# 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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