Unit 1: Introduction


Outline


1.1       Definition

 •   Statistics is the Science of Data.
•   Descriptive Statistics summarize and describe data.
•   Inferential Statistics enable us to make conclusions and decisions  about data.


1.2       Groups

•   A Population includes all members of a group.
•   A Sample is selected members that (hopefully) represent the Population.
•   A Parameter is a measurement of the Population, which
•   A Statistic is a measurement of the Sample.


1.3       Scales of Measurement

 •   Nominal: Categories
•   Ordinal: Categories with order
•   Interval: Numbers with equal distance between points
•   Ratio: Numbers with equal distance between points and a meaningful zero.


1.4       Frequency Distribution

• Use 7 to 15 rows, with consistent interval width.
• x is observations, f is frequency, cf is cumulative frequency, % is percentage, cum% is cumulative percentage.

• Sort scores or score intervals from high to low.
• Calculate cf from the bottom – up.

• % = f divided by total.
cum% = cf divided by total

• First row of cf should equal the total number of observations.
• First row of cum% should be exactly 100%.

• The lowest and highest score or score interval must have a frequency other than zero.
• All possible scores or score intervals between the lowest and highest must be reported.

(How to by DataScienceCentral)


1.5       Algebra Review

•   Order of Operation
•   Rounding Off


Resources

Lecture
Notes

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Work
Sheet

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Unit
Project

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Study
Guide