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# Section1.1posted - ST OR 155.2 Spr ing 2010 Course Topics...

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STOR 155.2 Spring 2010

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Course Topics Chapter 1: Data, variables Chapter 2: Relationships between two variables Chapter 3: Producing data Chapters 4 and 5: Probability, random samples Chapters 6, 7, and 8: Statistical inference
Topics in Chapter 1 Introduction, pp. 1-5: Datasets Individuals (cases), variables, distributions Section 1.1, pp. 6-30: Displaying distributions Bar graphs, pie charts, histograms, stemplots Section 1.2, pp. 30-53: Numerical descriptors of distributions Mean, median, standard deviation, quartiles, outliers Section 1.3, pp. 53-78: Density

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Introduction, pp. 1 – 5 Example of a dataset (a sample from a class) Studen t Year Schoo l M idt m1 m2 H wk Final Smith 1 A&S 78 85 88 86 Johnso n 3 Busi 82 90 65 72 Hardy 1 A&S 65 88 98 82 Klein Grad PubHlt h 85 89 93 74 Parry 2 Jour 77 98 76 57 Watkin s 4 A&S 45 76 56 81 Allen 3 Busi 87 82 90 88 Abbas 2 Busi 97 84 88 91 dataset consists of a number of individuals ( cases ) and the alues of one or more variables for each individual. Here the individuals are: and the variables are:
A variable can be categorical or quantitative . Stude nt Year School Midtm 1 2 H wk Final Smith 1 A&S 78 85 88 86 Johnso n 3 Busi 82 90 65 72 Hardy 1 A&S 65 88 98 82 Klein Grad PubHlt h 85 89 93 74 Parry 2 Jour 77 98 76 57 Watkin s 4 A&S 45 76 56 81 Allen 3 Busi 87 82 90 88 Abbas 2 Busi 97 84 88 91 Categorical variables: Quantitative variables:

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How a dataset is presented Datasets are often shown with A row for each individual A column for each variable Studen t Year School Midtm 1 M idtm 2 H wk Final Smith 1 A&S 78 85 88 86 Johnso n 3 Busi 82 90 65 72 Hardy 1 A&S 65 88 98 82 Klein Grad PubHlt h 85 89 93 74 But you don’t always see them that way.
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Section1.1posted - ST OR 155.2 Spr ing 2010 Course Topics...

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