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
Kognity sections 4.1.0, 4.1.1, 4.1.2
Create a list of examples for each data types (minimum 10 each) - entry level differentiation
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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