# Textbook Notes for Alan Marshall

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## OMIS 2010 Chapter Notes - Chapter 16: Chi-Squared Distribution, Null Hypothesis, Test Statistic

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## OMIS 2010 Chapter Notes - Chapter 1: Pie Chart, Bar Chart, Level Of Measurement

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Deals with methods of organizing, summarizing, and presenting data in a convenient and graphical techniques for easy extraction of useful information (

View Document## Chapter 10 Textbook Study Guide

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This chapter introduced estimation, a form of statistical inference. Make certain that you understand the sampling distribution of the mean before proc

View Document## OMIS 2010 Chapter Notes - Chapter 11: Null Hypothesis, Type I And Type Ii Errors, Test Statistic

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This chapter introduced hypothesis testing, the central topic of a statistics course. Almost every chapter following this one uses the concepts, termin

View Document## OMIS 2010 Chapter Notes - Chapter 12: Interval Estimation, Statistical Inference, Confidence Interval

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In this chapter, we presented the statistical inference methods used when the problem objective is to describe a single population. Sections 12. 2 and

View Document## OMIS 2010 Chapter Notes - Chapter 14: Dependent And Independent Variables, Royal Institute Of Technology, Ssab

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This chapter helps compare two or more populations of interval data. Determines whether differences exist between populations means. Anova tests to det

View Document## OMIS 2010 Chapter Notes -Descriptive Statistics, Level Of Measurement, Frequency Distribution

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Descriptive statistics: deals with methods of organizing, summarizing and presenting data in convenient and informative way (ie. graphing techniques) U

View Document## OMIS 2010 Chapter Notes - Chapter 13: Test Statistic

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Inference about difference between two means: independent samples. To test and estimate difference between two population means, draw random samples fr

View Document## OMIS 2010 Chapter Notes - Chapter 1-4: Univariate, Skewness, Unimodality

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Make a table that lists each person, his number or letter: count the number of times that each combination occurs, see if there is a relationship conve

View Document## OMIS 2010 Chapter Notes -Sampling Distribution, Standard Error, Central Limit Theorem

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Is created by sampling draw sample of same size from a population or use rules of probability and laws of expected value and variance to derive samplin

View Document## OMIS 2010 Chapter Notes -Frequency Distribution

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The derivation of sturges" rule is not terribly complex, but not suitable for an introductory statistics course. 2 one statement of the rule is to choo

View Document## OMIS 2010 Chapter Notes - Chapter 15: Null Hypothesis, Standard Deviation, Contingency Table

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Applied to multinomial experiment; generalization of a binomial experiment. In multinomial experiment: there are two or more possible outcomes per tria

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