Statistics
Activity 1 & 2
Embedded Files
Learning Intention:
Learning Intention:
You will learn about the differences between numerical and categorical data
Success Criteria:
Success Criteria:
You will be able to:
Identify the differences between categorical & numerical data
Identify and explain differences between ordinal, nominal, nominal and ordinal data
Understand random variables and generate using the GDC
Warm Up Activity:
Activity 1 below
Watch the video on generating random sampling on GDC
Key Vocabulary:
Numerical, Discrete, Continuous, Categorical, Nominal, Ordinal
New Knowledge:
New Knowledge:
Numerical Data: data that has been assigned a numeric value. Numerical data can be:
Discrete - data that can be counted but that can only have a particular value, for example the number of pieces of fruit in a bowl
Continuous - data that is not restricted to any particular value, for example the temperature outside, which is measured on a continuous scale.
Categorical Data: data is split into two or more categories. Categorical data can be:
Nominal - data that can be arranged into categories but not ordered, for example arranging shoes by colour or athletes by gender
Ordinal - data that can be arranged into categories that have an order, for example levels of education from high school to postgraduate degrees.
Application Tasks:
Application Tasks:
Warm up activity above
Create a list of examples for each data types (minimum 10 each)
How did you go?
How did you go?
Extension of Learning
Extension of Learning
List the types of data you can collect - use your laptop for assistance
Create a mindmap in your summary book highlighting the types of data and examples of these
Conduct a survey - it does not need to be from data you collect
Additional Resources
Additional Resources
Google Sites
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