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Understanding Histograms and Data Percentiles
Sep 17, 2024
Lecture Notes on Histograms and Data Distribution
Key Concepts
Understanding how to locate key percentiles in a histogram:
25th Percentile (Q1)
Median
75th Percentile (Q3)
Total Data Points
Total Pieces of Data
: 403
Importance of knowing the total for calculations.
Finding the Median
Definition
: The median is the middle piece of data.
Calculation
:
Divide total data points by 2: 403 / 2 = 201.5
Round up to find median position: Data Piece Number = 202.
Finding Median
:
Cumulative counting in histogram bins:
1st Bin: 36
2nd Bin: 54 (Total: 90)
3rd Bin: 69 (Total: 159)
4th Bin: 81 (Total: 240)
Median falls in the range of 25 to less than 30 minutes.
Median
: 25 up to not including 30 minutes.
Finding Q1 (25th Percentile)
Definition
: Q1 is the median of the lower half of the data.
Data in Bottom Half
: 201 pieces.
Calculation
:
Divide bottom data points by 2: 201 / 2 = 100.5
Round up to find Q1 position: Data Piece Number = 101.
Finding Q1
:
Cumulative counting:
1st Bin: 36
2nd Bin: 54 (Total: 90)
3rd Bin: 69 (Total: 159)
Q1 falls in the range of 20 to less than 25 minutes.
Q1
: 20 up to not including 25 minutes.
Finding Q3 (75th Percentile)
Definition
: Q3 is the median of the upper half of the data.
Data in Top Half
: 201 pieces.
Calculation
:
Find Q3 by counting down from the top: 101 pieces from the top.
Finding Q3
:
Cumulative counting from the top:
Last Bin: 17
Next: 21 or 22 (Total: 38)
Next: 25 (Total: 63)
Remaining needed to reach 101: 43 more pieces.
Q3 falls in the range of 35 to less than 40 minutes.
Q3
: 35 up to not including 40 minutes.
Summary of Key Values
Q1
: 20 up to 25 minutes
Median
: 25 up to 30 minutes
Q3
: 35 up to 40 minutes
Importance
Understanding these values is crucial for identifying outliers in data distributions when analyzing histograms.
Additional Tasks
Next Steps
: Estimate totals for each histogram bar to practice and apply concepts learned.
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