero point.A true zero means there is an absence of the variable of interest. In ratio scales, zero does mean an absolute lack of the variable.**Examples of ratio scales:** Height,Age,Weight,Temperature in Kelvin")
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  st.image("https://static.wixstatic.com/media/63f6e6_a8f81725eb1e47bbb54fea22597a9fbc~mv2.jpg/v1/fill/w_980,h_538,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/63f6e6_a8f81725eb1e47bbb54fea22597a9fbc~mv2.jpg")