lecture09

# lecture09 - • Mid-term 1 is available in the statistics...

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Unformatted text preview: • Mid-term 1 is available in the statistics workshop • Have one week to discuss marking problems • Read chapter 10 • Suggested problems: 10.3, 10.5, 10.11, 10.23, 10.25 • Statistics deals with tools for collecting and understanding data • Have discussed ways to collect data • How do we deal with the data we collect? • Begin by summarizing the data • Want to describe or summarize data in a clear and concise way • Will first focus on descriptive statistics (graphical and numeric) in chapters 10-14 • Interested in something about a population • Population is a collection of individuals • Describe individuals with data • Data sets contain information/facts relating to individuals • Variables are attributes of an individual (e.g., hair color, pain severity, ...) • Distribution of a variable gives the values the variable can take and how often it takes on each value • Two types of variables: – Categorical Variables : each individual falls into a category (ethnicity, machine works or does not, …) • A special type of categorical data is ordered categorical (ordinal) • Categories are ordered in a natural way • Can apply ideas of >, < (ordering) – Quantitative Variables take on numeric values for which addition and averaging make sense (height, weight, income,…). • Hair color: • Color preference (red=1, blue=2, green=3): • Length of time slept:...
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lecture09 - • Mid-term 1 is available in the statistics...

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