'Statistical hypothesis' diaporamas de présentation

STATISTICAL HYPOTHESIS TESTING BY Dr. K.R. SUNDARAM Professor & Head

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SP1. Using Representations and Models

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Basic Data Analysis: Descriptive Statistics

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30 Hypothesis Testing

30 Hypothesis Testing. John Man. 6 s. ?. 1. Statistical Testing Objectives. At the end of this module, the student will be able to: Understand the concept of a null hypothesis and an alternate hypothesis. Understand the concept of Decision Risk Alpha risk (Type I error)

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Hypothesis Testing

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Normal Distribution

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RESEARCH METHODS

RESEARCH METHODS. Introduction to Research http://www.management.usm.my/daing. What is Research?. Definition: An organised, systematic, data-based critical scientific inquiry or investigation into a specific problem, undertaken with the objective of finding answers or solutions to it.

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Hypothesis Testing

Hypothesis Testing. W&W, Chapter 9. Overview. We will discuss two approaches to hypothesis testing: Using confidence intervals Using critical t or z values, or p values. Hypothesis Test.

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z =

X - ?. _. z = . -. ? X. Wow! We can use the z-distribution to test a hypothesis. Step 1. State the statistical hypothesis H 0 to be tested (e.g., H 0 : ? = 100) Step 2. Specify the degree of risk of a type-I error, that is, the risk of incorrectly concluding

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Data Mining vs. Statistics

Data Mining vs. Statistics. Pavel Brusilovsky. Objectives. Intro to Data Mining Data Mining vs. Statistics Data Mining vs. Text Mining Applications of Data Mining. 2. Data Mining. Data Mining

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Wednesday, October 26

Wednesday, October 26. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. _. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X. X.

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What are the critical pieces that will tell us which t-test to use?

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Week 9: QUANTITATIVE RESEARCH (3)

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Test of significance

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Monday, October 22

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Statistical Comparison of Two Learning Algorithms

Statistical Comparison of Two Learning Algorithms. Presented by: Payam Refaeilzadeh. Overview . How can we tell if one algorithm can learn better than another? Design an experiment to measure the accuracy of the two algorithms. Run multiple trials.

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Chapter 10 Day 2

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