Statistical Data Analysis

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  • Topic: Statistics, Scientific method, Measurement
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  • Published : January 13, 2011
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SMS 4651: Statistical Data Analysis
1. Introduction
What Is statistics?
Statistics is a science dealing with the collection, analysis, interpretation and presentation of numerical data.
Descriptive versus Inferential Statistics
Population is a collection of persons, objects or items of interest. Census is a process of gathering data from the whole population for a given measurement of interest.
Sample is a portion of the whole population.
Descriptive statistics is statistics that have been gathered on a group to describe or reach conclusions about the same group.
Inferential statistics is statistics that have been gathered from a sample and used to reach conclusions about the population from which the sample was taken. Parameter is a descriptive measure of the population.

Statistic is a descriptive measure of a sample.
Types of Data
Nominal data variable is a qualitative data type used only to classify or categorize. Ordinal data variable is a qualitative data type used to classify or categorize but the classifications are arranged according to certain order or rank.

Discrete data variable is a numerical data type used in counting object. Continuous data variable is a numerical data type used in measuring scalar of object. Using SPSS
Retrieve data file from http://lib.stat.cmu.edu/DASL/Datafiles/Hotdogs.html and try to key in the data in SPSS. How fast can you do it?
Extra Reading
Read Chapter 1 ‐ 2 from Mlong.pdf and also Chapter 1 from Gerber.pdf. SPSS Exercises
Refer to Exercises for Chapter 1 in Gerber.pdf
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