6.1 Comparing data & outliers

Good morning!
Schedule: 
  • Learning goals
  • Problem solving questions
  • Review exercise
  • Outliers
  • Do some research!
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Slide 1: Slide
WiskundeMiddelbare schoolvwoLeerjaar 3

This lesson contains 25 slides, with text slides.

Items in this lesson

Good morning!
Schedule: 
  • Learning goals
  • Problem solving questions
  • Review exercise
  • Outliers
  • Do some research!

Slide 1 - Slide

Learning goals
At the end of these this lesson I can:
  • Find the five point summary from a set of data 
  • Construct a boxplot from a set of data
  • Find outliers from a set of data

Slide 2 - Slide

Problem solving
What strategies did we find last time? 

Slide 3 - Slide

Problem solving
What strategies did we find last time? 

- Trial and Error
- Divide problem in smaller problems/steps
- Work backwards (start with the answer)

Slide 4 - Slide

Slide 5 - Slide

Slide 6 - Slide

31m=51m+31
155m=153m+31
152m=2
2m=30
m=15

Slide 7 - Slide

Problem solving
Problem solving strategies:
- Trial and Error
- Divide problem in smaller problems/steps
- Work backwards (start with the answer)
- Realize the problem (literally DO the problem)
- Organize your information differently 
- Use algebraic methods

Slide 8 - Slide

Review exercise

Key: 1 | 5 | 3 means a student from class 1 got a score of 51 and a student from class 2 got a score of 53
1. Calculate the median and range for class 1 and class 2. 
2. Calculate the IQR for class 1 an class 2 

Slide 9 - Slide

Review exercise

Key: 1 | 5 | 3 means a student from class 1 got a score of 51 and a student from class 2 got a score of 53
n = 28 
Middle values = 14th and 15th

Median =

Range =  

270+71=70.5
9545=50
Class 1

Slide 10 - Slide

Review exercise

Key: 1 | 5 | 3 means a student from class 1 got a score of 51 and a student from class 2 got a score of 53
n = 28 
Middle values = 14th and 15th

Median =

Range =  

265+66=65.5
9141=50
Class 2

Slide 11 - Slide

Review exercise

Key: 1 | 5 | 3 means a student from class 1 got a score of 51 and a student from class 2 got a score of 53
n = 28 
Q2 = median =  70.5
Q1 =
Q3 =
IQR = Q3 - Q1 = 82.5 - 62 = 20.5

Class 1
|
2(61+63)=62
2(82+83)=82.5

Slide 12 - Slide

Review exercise

Key: 1 | 5 | 3 means a student from class 1 got a score of 51 and a student from class 2 got a score of 53
n = 28 
Q2 = median =  65.5
Q1 =
Q3 =
IQR = Q3 - Q1 = 75 - 55 = 20

Class 2
|
2(55+55)=55
2(74+76)=75

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Outliers
You do not count outliers in the 5 point summary (as Min or Max) !!

Slide 14 - Slide

Outliers


 <    Q1 - IQR x 1.5      Q1       Q2       Q3      Q3 +  IQR x 1.5   >
Outliers
Outliers

Slide 15 - Slide

Outliers
17, 18, 20, 20, 21, 22, 23, 23, 24, 24, 24, 24, 25, 26, 26, 27, 27, 30, 46
                                      
                                            Q1 = 21,  Q2 = 24, Q3 = 26  

                                           IQR = Q3 - Q1 = 26 - 21 = 5
                               Calculate if there are any outliers

Slide 16 - Slide

Outliers
17, 18, 20, 20, 21, 22, 23, 23, 24, 24, 24, 24, 25, 26, 26, 27, 27, 30, 46
                                       Q1 = 21,  Q2 = 24, Q3 = 26     IQR = 5
Minimum = Q1 - 1.5 x IQR = 21 - 1.5 x 5 = 13.5
There are NO values smaller than 13.5

Maximum = Q3 + 1.5 x IQR = 26 + 1.5 x 5 = 33.5
There is one value larger than 33.5                            


                                   
                            
49 is an outlier

Slide 17 - Slide

Outliers
17, 18, 20, 20, 21, 22, 23, 23, 24, 24, 24, 24, 25, 26, 26, 27, 27, 30, 46
                                       Q1 = 21,  Q2 = 24, Q3 = 26     IQR = 5
Minimum = Q1 - 1.5 x IQR = 21 - 1.5 x 5 = 13.5
         


                                   
                            

Slide 18 - Slide

Outliers
17, 18, 20, 20, 21, 22, 23, 23, 24, 24, 24, 24, 25, 26, 26, 27, 27, 30, 46
                                       Q1 = 21,  Q2 = 24, Q3 = 26     IQR = 5
Minimum = Q1 - 1.5 x IQR = 21 - 1.5 x 5 = 13.5
There are NO values smaller than 13.5

        


                                   
                            

Slide 19 - Slide

Outliers
17, 18, 20, 20, 21, 22, 23, 23, 24, 24, 24, 24, 25, 26, 26, 27, 27, 30, 46
                                       Q1 = 21,  Q2 = 24, Q3 = 26     IQR = 5
Minimum = Q1 - 1.5 x IQR = 21 - 1.5 x 5 = 13.5
There are NO values smaller than 13.5

Maximum = Q3 + 1.5 x IQR = 26 + 1.5 x 5 = 33.5                 


                                   
                            

Slide 20 - Slide

Outliers
17, 18, 20, 20, 21, 22, 23, 23, 24, 24, 24, 24, 25, 26, 26, 27, 27, 30, 46
                                       Q1 = 21,  Q2 = 24, Q3 = 26     IQR = 5
Minimum = Q1 - 1.5 x IQR = 21 - 1.5 x 5 = 13.5
There are NO values smaller than 13.5

Maximum = Q3 + 1.5 x IQR = 26 + 1.5 x 5 = 33.5
There is one value larger than 33.5                            


                                   
                            
46 is an outlier

Slide 21 - Slide

Take out your diaries 


Homework for Monday 15-3-2021:
                              Practice 7 on p. 321-322



Slide 22 - Slide

Social media research 
Go to ManageBac and fill in the questionnaire. 
You can find average screen time per app (if you don't have this option or you can give a good estimate, please do that!) 
- Android: Settings > Digital Wellbeing and parental controls > Dashboard (click the Numbers next to Apps) > Click the app > Click weekly (go back one week to find your average screen time from last week) 

- Iphone: Settings > Screen Timer > Show all activity > Click app to find the average

Slide 23 - Slide

Slide 24 - Slide

Let's do some research!
1. Go to Manageback and find the data from your survey's. 
2. Choose one of the 3 categories to do your research on: 
  • Time spend on Physics homework 
  • Time spend on Math homework
  • Time spend on English homework
3. Draw up a back-to-back stem-and-leaf diagram of your chosen data dividing male and female data, and a boxplot for both male and female data. 
4. Calculate the five point summary and IQR for both male and female data.
5. Calculate whether there are any outliers in the data.

Slide 25 - Slide