'Parent population' diaporamas de présentation

Population Genetics

Population Genetics. Population Genetics. The study of genetic variation in populations. Population. A localized group of individuals of the same species . Species. A group of similar organisms. A group of populations that could interbreed. Gene Pool.

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EVOLUTION & SPECIATION

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Chapter 24: The Origin of Species

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Chapter 24

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Evolution and Darwin

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Agenda

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How Populations Evolve

How Populations Evolve. Gene pool. All genes present in population. microevolution. Change in relative frequencies of alleles in a population over time

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ASVAB: E Pluribus Unum?

ASVAB: E Pluribus Unum?. Martin J. Ippel, Ph.D. CogniMetrics Inc, San Antonio,TX. Steven E. Watson, Ph.D. U.S. Navy Selection & Classification (CNO 132) Washington, DC. 1. The ASVAB is the principal instrument for selection and classification in the U.S. Armed Forces.

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ASVAB: E Pluribus Unum?

ASVAB: E Pluribus Unum?. Martin J. Ippel, Ph.D. CogniMetrics Inc, San Antonio,TX. Steven E. Watson, Ph.D. U.S. Navy Selection & Classification (CNO 132) Washington, DC. 1. The ASVAB is the principal instrument for selection and classification in the U.S. Armed Forces.

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Statistical Techniques I

Statistical Techniques I. EXST7005. Distribution of Sample Means. OBJECTIVES. Usually we will be testing hypotheses about means. We will need some additional information about the nature of means of samples in order to do hypothesis tests.

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Errors in Physical Measurements

Errors in Physical Measurements. Error definitions Measurement distributions Central measures. Errors are uncertainties. Every physical measurement has an uncertainty , i.e., it has an error . Random uncertainties (errors) Can be reduced but not eliminated.

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Genetic Algorithms

Genetic Algorithms. Siddhartha K. Shakya School of Computing. The Robert Gordon University Aberdeen, UK ss@comp.rgu.ac.uk. What are GAs?. Class of Evolutionary algorithm Based on Darwinian Evolution First proposed by John Holland 1960s. 1970s

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DATA ANALYSIS

DATA ANALYSIS. Module Code: CA660 Lecture Block 4. Examples using Standard Distributions/sampling distributions. Background Recombinant Interference

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Education

Christine Casanova, Anthonina Fenelon, Jadira Franco, Victor Gonzalez, Jazzmyn Howell, Kaylisha Miskel, Marlene Oliveira, Fatumata Sheriff, Roxxane Tacares. How are we expected to move forward and succeed if we are set in places that are made for us to fail?. Education. Drugs.

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The Statistical Issues and Interests of the Korean women owned SMEs

The Statistical Issues and Interests of the Korean women owned SMEs. Republic of Korea. The Small and Medium Business Administration. Contents. Introduction The Progress of the Survey Results and Limitations Proposals for Further Improvements. Introduction.

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International Workshop on Subnational Population Projections using Census Data

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Physics 114: Lecture 14 Mean of Means

Physics 114: Lecture 14 Mean of Means. Dale E. Gary NJIT Physics Department. The Goal of Measurement.

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? Benefits of Parent/Family ? Involvement

? Benefits of Parent/Family ? Involvement. u Higher grades and test scores u Improved student behavior u More positive attitudes u Higher graduation rates u More participation in college The Family is Critical to student Achievement: The Evidence Continues to Grow

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n (0,1)

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Genetic Drift

Genetic Drift. Unexpected random changes in gene frequency that occur because of small population size. Two mechanisms: Population Bottleneck A large portion of the population is wiped out, leaving behind a very small population (ex. Natural disaster) 2) Founder Effect

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