Firstly, to do statistics you must remember that you are lonely and life really sucks. You probably smell like feet.
For a good sample you will need (get your pen and paper ready!):
- gay beastiality (where you do it with a creature of the same sex as you!)
- numbers: for example; in an orgy you want a lot of people (usually above 10), anything below makes your sample look weak.
- Taste: make sure when you eat it you feel good. Food should be like art.
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If measurements are taken for two (or more) variable for a sample , then the correlation between the variables are the sample correlation. If the sample is representative then the sample correlation will be a good estimate of the true population correlation.
differences between quantitative and qualitative data
1. the sample should be representative thus carefully selected. 2. the sample should be adequate thus significant enough.
With random sampling, you are hoping to get a representative sample of a whole, however statistically you could get a sample that is very different from the whole it was selected from. The larger the sample proportion of the whole, the better your sample will be. For example, a sample of 10 out of 100 is not as good as 20 out of 100. The bigger the sample the closer to the actual whole average you will get.
Random error and sample size have an inverse relationship...As sample size INCREASES random error DECREASES. There's a good explanation at the related link.