# Study Guides for BUEC 232 at Simon Fraser University (SFU)

• 25 Result

SFUBUEC 232N. Payne Spring

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

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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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SFUBUEC 232N. Payne Spring

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

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SFUBUEC 232N. Payne Spring

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

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SFUBUEC 232N. Payne Spring

## BUEC 232 Lecture 2: W2

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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
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SFUBUEC 232N. Payne Spring

## BUEC 232 Lecture 4: W3

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SFUBUEC 232N. Payne Spring

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

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: 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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SFUBUEC 232N. Payne Spring

## BUEC 232 Lecture 1: W1

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SFUBUEC 232N. Payne Spring

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

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SFUBUEC 232N. Payne Spring

## BUEC 232 Lecture 5: W3

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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
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SFUBUEC 232N. Payne Spring

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

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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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SFUBUEC 232allWinter

## BUEC 232 Study Guide - Final Guide: Statistical Significance, Convenience Sampling, Almost Surely

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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 6: Probability Plot, Probability Distribution, Mathematical Constant

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Lecture 6 the normal distribution & other continuous. These can potentially take on any degree of precision, depending only on the ability to measure a
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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 1: Statistical Hypothesis Testing

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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 10: Total Variation, Confidence Interval, Null Hypothesis

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Tests means of 2 related populations: paired or matched samples, repeated measures (before/after, use difference between paired values: Requirements: b
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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 11: Covariance, Null Hypothesis, Statistics

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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 9: Data Dredging, Data Cleansing, Standard Deviation

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Sample tests lecture 9 fundamentals of hypothesis testing: one- A hypothesis is a claim (assertion) about a population parameter. Example: the mean mon
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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 7: Standard Deviation, Central Limit Theorem, Xu

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A sampling process begins with a sampling frame: Definition: the sampling frame is a listing of items that make up the population from which the sample
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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 2: Rho, Kurtosis, Data Analysis

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Central tendency is the extent to which all the data values group around a typical or central value. Variation is the amount of dispersion or scatterin
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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 4: Warren Buffett, Conditional Probability, Thomas Bayes

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Applies to a wide range of every day applications including: games of chance (gambling, google searches, voice recognition, quantum mechanics, venture
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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 5: Random Variable, Probability Distribution, Poisson Distribution

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Random variable represents a possible numerical value from an uncertain event. Discrete random variables produce outcomes that come from a counting pro
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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 8: Non-Sampling Error, Grape, Confidence Interval

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Point and interval estimates: a point estimate is a single number, a confidence interval provides additional information about variability. Where: poin
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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 3: Histogram, Ogive, Bar Chart

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Summary table is used to summarize variable categorical data. Contingency table helps organize two or more categorical variables: used to study pattern
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SFUBUEC 232allWinter

## BUEC 232 Lecture Notes - Lecture 12: Observational Error, Probability Plot, Box Plot

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A scatter diagram can be used to show the relationship between two variables. Correlation analysis is used to measure the relative strength of a linear
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SFUBUEC 232Andrew FlostrandSpring

## BUEC 232- Midterm Exam Guide - Comprehensive Notes for the exam ( 25 pages long!)

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Insurance industry: gaming industry, government, manufacturing/aerospace industries, randomness = individual outcomes are uncertain, but there is a reg
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SFUBUEC 232Andrew FlostrandFall

## [BUEC 232] - Midterm Exam Guide - Comprehensive Notes for the exam (18 pages long!)

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Buec 232 study for the final exam (dec. 9, 2016): Chapter 5 discrete probability distributions: binomial probability distribution: applies to sampling
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SFUBUEC 232Andrew FlostrandFall

## BUEC 232 Study Guide - Midterm Guide: Average Absolute Deviation, Central Tendency, Interquartile Range

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If there"s more than one mode, it"s bimodal, and if there"s multiple, then it"s multimodal. Guideline that is used to state the approximate percentage
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SFUBUEC 232Andrew FlostrandFall

## BUEC 232 Study Guide - Midterm Guide: Regional Policy Of The European Union, Office Of Gas And Electricity Markets, Variance

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Learning objective one: define stats and list example applications of it. Learning objective two: define important stat terms, and how they. Relate to
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SFUBUEC 232Andrew FlostrandFall

## BUEC 232 Study Guide - Midterm Guide: Regional Policy Of The European Union, Minimax, Ogive

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Learning objective one: explain the different between group and. Contstruct a frequency distribution from a set of. Learning objective two: describe an
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SFUBUEC 232Andrew FlostrandSpring

## BUEC 232 Study Guide - Midterm Guide: 2Degrees, United States Treasury Security, Six Sigma

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Lo1/lo2: wide variety of uses & applications of stats in business, statistics = a science dealing w/the collection, analysis, interpretation, presentat
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SFUBUEC 232Andrew FlostrandSpring

## BUEC 232 Study Guide - Midterm Guide: Ostrich, Weighted Arithmetic Mean, Cognitive Bias

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Insurance industry: gaming industry, government, manufacturing/aerospace industries, randomness = individual outcomes are uncertain, but there is a reg
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SFUBUEC 232Andrew FlostrandSpring

## BUEC 232 Study Guide - Midterm Guide: Data Analysis

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SFUBUEC 232Andrew FlostrandSpring

## BUEC 232 Study Guide - Midterm Guide: Squared Deviations From The Mean, Skewness, Normal Distribution

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SFUBUEC 232Tara ImmellFall

## BUEC 232 Study Guide - Midterm Guide: Bes, Cif, University Of Petroleum And Energy Studies

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SFUBUEC 232George ZhangSpring

## BUEC 232 Quiz: 4.pdf

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SFUBUEC 232George ZhangSpring

## BUEC 232 Quiz: 2.pdf

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