Teacher resources and professional development across the curriculum

Teacher professional development and classroom resources across the curriculum

Monthly Update sign up
Mailing List signup
Follow The Annenberg Learner on LinkedIn Follow The Annenberg Learner on Facebook Follow Annenberg Learner on Twitter
Learning Math Home
Data Session 4: Solutions
Session 4 Part A Part B Part C Part D Part E Homework
Data Site Map
Session 4 Materials:



Solutions for Session 4, Part D

See solutions for Problems: D1 | D2 | D3

Problem D1

Since the median and quartiles require separating the data into halves that are larger or smaller than a central value, it is necessary to order the data. If the data are unordered, it is much more difficult to find the value that splits the list into two equal groups.

<< back to Problem D1


Problem D2

To create a box plot, first create a Five-Number Summary for each data set:

a. For Brand A, here is the Five-Number Summary:
Min = 23
Q1 = 27
Med = 29.5
Q3 = 32
Max = 39

Here is the box plot:

Brand A box plot

b. For Brand B, here is the Five-Number Summary:
Min = 17
Q1 = 25
Med = 26
Q3 = 29
Max = 30

Here is the box plot:

Brand A box plot

<< back to Problem D2


Problem D3

Placing the box plots side by side clearly shows that a large number of Brand A boxes have more raisins than Brand B boxes. The interquartile range is a little wider for Brand A, and the top 25% of Brand A boxes are all higher than Brand B's maximum. This suggests strongly that Brand A, on average, has more raisins in a typical box than Brand B.

<< back to Problem D3


Learning Math Home | Data Home | Register | Glossary | Map | ©

Session 4 | Notes | Solutions | Video

© Annenberg Foundation 2015. All rights reserved. Legal Policy