'Probability value' diaporamas de présentation

Microarray data analysis

Microarray data analysis. 25 January 2006. David A. McClellan, Ph.D. Introduction to Bioinformatics david_mcclellan@byu.edu Brigham Young University Dept. Integrative Biology. Inferential statistics. Inferential statistics are used to make inferences about a population from a sample.

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Rainer Unland

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Statistics

Statistics. A two-dimensional random variable with a uniform distribution. A two-dimensional random variable with a uniform distribution. A two-dimensional random variable with a uniform distribution. A two-dimensional random variable with a uniform distribution.

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You will need

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Reporting drugs and treatments

Reporting drugs and treatments. Thomas Abraham. What we will learn today. The difference between absolute and relative risk reduction A basic way to interpret P values and CI (confidence intervals) Number needed to treat (NNT) All of these are to help you evaluate and report on studies.

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Sections 8-1 and 8-2

Sections 8-1 and 8-2. Review and Preview and Basics of Hypothesis Testing. HYPOTHESIS TESTING. In statistics, a hypothesis is a claim or statement about a property of a population.

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Chapter 8 Introduction to Hypothesis Testing

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7.1 Introduction to Hypothesis Testing

7.1 Introduction to Hypothesis Testing. State a null and alternative hypotheses Type I and Type II Errors and interpretations of Level of Significance How to find P -value and when to use a one or two-tailed test Make and interpret a decision based on statistical testing

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The important assumptions for using the t -test

The important assumptions for using the t -test. S-012 Helpful advice for assignment 3. Assumptions. These are called assumptions, but these are not things that we should assume are always true.

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8.2 cont. p-Value Method

8.2 cont. p-Value Method. P- Value Method. The P -value (or probability value) is the actual area under the curve that represents the probability of a statistic The P -value method for solving hypothesis-testing problems compares areas : alpha P -value.

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M ARIO F . T RIOLA

S TATISTICS. E LEMENTARY. Section 5-3 Normal Distributions: Finding Probabilities. M ARIO F . T RIOLA. E IGHTH. E DITION. Other Normal Distributions. If ? ? 0 or ??? ? 1 (or both), we could convert values to standard scores ( z scores) using the formula:

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