BackDescribing Data Numerically: 5-Number Summary and Calculator Use
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Describing Data Numerically Using a Graphing Calculator
5-Number Summary
The 5-number summary is a concise way to describe the distribution of a dataset using five key values. These values provide insight into the center, spread, and overall range of the data.
Minimum: The smallest data value.
First Quartile (Q1): The value below which 25% of the data fall.
Median (Q2): The middle value, dividing the data into two equal halves.
Third Quartile (Q3): The value below which 75% of the data fall.
Maximum: The largest data value.
These five statistics are useful for summarizing the distribution and identifying potential outliers.
Example: Student Ages in Statistics Class
Given the ages of students in a college statistics class:
Student Ages |
|---|
19, 20, 21, 21, 21, 22, 22, 22, 23, 23, 24, 24, 25, 26, 28 |
The 5-number summary for this dataset is:
Minimum: 19
Q1: 21
Median: 22
Q3: 24
Maximum: 28
Using a TI-84 Calculator to Find the 5-Number Summary
For large datasets, calculating quartiles and medians by hand is tedious. A graphing calculator can quickly compute these values.
Enter the data into a list (e.g., L1).
Press STAT, then select CALC and choose 1-Var Stats.
Specify the list containing your data (e.g., L1).
Press ENTER to view the summary statistics, including the 5-number summary.
Note: The calculator may display extra information depending on whether the data is a sample or population.
Example: Monthly Salaries
Suppose you have the monthly salaries (in dollars) of 20 employees at a medium-sized company:
Monthly Salaries ($) |
|---|
4195, 2698, 2698, 2700, 2700, 2700, 2700, 2700, 2700, 2700, 2700, 2700, 2700, 2700, 2700, 2700, 3435, 3435, 3435, 3995 |
The calculator provides the following 5-number summary:
Minimum: 2698
Q1: 2700
Median: 2700
Q3: 3435
Maximum: 4195
Formulas and Interpretation
Quartiles: Divide the ordered data set into four equal parts. Q1 is the median of the lower half, Q3 is the median of the upper half.
Interquartile Range (IQR): Measures the spread of the middle 50% of the data.
Range: Measures the overall spread of the data.
Example Application: The 5-number summary is often used to construct boxplots, which visually display the distribution, center, and spread of the data, as well as potential outliers.