Read the summary and the most important questions on Stats Data and Models | 9781292022451 | Richard D. De Veaux

• 1 Stats starts here

  This is a preview. There are 4 more flashcards available for chapter 1
  Show more cards here

• What is one of the interesting chalanges of Statistics?  

  Here can be more than one right answer. 

• 2 Data

• 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

  This is a preview. There are 7 more flashcards available for chapter 2.3
  Show more cards here

• 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

  This is a preview. There are 4 more flashcards available for chapter 2.4
  Show more cards here

• 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 Displaying and describing categorial data

• 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.