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Data and Decisions I
Simon Fraser University
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PROFESSORS

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Andrew Flostrand

spring

N. Payne

spring

Verified Documents for N. Payne

Class Notes

Taken by our most diligent verified note takers in class covering the entire semester.

BUEC 232 Lecture 1: W1

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BUEC 232 Lecture Notes - Lecture 1: Stuffed Toy, Koala, Statistical Inference

These are what you analyze when you use a statistical method: age, region, revenue, temperature, stuffed animal preference. The different values associ

446

BUEC 232 Lecture 2: W2

Measure centre: mean is sensitive to extreme values, ie. outliers, median is not easily affected by outliers, hence, if the data set is easily affected

2124

BUEC 232 Lecture Notes - Lecture 3: Dependent And Independent Variables, Standard Deviation, Scatter Plot

: then the answer is either 0 or. Unstandardizing the distribution: working backwards: start by the area end with finding z value. To transform z to x,

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BUEC 232 Lecture 4: W3

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BUEC 232 Lecture 5: W3

Simple random samples(srs: take sample size n from population in such way that each group size n is equally likely to be chosen, example: drawing names

262

BUEC 232 Lecture Notes - Lecture 6: Sample Space, Disjoint Sets

273

BUEC 232 Lecture Notes - Lecture 7: Conditional Probability, University Of Florida, Random Variable

The outcome of each die is in no way affected by the other, they are completely independent. Unions: two events a and b are given. The union of these t

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BUEC 232 Lecture Notes - Lecture 8: Random Variable, Normal Distribution

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BUEC 232 Lecture Notes - Lecture 9: Random Variable, Standard Deviation

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BUEC 232 Lecture Notes - Lecture 10: Binomial Theorem, Binomial Distribution, Statistic

The distribution of a sample statistic: sample mean: take random sample of students and compute average gpa in sample, sample count: ask 20 people whet

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