Summary: Stats Data And Models | 9781292022451 | Richard D De Veaux
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Read the summary and the most important questions on Stats Data and Models | 9781292022451 | Richard D. De Veaux
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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.
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2 Data
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2.2 Data Tables
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Why do we make data tables?
To organize the values and make the context of the data clear.
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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.
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What are experimental units?
Animals, websites or other inanimate subjects on which we experiment.
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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.
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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.
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2.6 Identifying identifiers
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What are identifier variables?
It assigns a variable as a unique identity.
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What can you do with identifier variables?
-Combine data from different source
-protect confidentiality
-provide unique labels.
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2.8 What can go wrong
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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.
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3 Displaying and describing categorial data
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3.1 The three rules of data analysis
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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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Topics related to Summary: Stats Data And Models
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Displaying and describing categorial data - Pie charts
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Displaying and describing categorial data - Contingency tables : Children and First-class ticket holders first?
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Displaying and summarizing Quantitative Data - Histograms
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Displaying and summarizing Quantitative Data - Stem-and-leaf-displays
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Sample distribution models - The central limit theorem for sample proportions
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Testing hypotheses about proportions
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Inference about means - Getting started