# OC345313

## University of Michigan - Ann Arbor

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U OF MMATH 424Roger NatarajanWinter

## MATH 424 Quiz: MATH 424 - Take Home Quiz Detailed Solutions

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17 Dec 2016
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U OF MMATH 424Roger NatarajanWinter

## MATH 424 Quiz: MATH 424 - HW #3 Detailed Solutions

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17 Dec 2016
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U OF MMATH 424Roger NatarajanWinter

## MATH 424 Quiz: MATH 424 - HW #4 Detailed Solutions

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17 Dec 2016
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U OF MMATH 424Roger NatarajanWinter

## MATH 424 Quiz: MATH 424 - HW #1 Detailed Solutions

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17 Dec 2016
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U OF MMATH 424Roger NatarajanWinter

## MATH 424 Quiz: MATH 424 - HW #2 Detailed Solutions

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17 Dec 2016
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U OF MMATH 424Roger NatarajanWinter

## MATH 424 Study Guide - Quiz Guide: Massachusetts Route 2

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17 Dec 2016
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U OF MMATH 424Roger NatarajanFall

## MATH 424 Lecture 6: Chapter 6

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17 Dec 2016
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U OF MEARTH 108Eric HetlandWinter

## EARTH 108 Study Guide - Final Guide: Wind Shear, Fujita Scale, Sea Surface Temperature

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17 Dec 2016
4
Exam review: important questions and answers for earthquakes. Illness: rich countries typically suffer the lowest ____ in a natural disaster: fatalitie
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 15: Null Hypothesis, Statistical Hypothesis Testing, Confidence Interval

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27 Nov 2016
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 13: Sampling Distribution, Standard Deviation, Unimodality

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27 Nov 2016
3
Lecture 13: population mean, distribution for a sample mean. Lecture 13: population mean and distribution for a sample mean. We go back to the scenario
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture 12: Lecture 12

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15 Nov 2016
2
Lecture 12: testing hypotheses about the difference in two population. Next we need to determine the test statistic and understand the conditions requi
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 11: Dependent And Independent Variables, Standardized Test

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15 Nov 2016
4
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Study Guide - Midterm Guide: Confidence Interval, Standard Deviation, Random Variable

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11 Nov 2016
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 9: Standard Deviation, Normal Distribution, Confidence Interval

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6 Nov 2016
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 7: Standard Deviation, Standard Normal Deviate, Random Variable

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6 Nov 2016
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 8: Statistical Hypothesis Testing, Standard Error, Statistical Parameter

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6 Nov 2016
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 6: Standard Deviation, Random Variable, Sample Space

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6 Nov 2016
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 5: Conditional Probability

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6 Nov 2016
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 10: Test Statistic, Null Hypothesis, Statistical Significance

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6 Nov 2016
3
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 4: Simple Random Sample, Confounding, Dependent And Independent Variables

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6 Nov 2016
5
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture 3: Lecture 3

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6 Nov 2016
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U OF MCLCIV 101Richard JankoFall

## CLCIV 101 Chapter Notes - Chapter 2: Odysseus, Richard Janko, Richmond Lattimore

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19 Oct 2016
11
How to document (cite) modern sources: documentation (citation) style: the various academic disciplines use different documentation styles. In the huma
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U OF MCLCIV 101Richard JankoFall

## CLCIV 101 Chapter 5: CLCIV+101+Rubric+for+essays

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19 Oct 2016
3
The paper clearly addresses the topic, takes a position, and displays a well-constructed, complex, and compelling argument. The argument nuanced, is we
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U OF MSTATS 500Paul GreenWinter

## STATS 500 Lecture 4: STATS 500 – Lecture 4

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19 Oct 2016
7
Linear regression -estimation: the normal linear model. Assume the linear model y is the n x 1 random response vector (observed) X is the fixed n x p m
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U OF MSTATS 500Paul GreenWinter

## STATS 500 Lecture 3: STATS 500 – Lecture 3

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19 Oct 2016
6
Math/stats review distributions: the normal distribution. X is a normal random variable with parameters and 2 if the pdf is (cid:1858)(cid:4666)|,(cid:
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U OF MSTATS 500Paul GreenWinter

## STATS 500 Lecture Notes - Lecture 2: Triceps Brachii Muscle, Glucose Tolerance Test, Exploratory Data Analysis

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19 Oct 2016
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Study Guide - Midterm Guide: Confidence Interval, Statistical Parameter, Histogram

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11 Oct 2016
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U OF MMUSICOL 121Gabriella CruzWinter

## MUSICOL 121 Lecture Notes - Lecture 10: Xylophone

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20 Jul 2016
9
I like the introduction when she said that practiced for years when growing up because i remember growing up practicing the piano. My mum had to persua
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U OF MMUSICOL 121Gabriella CruzWinter

## MUSICOL 121 Study Guide - Midterm Guide: Spiccato, Pizzicato, Glissando

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20 Jul 2016
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U OF MMUSICOL 121Gabriella CruzWinter

## MUSICOL 121 Study Guide - Midterm Guide: Disco Montego, Flowing Rivers, List Of Compositions By Johann Sebastian Bach

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20 Jul 2016
4
The concert i attended was a senior recital by emily ann zacek, a flautist, on february 1st, Her first piece was a partita in a minor for solo flute, b
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture Notes - Lecture 2: Ordinal Data, Interquartile Range, Unimodality

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20 Jul 2016
9
Simple summaries of data can tell an interesting story and are easier to digest than long lists. Raw data correspond to numbers and category labels tha
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Lecture 1: Lecture 1

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20 Jul 2016
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U OF MSTATS 250Brenda GundersonFall

## STATS 250 Study Guide - Final Guide: Type I And Type Ii Errors, Sample Size Determination, Confidence Interval

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20 Jul 2016
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Being a stats 250 tutor for close to 4 years, i compiled some final exam review notes. These are definitions and helpful formulas that students often g
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## MATH 573 Study Guide - Final Guide: Enterprise Risk Management, Parachuting, Punitive Damages

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12 Jul 2016
12
Activities or attempts to control the risk. Manage trm (pure risk) and erm (speculative risk) Goal minimize financial impact on organization (defensive
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## MATH 573 Study Guide - Final Guide: Self-Insurance

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12 Jul 2016
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Seek external sources from third parties to finance losses. Still have the asset or activity exposed to the loss. Transfer the financial responsibility
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## MATH 573 Study Guide - Final Guide: Moral Hazard, Insurance Fraud, Fire Hydrant

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12 Jul 2016
9
Regarding events which could produce a loss. Can be losses for firms and/or individuals (you) A loss which is certain has 100% chance - certain. Imposs
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## MATH 573 Study Guide - Final Guide: Insurable Interest, Life Insurance, Adverse Selection

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12 Jul 2016
12
Insurance is a device that pools exposures to loss of individuals into a group. Uses funds paid by members of the group to pay for losses as they occur
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## MATH 573 Study Guide - Final Guide: Crisis Management, Job Sharing, Multiple Exposure

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12 Jul 2016
9
Activities or attempts to control the risk. Less variable objective risk falls as result, decrease in coefficient in variation, less risky: avoidance.
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U OF MMATH 423Myungjun YuWinter

## MATH 423 Lecture Notes - Lecture 12: Mazda B Engine, Dj Umek, Muan County

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5 Jul 2016
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U OF MMATH 423Myungjun YuWinter

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5 Jul 2016
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