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What is "inferential statistics?"
- Using findings from a sample to make a generalize to the greater population
- Usually includes an expression of the confidence in data (+/- 3%)
What are parameters?
The characteristics of a population.
What are statistics?
- The characteristics of a sample. Descriptive.
- Inferential when applied to a population.
Define "variable" and give an example.
- Something that can take on more than one variable.
- Example: Temperature, age, weight, etc.
Something that can only have one variable.
Define the terms independent and dependent variable.
The independent variable in an experiment is the variable that YOU change in order to affect the dependent variable. The dependent variable is what is being measured, or what is being affected.
For example, If you are testing how the amount of time you leave a sponge in a bowl of water affects the amount of water absorbed, then the amount of time you leave the sponge in is the independent variable, and the amount of water absorbed is the dependent variable. An easy way to remember it is that the dependent variable all DEPENDS on the independent variable (CHANGE)
What do statisticians do with independent and dependent variables?
Assess the relationship between them. Are changes in the independent variables associated with changes in the dependent variable?
What are the 4 kinds of data?
Why do you need to know which kind of data your using?
Determines which analytical tool you'll use
Define nominal data.
A number that has no numeric meaning. It is just a name such as a a number on a jersey.
Define ordinal data.
The order of the data is meaningful, but doesn't describe the intervals or differences between the intervals.
What is interval data?
Equal distances beween numbers. E.g. Fahrenheit, however doesn't include a true zero point (absense of thing you're measuring). This means that100 degrees is not twice as hot as 50 degrees.
What is ratio data?
Interval Data that includes menaingful zero point which is what Kelvin provides. Or a ruler.
What would you like to do?
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