Phenotypic Variation: Examining the Seeds of Cedrela odorata Nate and Crystal Natural Selection and Evolution: Phenotypic Variation Module 3 Atlantic Forest,

Slides:



Advertisements
Similar presentations
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall8-1 Chapter 8: Statistical Quality Control.
Advertisements

Comparing Leaf Litter Quantities Among Plant Communities By Barney, Rachael, Crystal, Cam, Puja, Nate Atlantic Forest, Brazil SEE-U 2000.
Statistics 1: Introduction to Probability and Statistics Section 3-3.
EPIDEMIOLOGY AND BIOSTATISTICS DEPT Esimating Population Value with Hypothesis Testing.
Chapter 9 Hypothesis Testing 9.4 Testing a Hypothesis about a Population Proportion.
Today Concepts underlying inferential statistics
Confidence Interval.
Types of Leaf Herbivority in Communities Cameron, Nate, Crystal, Puja, Rachael, Barney Atlantic Forest, Brazil SEE-U 2000.
Unit 7b Statistical Inference - 2 Hypothesis Testing Using Data to Make Decisions FPP Chapters 27, 27, possibly 27 &/or 29 Z-tests for means Z-tests.
Fall 2013 Lecture 5: Chapter 5 Statistical Analysis of Data …yes the “S” word.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 10 Comparing Two Populations or Groups 10.2.
Lecture 5: Chapter 5: Part I: pg Statistical Analysis of Data …yes the “S” word.
PCB 3043L - General Ecology Data Analysis. OUTLINE Organizing an ecological study Basic sampling terminology Statistical analysis of data –Why use statistics?
Comparison of Hymenopterans of Three Forest Types in Morro do Diabo, Sao Paulo State, Brazil Crystal Begin Brazilian Atlantic Forest SEE-U 2000.
Comparing Two Means and Two Standard Deviations Module 23.
Non-Parametric Statistics Part I: Chi-Square .
Hypotheses setting and testing. Hypotheses A hypothesis is a specific statement of prediction. It describes in concrete terms what you expect will happen.
Plant Productivity Crystal, Barney, Nate, Rachael, Cameron, and Puja Atlantic Forest, Brazil SEE-U 2000.
Statistical Process Control
Chapter 10: Introduction to Statistical Inference.
Introduction to Hypothesis Testing: the z test. Testing a hypothesis about SAT Scores (p210) Standard error of the mean Normal curve Finding Boundaries.
Descriptive Statistics Used to describe a data set –Mean, minimum, maximum Usually include information on data variability (error) –Standard deviation.
PCB 3043L - General Ecology Data Analysis. PCB 3043L - General Ecology Data Analysis.
Hypothesis Testing Errors. Hypothesis Testing Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean.
PCB 3043L - General Ecology Data Analysis.
INTRODUCTION TO HYPOTHESIS TESTING From R. B. McCall, Fundamental Statistics for Behavioral Sciences, 5th edition, Harcourt Brace Jovanovich Publishers,
Quality Control  Statistical Process Control (SPC)
Why do we analyze data?  It is important to analyze data because you need to determine the extent to which the hypothesized relationship does or does.
Introduction to statistics Definitions Why is statistics important?
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 12 Tests of Goodness of Fit and Independence n Goodness of Fit Test: A Multinomial.
Learning Objectives After this section, you should be able to: The Practice of Statistics, 5 th Edition1 DESCRIBE the shape, center, and spread of the.
Introduction to Hypothesis Testing. Hypothesis Testing The general goal of a hypothesis test is to rule out chance (sampling error) as a plausible explanation.
PCB 3043L - General Ecology Data Analysis Organizing an ecological study What is the aim of the study? What is the main question being asked? What are.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 10 Comparing Two Populations or Groups 10.2.
CHAPTER 10 Comparing Two Populations or Groups
Chapter 4. Inference about Process Quality
Hypothesis Testing II: The Two-sample Case
CHAPTER 10 Comparing Two Populations or Groups
PCB 3043L - General Ecology Data Analysis.
Statistics for Psychology
Part Three. Data Analysis
Chapter 9 Hypothesis Testing
Puja, Crystal, Barney, Nate, Cam, Rachael
Two-sided p-values (1.4) and Theory-based approaches (1.5)
Inferences on Two Samples Summary
Hypothesis Tests for Proportions
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 1 Exploring Data
CHAPTER 10 Comparing Two Populations or Groups
Descriptive Statistics
Non-Parametric Statistics Part I: Chi-Square
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Gene-Expression Variation Within and Among Human Populations
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 1 Exploring Data
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 1 Exploring Data
CHAPTER 10 Comparing Two Populations or Groups
Quadrat sampling & the Chi-squared test
CHAPTER 1 Exploring Data
Quadrat sampling & the Chi-squared test
CHAPTER 10 Comparing Two Populations or Groups
Presentation transcript:

Phenotypic Variation: Examining the Seeds of Cedrela odorata Nate and Crystal Natural Selection and Evolution: Phenotypic Variation Module 3 Atlantic Forest, Brazil SEE-U 2000

Introduction §Phenotypic Variation: Individuals of the same species exhibiting differences in morphological characteristics §We examined phenotypic variation exhibited in seeds of the Cedrela odorata l This tree is common to the Atlantic Forests of Brazil and is harvested for its wood products

Methodology §90 seeds were randomly selected from one tree and sampled by three groups §Each seed was weighed with a spring balance, and the measure of its length and width taken with use of a caliper §Statistical tests were performed in order to determine the extent variation among the sampled seeds

Hypotheses §Null Hypothesis: There is no variation in length, width, and weight of the C. odorata seeds randomly sampled from the same tree §Alternative Hypothesis: There is variation in the length, width, and weight of the C. odorata seeds from the same tree

Results

Frequency Distribution of Length of the seeds of C. odorata

Length Class §The graph illustrates the distribution of the length of seeds sampled l 80% of individuals sampled are larger than 7cm

Frequency Distribution of the Width of seeds of Cedrela odorata

Width Class §The majority of seeds sampled are less than 4cm in width §A small proportion exceed this value

Frequency Distribution of the Weight (g) of the seed C. odorata

Weight Class §The weight within the seeds sampled extends over a large range ( g) §The largest proportion are found in the range

Summary of the Results obtained from each Group describing Phenotypic Variation

Averages §Average length - 7cm §Average width - 4cm §Average weight - ~25g

Discussion/Conclusion §Variation among the length and width is less than the variation observed in weight §Phenotypic Variation among seeds from the same tree may be attributable to seed position on the tree §Null Hypothesis was accepted