Discrete, where the data can only take on certain values. Examples include number of customers and annual salary.
Continuous, where the data can take on any value (sometimes, as with height of people, within a finite range). Examples include height of people and temperature.
Complete the following sentences:
The three Ws of statistics are …
Variables are the building blocks for …
Once you have the cases of your sample, you are going to …
Samples are made up of …
You will collect data about the cases in …
The data for each individual case in the sample may differ …
One of the things that you need to look at when you examine the cases is …
Variables will enable you to distinguish between …
Variables can be classified using …
6. Ask 10 general questions to the text.
7. Answer the following questions:
What are the three Ws of statistics?
How important are variables to your analysis?
What are samples made of?
What do you need to look at while examining the cases in your sample?
What will enable you to distinguish the samples?
How can variables be classified?
What are categorical variables?
What are numerical variables?
How are variables classified according to a hierarchy of measurements?
How can data be classified according to the actual values?
8. Write out the definitions of variables from the texts:
Categorical –
Numerical –
Nominal –
Ordinal –
Interval –
Ratio –
Give examples of these variables.
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