September 14 Lecture

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Lecture September 14, 2011
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Chapter 1 • Read chapter 1 on your own • You are responsible for the material in this chapter
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Basics of the Course The course is taught using Power Point slides (also in pdf format). These lecture notes MAY change as the term progresses (i.e. small changes to examples or fixing typos). I will try to note any changes in class and on the website.
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Data
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Notation Denote data by x 1 ,x 2 , x 3 , … x n where n is the number of data values we have, called the sample size . The collection of x 1 ,x 2 , x 3 , … x n is called a dataset whereas a particular value x i is called a datum , data value or observation .
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Example Description This data set gives the average heights and weights for American women aged 30–39. Obs height weight 1 58 115 2 59 117 3 60 120 4 61 123 5 62 126 Obs height weight 6 63 129 7 64 132 8 65 135 9 66 139 10 67 142 11 68 146 12 69 150 13 70 154 14 71 159 15 72 164
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Data Types Qualitative Quantitative NOTE: A quantitative variable can be made qualitative, and vice versa
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Sample Clicker Examples 1) Height 2) Grades Clicker Responses: A) Qualitative B) Categorical C) Quantitative D) Both A and B
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Quantitative Data Discrete Continuous
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September 14 Lecture - Lecture Chapter 1 Read chapter 1 on...

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