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Understanding Measures of Position in Statistics
Nov 7, 2024
Descriptive Statistics: Measures of Position
Overview
Measures of position indicate where a data point sits in a distribution or dataset.
Compare data points within the same or across different datasets.
Quartiles
Quartiles
divide ordered data into four parts.
Q2 (Median):
Splits data into top 50% and bottom 50%.
Q1 (First Quartile):
25% below, 75% above.
Q3 (Third Quartile):
75% below, 25% above.
Quartiles correspond to percentiles:
Q1 = 25th percentile
Q2 = 50th percentile (Median)
Q3 = 75th percentile
Finding Quartiles
Sort data
in ascending order.
Find Q2 (Median):
Even number of data points:
Average of two middle values.
Odd number of data points:
Middle value.
Exclude the median
if it's a data point and find Q1 and Q3:
Q1:
Median of lower half.
Q3:
Median of upper half.
Software and Quartile Calculation
Different software (SPSS, Excel, Jamovi) may give different quartile values.
SPSS, Excel, and Jamovi may differ in methods, especially for Q1 and Q3.
Interquartile Range (IQR)
IQR = Q3 - Q1
Represents the middle 50% of data.
More robust to outliers compared to total range due to focus on central data.
Five Number Summary
Components:
Minimum, Q1, Q2 (Median), Q3, Maximum.
Provides measures of central tendency and variability (IQR, Range).
Box Plots
Visual representation of five number summary.
Box:
Q1 to Q3.
Line inside Box:
Q2 (Median).
Whiskers:
Extend to minimum and maximum, unless outliers are present.
Useful for showing distribution shape, symmetry, and skewness.
Interpreting Box Plots
Symmetrical Distribution:
Whiskers are equal length, median centered.
Positive Skew:
Long whisker towards higher values, median towards lower end.
Negative Skew:
Long whisker towards lower values, median towards higher end.
Modified Box Plots
Show outliers explicitly using symbols (e.g., asterisks, circles).
Outliers:
Less than Q1 - 1.5 * IQR or more than Q3 + 1.5 * IQR.
Extreme Outliers:
Less than Q1 - 3 * IQR or more than Q3 + 3 * IQR.
Whiskers adjusted to nearest non-outlier value.
Example
Example data ranging from 1 to 10 with analysis:
Q2 = 5.5,
Q1 = 3,
Q3 = 8.
Demonstrates calculation of quartiles and visualization in box plots.
Important Notes
Manual calculation methods may differ from software outputs.
Follow specific instructions for manual calculations when required.
Box plots preferred for skewed distributions due to robustness to outliers.
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Full transcript