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Class Notes for Statistics at Elon University

STS 110 Lecture Notes - Lecture 22: Null Hypothesis, Statistical Hypothesis Testing, Alternative Hypothesis
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STS 110 Hypothesis Testing Understand: 1) Denition and examples of hypothesis testing 2) Null and alternative hypothesis 3) Independent v.s. dependent samples 1 Hypothesis testing Denition: Two conicting statements are mad...

Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture Notes - Lecture 20: Confidence Interval, Sample Size Determination
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Confidence intervals 1- Understand a confidence interval 2- Understand a confidence level 3- Be able to construct a confidence interval on stat crunch 4- Interpreting a confidence interval 1.) Underst...

Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture Notes - Lecture 19: Sample Size Determination
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STS 110 Condence Intervals 1 Understand a condence interval 2 Understand a condence level 3 Be able to construct a condence interval on stat crunch 4 Interpreting a condence interval 1 Understand a condence interval Recal...

Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture Notes - Lecture 8: Normal Distribution, Standard Deviation
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STS 110 5.1, 5.2 5.1 What is Normal? 1 Understand the basics of a normal curve 2 Understand area 1 Normal Bellshaped = Normal = normally distributed = normal curve = approximately normal Symmetric One mode Most of the ...

Statistics
STS 110
Lisa Rosenberg
Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture Notes - Lecture 7: Catskill High Peaks, Skewness, Standard Deviation
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STATS 110 4.2 Shapes of Distributions Within a graph, Understand modes Understand symmetry Understand skewness Understand variation 1 Modes Peaks in a graph All peaks are considered modes even if they have dierent h...

Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture 5: Stats 2:13:18
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STATS 110 3.1 Frequency Tables 1- Understand frequency and relative frequency tables > Two columns - Category - Frequency (count) or relative frequency (relative frequency) 3.2 Distributions of Data 1- ...

Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture Notes - Lecture 4: Approximation Error, Observational Error
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STS 110 2.2 Dealing with errors in measurement 1- review measurement 2- types of errors in measurement 3- quantifying errors 1- Measurement - EX: distance in meters, weight in pounds, volume in liters, temperature - Meas...

Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture Notes - Lecture 3: Confounding, Shoe Size
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STS 110 2/6/18 Class Notes 1.3 Types of statistical studies Understand: - observational study - experiments - placebo - placebo eect - blinding - experimenter eect - confounding variables - meta analysis Obser...

Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture Notes - Lecture 2: Simple Random Sample, Convenience Sampling, Systematic Sampling
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Stats 110 2/1/31 1.2 Types of sampling Objectives: 1- Understand census, representative sample, and bias 2- Understand dierent types of sampling Census: a survey of the entire population - If you survey the entire popu...

Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture 1: Stats Lecture 1
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Stats 110 1/30/18 1.1 What is statistics? Objectives: - Understand the process of statistics - Understand basic denitions related to the process of statistics 1- Process of Statistics 1: Ask a clear question 2: Deter...

Statistics
STS 110
Lisa Rosenberg
STS 110 Lecture Notes - Lecture 10: Simple Linear Regression, Scatter Plot, Data Set

7.1 seeking correlation 1. basics of correlation -correlation=association=relationship -linear regression analysisstudying the relationship between 2 quantitative variables Ex1. Height vs weight Positive associ...

Statistics
STS 110
Lisa Rosenberg
Statistics - Reference Guides

This Guide provides an easy to follow summary of all basic principles that are the foundation to Statistics and Probabilities. Using a combination of charts and sample equations, the key concepts are developed and the esse...

Econometrics
ETC2430
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