Univariate Data
Upcoming SlideShare
Loading in...5
×
 

Like this? Share it with your network

Share

Univariate Data

on

  • 4,154 views

 

Statistics

Views

Total Views
4,154
Views on SlideShare
4,153
Embed Views
1

Actions

Likes
0
Downloads
18
Comments
0

1 Embed 1

http://www.slideshare.net 1

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Univariate Data Presentation Transcript

  • 1. Univariate Data
    • Objectives
    • What are categorical and numerical data?
    • What is a bar chart and when is it used?
    • What is a histogram and when is it used?
    • What is a stem-and-leaf plot and when is it used?
    • What are the mean, median, range, interquartile range, variance and standard deviation?
    • What are the properties of these summary statistics and when is each used?
    • How do we construct and interpret boxplots?
  • 2. Types of Data
    • What question might have generated this data?
    • Red, Black, Blue, Red, Grey, Pink, Blue, Green
    • 4, 1, 0, 2, 2, 1, 5, 0
    • Yes, Yes, No, Maybe, Yes, Maybe
    • 56, 60, 49, 50, 53, 63
    • 12.4, 13.1, 10.6, 15.0, 11.9
  • 3. Types of Data
    • We can classify data as being either:
    • Numerical
    • Categorical
  • 4. Types of Data
    • We can classify data as being either:
    • Numerical
      • Discrete – can be counted, e.g. number of pets
      • Continuous – can be measured, e.g. height, time etc.
    • Categorical
  • 5. Your task
    • In pairs or groups of 3, you will create a podcast to explain types of data.
    • You will need to take photos using your phone and upload them to your computer. Use as many examples as you can find around the school site.
    • Use iMovie to create your podcast.
    • Once finished, transfer your podcast to your teacher’s computer via USB stick.
    • Your podcast must be finished by the end of next lesson.
  • 6. Frequency tables
    • Can be used to organise data.
    • Some people were asked ‘How many siblings do you have?’
    • The results were 3,2,3,4,1,2,0,1,1,1,4,0,2
    • This can be better displayed as:
    Number of siblings Frequency 0 1 2 3 4
  • 7. Frequency tables
    • Can be used to organise data.
    • Some people were asked ‘How many siblings do you have?’
    • The results were 3,2,3,4,1,2,0,1,1,1,4,0,2
    • This can be better displayed as:
    Number of siblings Frequency 0 2 1 4 2 3 3 2 4 2
  • 8. Frequency tables
    • Some people were asked ‘What did you have for breakfast?’
    • The results were ‘cereal, toast, nothing, cereal, bacon and eggs, toast, nothing, nothing, toast’
    • This can be better displayed as:
    Breakfast Frequency cereal toast nothing bacon and eggs
  • 9. Frequency tables
    • Some people were asked ‘What did you have for breakfast?’
    • The results were ‘cereal, toast, nothing, cereal, bacon and eggs, toast, nothing, nothing, toast’
    • This can be better displayed as:
    Breakfast Frequency cereal 2 toast 3 nothing 3 bacon and eggs 1
  • 10. Frequency tables
    • Some people were asked ‘How old are you?’
    • The results were ’11, 31, 57, 48, 17, 18, 50, 36’
    • This can be better displayed as:
    Age Frequency 11 1 12 0 13 0 14 0 15 0 16 0 17 1 18 1 19 0 20 0 21 0
  • 11. Frequency tables
    • Some people were asked ‘How old are you?’
    • The results were ’11, 31, 57, 48, 17, 18, 50, 36’
    • This can be better displayed as:
    Age Frequency 10-19 20-29 30-39 40-49 50-59
  • 12. Frequency tables
    • Some people were asked ‘How old are you?’
    • The results were ’11, 31, 57, 48, 17, 18, 50, 36’
    • This can be better displayed as:
    Age Frequency 10-19 3 20-29 0 30-39 2 40-49 1 50-59 2
  • 13. Frequency tables
    • This is called a grouped frequency table.
    • We group our age ranges to suit our data.
    • These groups are called class intervals .
    Age Frequency 10-19 3 20-29 0 30-39 2 40-49 1 50-59 2
  • 14. Frequency tables
    • What if people were asked to give their date of birth to the nearest day? E.g. 19 years and 163 days
    • For continuous data, we need to be specific.
    Age Frequency 10-19 3 20-29 0 30-39 2 40-49 1 50-59 2
  • 15. Frequency tables
    • What if people were asked to give their date of birth to the nearest day? E.g. 19 years and 163 days
    • For continuous data, we need to be specific.
    Age Frequency 10<20 3 20<30 0 30<40 2 40<50 1 50<60 2
  • 16. Frequency tables Click on the link below to access the current rainfall data for this month in Melbourne. http://www.melbournewater.com.au/content/water_storages/water_report/rainfall_data.asp?bhcp=1 Copy just the rainfall data in the second column and paste it into Excel. Sort the data into order. Choose appropriate class intervals and create a Grouped Frequency Table in Excel. Give your table a title which explains what the table shows. Save your file in your Maths folder. Rainfall (mm) Frequency
  • 17. Frequency tables