Summary Stats Data And Models

ISBN-10 1292022450 ISBN-13 9781292022451
126 Flashcards & Notes
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• 1 Stats starts here

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• What is one of the interesting chalanges of Statistics?

Here can be more than one right answer.

• 2.2 Data Tables

• Why do we make data tables?

To organize the values and make the context of the data clear.

• 2.3 who

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• What do rows of a data table correspond with?

Individual cases about Whom (or which- if they're not people) we record some characteristics.

• What are experimental units?

Animals,  websites or other inanimate subjects on which we experiment.

• 2.4 What and why

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• What is a quantitative variable?

A measured variable with units answers questions about the quantity of what is measured.

• What should you do when it isn't clear if a variable is categorial or quantitive?

Think about Why you are looking at it and what you want it to tell you.

• 2.6 Identifying identifiers

• What are identifier variables?

It assigns a variable as a unique identity.

• What can you do with identifier variables?

-Combine data from different source

-protect confidentiality

-provide unique labels.

• 2.8 What can go wrong

• What can go wrong in reading data?

-You can label a variable as categorial or quantitative without thinking about the question you want it to answer.

-When variable's values are numbers, don't assume it's quantitative. They don't have to be.

-not being skeptical about discovering the truth with the data you're interpretating.

• 3.1 The three rules of data analysis

• Why do you have to make pictures of the data?

-A display of your data will reveal things you are nog likely to see in a table of numbers and will help you to think clearly about the patterns and relationships that may be hiding in your data.

-It will show the important features and patterns. It shows you things you did not ecpect to see:  the extraordinary (possibly wrong) data values or unexpecterd patterns.

-the best way to tellothers about your data.

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