 |
|
|
|
|
|
|
|
| Random Sampling and Probability | |||||||
| For inferential statistics to be usable, those studied must have been selected through appropriate means. This method is called random sampling. Random sampling is defined as a sample selected from the population by a process that assures the (1) each possible sample of a given size has an equal chance of being selected and (2) all members of the population have an equal chance of being selected into the sample. Probability is a proportion that ranges from 0.00 to 1.00. If the probability is 1.00, the event will occur. If the probability is 0.00, the event will not occur. Anything in between is a range of probabilities that are possible. The study of probability would take an entire course to be adequately covered |
|||||||
| Return to main Stats Page | |||||||