Statistics is a problem-solving process that seeks answers to questions through data. In this session, we begin to explore the problem-solving process of statistics and to investigate how data vary. This process typically has four components:
Note 1

Part A:	A Problem-Solving Process
Part B:	Data Measurement and Variation
Part C:	Bias in Measurement
Part D:	Bias in Sampling
Homework

In this session, you will learn the following:

Statistics is a problem-solving process with four components.

Data consist of measurements of a particular variable.

There are two types of variables -- quantitative and qualitative.

There are many sources of variation in data, including random error and bias.

Throughout the session you will be prompted to view short video segments. In addition to these excerpts, you may choose to watch the full-length video of this session.

New in This Session:

bias
census
data
population
qualitative data
qualitative variables
quantitative data

quantitative variables
random error
random sample
representative sample
sample
variable
variation

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