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General Mathematics Unit 3 Bivariate Data

Queensland General Maths revision for Unit 3 Topic : Investigating associations between 2 variables


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General Mathematics Unit 3 Bivariate Data


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[Front]


Define Bi-variate Data
[Back]


when there are data from two variables for the same subject

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Define Bi-variate Data
When there are data from two variables for the same subject
What are categorical variables?
Data values that are names or labels, such as sex (male, female) or coffee size (small, medium, large).
Describe numerical variables
Data values that are numbers, usually resulting from counting or measuring, such as number of brothers (0, 1, 2, …) or hand span (cm).
What are the names of the 2 types of numerical data. How are they different?
Continuous variables which represent a quantity that is measured rather than counted, for example the weights of people in kilograms, and discrete variables which represent a quantity that is determined by counting, for example, the number of people waiting in a queue.
What is association between variables?
The values of one variable relate in some way to the values of the other. Essentially, association means the values of one variable generally co-occur with certain values of the other.
What is the second step in investigating the association between 2 variables?
To determine which of the two variables is the explanatory variable and which is the response variable.
How is the explanatory variable determined?
Explanatory variable may explain any changes in the response variable
How is the response variable determined
A response variable is the variable that “responds” to changes you make in the explanatory variable
How do you know you have identified the explanatory variable
The explanatory variable (EV) is the variable we expect to explain or predict the value of the response variable (RV).