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Textbook Notes for Liz Moliski

UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter Notes - Chapter 10-7: Null Hypothesis

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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter 2.3: 2.3 Exploring Two Categorical Variables- Contingency Tables

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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter 3.2: 3.2 Describing Shape

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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter Notes - Chapter 8-4: Response Bias, Sampling Frame

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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter 2.1 - 2.2: 2.1 - 2.2 Introduction to Categorical Variables

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2. 1 - 2. 2 introduction to categorical variables: source: a variable that records where each visitor for an online website comes from, direct: indicat
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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter Notes - Chapter 10-4: Sampling Distribution, Effect Size, Null Hypothesis

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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter Notes - Chapter 8-1: Statistical Parameter, Sampling Bias, Statistic

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Idea 1: sample - examine a part of the whole. Examining an entire population is impractical, too expensive, and not feasible, so a smaller group of ind
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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter Notes - Chapter 9-4: Confidence Interval

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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter 7.2: 7.2 The Normal Distribution

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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter Notes - Chapter 9-2: Standard Deviation, Simple Random Sample, Central Limit Theorem

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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter Notes - Chapter 10-1: Null Hypothesis, Standard Deviation

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The starting hypothesis, called the null hypothesis (h0) is a working model that we adopt temporarily or for the sake of argument. It specifies a popul
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UT-AUSTINSTA 309Liz MoliskiSpring

STA 309 Chapter 4.4 – 4.5 : 4.4 – 4.5 The Linear Model & Lurking Variables

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