Math Problem Statement

Here is a sample data set.

225.5 260.1 273.7 288.1 288.5 288.7 308.1 332.7 369.2 378.6 383.1 386.3 405.3 405.3 405.3 407.9 408.4 415.5 425.7 427 434.8 450.2 459.5 459.7 460.5 475.3 475.8 475.8 476.5 487.4 489.1 490.7 515.2 526.7 528.2 529.7 532.1 538.7 539.1 543.6 543.6 543.6 550.2 550.5 568 575.5 582.8 587.6 588.4 591.6 626.2 641.8 651 654.2

Find the first quartile for this data set. Q1 =

Find the third quartile for this data set. Q3 =

Find the interquartile range for this data set. IQR =

Find the lower fence separating outliers from usual values. Fencelow =

Find the upper fence separating outliers from usual values. Fencehigh =

Solution

To solve for the quartiles, interquartile range, and fences, we need to follow a series of steps. Let's break it down:

1. Organize the Data in Ascending Order

First, the data must be sorted in ascending order:

225.5, 260.1, 273.7, 288.1, 288.5, 288.7, 308.1, 332.7, 369.2, 378.6, 383.1, 386.3, 405.3, 405.3, 405.3, 407.9, 408.4, 415.5, 425.7, 427, 434.8, 450.2, 459.5, 459.7, 460.5, 475.3, 475.8, 475.8, 476.5, 487.4, 489.1, 490.7, 515.2, 526.7, 528.2, 529.7, 532.1, 538.7, 539.1, 543.6, 543.6, 543.6, 550.2, 550.5, 568, 575.5, 582.8, 587.6, 588.4, 591.6, 626.2, 641.8, 651, 654.2.

2. Find the First Quartile (Q1)

The first quartile (Q1) is the median of the lower half of the data set (excluding the median if the number of data points is odd). The data set has 56 data points, so we split the data into two halves.

  • Lower half (first 28 values):
    225.5, 260.1, 273.7, 288.1, 288.5, 288.7, 308.1, 332.7, 369.2, 378.6, 383.1, 386.3, 405.3, 405.3, 405.3, 407.9, 408.4, 415.5, 425.7, 427, 434.8, 450.2, 459.5, 459.7, 460.5, 475.3, 475.8, 475.8, 476.5.

  • Median of the lower half (Q1) is the average of the 14th and 15th values, which are 405.3 and 405.3.
    Thus, Q1 = 405.3.

3. Find the Third Quartile (Q3)

The third quartile (Q3) is the median of the upper half of the data set. The upper half (last 28 values) is:

  • Upper half (last 28 values):
    475.3, 475.8, 475.8, 476.5, 487.4, 489.1, 490.7, 515.2, 526.7, 528.2, 529.7, 532.1, 538.7, 539.1, 543.6, 543.6, 543.6, 550.2, 550.5, 568, 575.5, 582.8, 587.6, 588.4, 591.6, 626.2, 641.8, 651, 654.2.

  • Median of the upper half (Q3) is the average of the 14th and 15th values, which are 543.6 and 543.6.
    Thus, Q3 = 543.6.

4. Find the Interquartile Range (IQR)

The interquartile range (IQR) is the difference between the third quartile and the first quartile: IQR=Q3Q1=543.6405.3=138.3IQR = Q3 - Q1 = 543.6 - 405.3 = 138.3

5. Find the Lower Fence (Fencelow)

The lower fence is given by: Fencelow=Q11.5×IQR=405.31.5×138.3=405.3207.45=197.85Fencelow = Q1 - 1.5 \times IQR = 405.3 - 1.5 \times 138.3 = 405.3 - 207.45 = 197.85

6. Find the Upper Fence (Fencehigh)

The upper fence is given by: Fencehigh=Q3+1.5×IQR=543.6+1.5×138.3=543.6+207.45=751.05Fencehigh = Q3 + 1.5 \times IQR = 543.6 + 1.5 \times 138.3 = 543.6 + 207.45 = 751.05

Summary:

  • First Quartile (Q1) = 405.3
  • Third Quartile (Q3) = 543.6
  • Interquartile Range (IQR) = 138.3
  • Lower Fence (Fencelow) = 197.85
  • Upper Fence (Fencehigh) = 751.05

Let me know if you'd like further clarification or help with another question!

Follow-up Questions:

  1. How do we interpret the lower and upper fences in terms of outliers?
  2. What does the interquartile range tell us about the data's spread?
  3. How would you calculate quartiles if the data had an odd number of values?
  4. How does the IQR method help identify outliers in a data set?
  5. What are some other ways to measure the spread of data besides the IQR?

Tip: Always ensure the data is sorted before calculating quartiles to avoid errors.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Statistics
Quartiles
Interquartile Range
Outliers

Formulas

Q1 = median of the lower half of the data
Q3 = median of the upper half of the data
IQR = Q3 - Q1
Fencelow = Q1 - 1.5 * IQR
Fencehigh = Q3 + 1.5 * IQR

Theorems

Quartile Calculation
Outlier Detection with IQR

Suitable Grade Level

Grades 10-12