'Different samples' presentation slideshows

RANDOM SAMPLING:

1.63k views • 55 slides

Chapter 3

Chapter 3. Producing data. Observation versus Experiment. An observational study observes individuals and measures variables of interest but does not attempt to influence the responses . An experiment deliberately imposes some treatment on individuals to observe their responses.

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ANOVA Procedures

ANOVA (1 way) An extension of the 2 sample t-test used to determine if there are differences among > 2 group means ANOVA with trend test Test for polynomial trend in the group means ANOVA (2 way) Evaluate the combined effect of 2 experimental factors ANOVA repeated measures

1.28k views • 42 slides

7. Comparing Two Groups

7. Comparing Two Groups. Goal: Use CI and/or significance test to compare means (quantitative variable) proportions (categorical variable) Group 1 Group 2 Estimate Population mean Population proportion

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Chapter 7- Probability

Chapter 7- Probability. A phenomenon is random if any individual outcome is unpredictable, but each outcome tends to occur in a fixed proportion of a very long sequence of repetitions. Examples : Toss a coin Roll a pair of dice Sex of a newborn baby Draw one card from a deck

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Predictive Biomarkers for tailoring drug therapy

Predictive Biomarkers for tailoring drug therapy. Outline. What is a predictive biomarker and why are they important? How does genomics facilitates the search for predictive biomarkers? Are there any examples of clinically useful predictive biomarkers?. 1. What is a predictive biomarker?.

667 views • 36 slides

USPS UPDATE NPF MAY 2011

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Measures of Central Tendency

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Types and Sources of Errors in Statistical Data

Types and Sources of Errors in Statistical Data. Types of Errors. In general, there are two types of errors: a. non-sampling errors and b. sampling errors.

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Reliable Causal Inference via Genetic Matching: A new matching method jointly developed by Alexis Diamond and Jasjeet Se

Reliable Causal Inference via Genetic Matching: A new matching method jointly developed by Alexis Diamond and Jasjeet Sekhon. Alexis Diamond. Software by Sekhon and links to associated papers available at: http://jsekhon.fas.harvard.edu/matching/ .

745 views • 28 slides

Section 3.7: Finite Population Sampling

Section 3.7: Finite Population Sampling. April 21, 2010 STAT 950 Chris Wichman. Motivation. Every ten years, the U.S. government conducts a population census, and every five years the U. S. National Agricultural Statistics Service conducts an Agriculture Census.

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How many ways are there to pass through city A where the arrows represent one-way streets?

How many ways are there to pass through city A where the arrows represent one-way streets? Answer: mn ways

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Bias in Survey Sampling

Bias in Survey Sampling . Bias Due to Unrepresentative Samples . A good sample is representative . This means that each sample point represents the attributes of a known number of population elements.

1.47k views • 18 slides

Proteomics:

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Data Analysis

Data Analysis. Summary of Quantitative Analysis Neuman and Robson Ch. 11. Analyzing Quantitative Data (for brief review only). Parametric Statistics : -appropriate for interval/ratio data -generalizable to a population -assumes normal distributions Non-Parametric Statistics:

452 views • 16 slides

Data Analysis

Data Analysis. Summary of Quantitative Analysis Neuman and Robson Ch. 11. Analyzing Quantitative Data (for brief review only). Parametric Statistics : -appropriate for interval/ratio data -generalizable to a population -assumes normal distributions Non-Parametric Statistics:

266 views • 16 slides

Probability & Statistics for Engineers & Scientists, by Walpole, Myers, Myers & Ye ~ Chapter 8 Notes

Probability & Statistics for Engineers & Scientists, by Walpole, Myers, Myers & Ye ~ Chapter 8 Notes. Class notes for ISE 201 San Jose State University Industrial & Systems Engineering Dept. Steve Kennedy. Populations & Samples.

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Original Figures for "Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression M

Original Figures for "Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring".

422 views • 10 slides

Hypothesis Construction: The Basics of Variable Operationalization

Hypothesis Construction: The Basics of Variable Operationalization. PO 390W: Research Design for Political Science. From Concept to Measurement.

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Determining canine breed based on DNA bands Katie Vickers 2006-2007 Senior Capstone

Determining canine breed based on DNA bands Katie Vickers 2006-2007 Senior Capstone. Results

127 views • 1 slides