# Textbook Notes for Fassil Nebebe

CONCORDIACOMM 217Fassil NebebeWinter

## COMM 217 Chapter 9: CHAPTER 9 - INTRODUCTION TO HYPOTHESIS TESTING.docx

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25 Feb 2015
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It is an application of statistical inference: provides managers with a structured analytical method for making decisions about population means, propo
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CONCORDIACOMM 217Fassil NebebeWinter

## COMM 217 Chapter 6: CHAPTER 6 - INTRODUCTION TO CONTINUOUS PROBABILITY DISTRIBUTIONS.docx

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25 Feb 2015
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Is a bell-shaped distribution with the following properties: It is unimodal; that is, the normal distribution peaks at a single value. In more formal t
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CONCORDIACOMM 217Fassil NebebeWinter

## COMM 217 Chapter 7: CHAPTER 7 - INTRODUCTION TO SAMPLING DISTRIBUTION.docx

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25 Feb 2015
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7. 1 sampling error: what it is and why it happens. The sample may not be a perfect representation of the population. As long as the population does no
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CONCORDIACOMM 217Fassil NebebeWinter

## COMM 217 Chapter 3: CHAPTER 3 DESCRIBING DATA USING NUMERICAL MEASURES.docx

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25 Feb 2015
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Parameter: a measure computed from the entire population, as long as the population does not change, the value of the parameter will not change. Statis
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CONCORDIACOMM 217Fassil NebebeWinter

## COMM 217 Chapter 2: CHAPTER 2 - Graphs, Charts & Tables.docx

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25 Feb 2015
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Chapter 2: graphs, charts, & tables describing your. A summary of a set of data that displays the number of observations in each of the distribution"s
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CONCORDIACOMM 217Fassil NebebeWinter

## COMM 217 Chapter 4: CHAPTER 4 - INTRODUCTION TO PROBABILITY.docx

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25 Feb 2015
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Learning objectives: understand the three approaches to assessing probabilities, be able to apply the addition rule, know how to use the multiplication
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CONCORDIACOMM 217Fassil NebebeWinter

## COMM 217 Chapter 5: CHAPTER 5 - DISCRETE PROBABILITY DISTRIBUTIONS.docx

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25 Feb 2015
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Learning objectives: be able to calculate and interpret the expected value of a discrete random variable, be able to apply the binominal distribution t
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CONCORDIACOMM 217Fassil NebebeWinter

## COMM 217 Chapter 1: CHAPTER 1 THE WHERE WHY AND HOW OF DATA COLLECTION.docx

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25 Feb 2015
0
Chapter 1: the where, why, and how of data collection. Learning objectives: know the key data collection methods, know the difference between a populat
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