'Left tailed' presentation slideshows

Chapter 8

Chapter 8. Hypothesis Testing. Chapter 8 Overview. Introduction 8-1 Steps in Hypothesis Testing-Traditional Method 8-2 z Test for a Mean 8-3 t Test for a Mean 8-4 z Test for a Proportion 8-5 Test for a Variance or Standard Deviation

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Chapter 9 Hypothesis Testing

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Section 10.2

Section 10.2. Hypothesis Testing for Population Means ( s Known). With valuable content added by D.R.S., University of Cordele. Objectives. Use the rejection region to draw a conclusion. Use the p -value to draw a conclusion. There are two ways to get the answer and we learn BOTH.

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Section 10.2

Section 10.2. Hypothesis Testing for Population Means ( s Known). With valuable content added by D.R.S., University of Cordele. Two ways to do reach a conclusion. Use the rejection region to draw a conclusion. Use the p -value to draw a conclusion.

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Definitions

In statistics, a hypothesis is a claim or statement about a property of a population. A hypothesis test is a standard procedure for testing a claim about a property of a population. Definitions. We will study hypothesis testing for population proportion p population mean ?

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Simple Hypothesis Testing

Simple Hypothesis Testing. Detecting Statistical Differences In The Simplest Case: ? and ? are both known I The Logic of Hypothesis Testing: The Null Hypothesis II The Tail Region, Critical Values: ? III Type I and Type II Error. The Fundamental Idea.

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Hypothesis Tests Steps and Notation (1-Sample)

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Section 8.3 Testing a claim about a Proportion

Section 8.3 Testing a claim about a Proportion. Objective For a population with proportion p , use a sample (with a sample proportion) to test a claim about the proportion. Testing a proportion uses the standard normal distribution ( z -distribution). Notation.

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Chapter Seven

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Hypothesis Testing with One Sample

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Hypothesis Testing for the Mean z-test!

Hypothesis Testing for the Mean z-test! . Large Samples. Decision Rule Based on P-value. If If. Examples: The P-value for a hypothesis test is P = 0.023. What is your decision if the level of significance is ? ?.

795 views • 8 slides