Sampling and Data: Summary
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m16023
Sampling and Data: Summary
1.10
2008/04/09 14:07:51 GMT-5
2012/05/07 07:19:14.307 GMT-5
Barbara
Illowsky
Barbara Illowsky, Ph.D.
illowskybarbara@deanza.edu
Maxfield Foundation
Maxfield Foundation
cnx@cnx.org
Susan
Dean
Susan Dean
deansusan@deanza.edu
Connexions
Connexions
cnx@cnx.org
sdean billowsky
sdean billowsky cnxorg
MaxfieldFoundation
cluster
continuous
convenience
cumulative
data
discrete
frequency
parameter
population
probability
qualitative
quantitative
random
relative
replacement
sample
sampling
simple
statistic
statistics
stratified
systematic
variable
Mathematics and Statistics
This module provides an outline/review of key concepts related to statistical sampling and data.
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Statistics- Deals with the collection, analysis, interpretation, and presentation of data

Probability- Mathematical tool used to study randomness

Key Terms- Population
- Parameter
- Sample
- Statistic
- Variable
- Data

Types of Data- Quantitative Data (a number)
- Discrete (You count it.)
- Continuous (You measure it.)

- Qualitative Data (a category, words)

Sampling- With Replacement: A member of the population may be chosen more than once
- Without Replacement: A member of the population may be chosen only once

Random Sampling- Each member of the population has an equal chance of being selected

Sampling Methods- Random
- Simple random sample
- Stratified sample
- Cluster sample
- Systematic sample

- Not Random
- Convenience sample

Frequency (freq. or f)- The number of times an answer occurs

Relative Frequency (rel. freq. or RF)
- The proportion of times an answer occurs
- Can be interpreted as a fraction, decimal, or percent

Cumulative Relative Frequencies (cum. rel. freq. or cum RF)
- An accumulation of the previous relative frequencies