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Chapter 1
Introduction
and Data
Collection
Learning Objectives
The study of this chapter should enable you to:
- (^) define statistics and other related terms
- (^) describe the types of statistics
- (^) describe the types of data and their sources
- (^) understand the different levels of measurement
- (^) differentiate between census and sampling
- (^) describe the types of sampling and various
Types of Statistics
Descriptive Inferential (^) Collecting, presenting, and characterizing data (^) Drawing conclusions and/or making decisions concerning a population based only on sample data (^) Involve either estimation or hypothesis testing
Related Terms in
Statistics
- (^) POPULATION - All the items or individuals about which you want to draw a conclusion.
- (^) SAMPLE - The portion of a population selected for analysis.
- (^) PARAMETER - A numerical measure that describes a characteristic of a population.
- (^) STATISTIC - A numerical measure that describes a characteristic of a sample.
Types of Data/Variables
Data/Variab les Categorical (Qualitative)
- Defined categories Examples: Gender, marital status, races Numerical (Quantitative) Discrete
- counted items Examples: Numbers of accidents Continuous
- measured characteristics Examples: Weight, temperature
Levels of Measurement
Nomin al
- (^) Categorical data
- (^) distinct categories in which no ordering is implied Ordina l
- (^) Categorical data
- (^) Categories that can be ordered or ranked (eg: from highest to lowest rating) Interva l
- (^) Numerical data
- (^) Values are real numbers
- (^) Meaningful difference between values – zero is not a true zero Ratio
- (^) Numerical data
- (^) Meaningful 0 point
Getting started with
SPSS
In the end of this lessons, students should know:
- (^) How to start SPSS
- (^) The windows in SPSS
- (^) The SPSS main menus and the commands
- (^) How to prepare Data File
- (^) name variables
- (^) key-in data
- (^) How to save Data File