'80 free throw shooter' diaporamas de présentation

Significance Tests: The Basics

Significance Tests: The Basics. STATE the null and alternative hypotheses for a significance test about a population parameter. INTERPRET a P -value in context. DETERMINE whether the results of a study are statistically significant and MAKE an appropriate conclusion using a significance level.

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Chapter 6 Introduction to Inference

Chapter 6 Introduction to Inference. Chapter 6 Introduction to Inference. 6.1 Estimating with Confidence 6.2 Tests of Significance 6.3 Use and Abuse of Tests 6.4 Power and Inference as a Decision. 6.1 Estimating with Confidence. Inference Statistical Confidence Confidence Intervals

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Chapter 11

Chapter 11. Understanding Randomness. What is Randomness?. Some things that are random: Rolling dice Shuffling cards Lotteries Bingo Flipping a coin. Randomness. Why do we need randomness? We use randomness in our data collection to give a fair and accurate picture of the world.

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Chapter 9

Chapter 9. Testing a Claim. Significance Test. A significance test is a formal procedure for comparing observed data with a claim (also called a hypothesis ) whose truth we want to assess. The claim is a statement about a parameter: Population proportion p Population mean

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