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# Sampling and Data: Summary

Summary: This module is a DRAFT.

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## Note:

This module is a DRAFT.

Definition 1: Statistics
Deals with the collection, analysis, interpretation, and presentation of data.

Definition 2: Probability
Mathematical tool used to study randomness

• Population
• Parameter
• Sample
• Statistic
• Variable
• Data

### Types of DataSampling Methods

Definition 3: Quantitative
A number
1. Discrete (You count it.)
2. Continuous (You measure it.)
Definition 4: Qualitative
A category (word(s))
Definition 5: Sampling with Replacement
A member of the population may be chosen more than once.
Definition 6: Sampling without Replacement
A member of the population may be chosen only once.
Definition 7: Random Sampling
Each member of the population has an equal chance of being selected
Definition 8: Random
1. Simple random sample
2. Stratified sample
3. Cluster sample
4. Systematic sample
Definition 9: Not random
1. Convenience sample

#### note:

Samples must be representative of the population from which they come. They must have the same characteristics. However, they may vary but still represent the same population
Definition 10: Frequency (freq. or f)
The number of times an answer occurs
Definition 11: Relative frequency (rel. freq. or RF)
The fraction of times an answer occurs. (It can be converted to a decimal or percent.)
Definition 12: Cumulative relative frequencies (cum. rel. freq. or cum. RF)
An accumulation of the previous relative frequencies

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