Skip to main content
Ch. 2 - Descriptive Statistics
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470Non è quello che usi tu?Cambia libro di testo
Capitolo 2, Problema 2.5.16b

Drawing a Box-and-Whisker Plot In Exercises 15–18,
(b) draw a box-and-whisker plot that represents the data set.


171 176 182 150 178 180 173 170 174 178 181 180

Guida verificata passo dopo passo
1
Step 1: Organize the data set in ascending order. The given data set is: 150, 170, 171, 173, 174, 176, 178, 178, 180, 180, 181, 182.
Step 2: Identify the five-number summary of the data set. This includes the minimum value, first quartile (Q1), median (Q2), third quartile (Q3), and maximum value. Use the ordered data to calculate these values.
Step 3: Calculate the quartiles. For Q1 (lower quartile), find the median of the lower half of the data (excluding the overall median). For Q3 (upper quartile), find the median of the upper half of the data (excluding the overall median).
Step 4: Draw a number line that includes the range of the data. Mark the five-number summary (minimum, Q1, median, Q3, maximum) on the number line.
Step 5: Construct the box-and-whisker plot. Draw a box from Q1 to Q3 with a line at the median. Extend whiskers from the box to the minimum and maximum values.

Risposta video verificata per un problema simile:

Questa soluzione video è stata consigliata dai nostri tutor come utile per risolvere questo problema.
Durata del video:
4m

Concetti chiave

Ecco i concetti essenziali che devi comprendere per rispondere correttamente alla domanda.

Box-and-Whisker Plot

A box-and-whisker plot is a graphical representation of a data set that displays its minimum, first quartile, median, third quartile, and maximum. The 'box' shows the interquartile range (IQR), which contains the middle 50% of the data, while the 'whiskers' extend to the smallest and largest values within 1.5 times the IQR from the quartiles. This plot helps visualize the distribution, central tendency, and variability of the data.
Video consigliato:
Percorso guidato
07:38
Residuals and Residual Plots

Quartiles

Quartiles are values that divide a data set into four equal parts, each containing 25% of the data. The first quartile (Q1) is the median of the lower half of the data, the second quartile (Q2) is the overall median, and the third quartile (Q3) is the median of the upper half. Understanding quartiles is essential for constructing a box-and-whisker plot, as they determine the boundaries of the box and the placement of the median.
Video consigliato:
Percorso guidato
04:51
Find 5-Number Summary - TI-84 Calculator

Interquartile Range (IQR)

The interquartile range (IQR) is a measure of statistical dispersion that represents the range between the first quartile (Q1) and the third quartile (Q3). It is calculated as IQR = Q3 - Q1 and indicates the spread of the middle 50% of the data. The IQR is crucial for identifying outliers and is used to determine the length of the box in a box-and-whisker plot, providing insight into the variability of the data set.
Video consigliato:
Percorso guidato
05:45
Find 5-Number Summary - TI-84 Calculator Example 1
Pratica correlata