The Data Collection and Statistical Analysis in IB Biology John Gasparini The Munich International School Part VI – A Statistical Test Flow Chart.

Slides:

Advertisements

Similar presentations

Objective - To graph linear equations using the slope and y-intercept.

Advertisements

2.4 Writing the Equation of a Line

Section 10-3 Regression.

Linear Equations Review. Find the slope and y intercept: y + x = -1.

Learning Objectives Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.

Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Bivariate Correlation and Regression CHAPTER Thirteen.

Learning Objectives 1 Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.

Graphing Using Slope - Intercept STEPS : 1. Equation must be in y = mx + b form 2. Plot your y – intercept ( 0, y ) 3. Using your y – intercept as a starting.

5-7: Scatter Plots & Lines of Best Fit. What is a scatter plot?  A graph in which two sets of data are plotted as ordered pairs  When looking at the.

Regression and Correlation

Correlation and Regression Analysis

Linear Regression In Excel. Linear Regression  In this presentation you will learn the following: How to make a scatter plot in Excel (Click Here)Here.

Lecture 5 Correlation and Regression

Types of Graphs Creating a Graph With Microsoft Excel.

MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT

Statistics for the Social Sciences Psychology 340 Fall 2013 Thursday, November 21 Review for Exam #4.

1. An Overview of the Data Analysis and Probability Standard for School Mathematics? 2.

Correlation and regression 1: Correlation Coefficient

Learning Objective Chapter 14 Correlation and Regression Analysis CHAPTER fourteen Correlation and Regression Analysis Copyright © 2000 by John Wiley &

Biostatistics Unit 9 – Regression and Correlation.

Sec 1.5 Scatter Plots and Least Squares Lines Come in & plot your height (x-axis) and shoe size (y-axis) on the graph. Add your coordinate point to the.

Module 8 Regression and Correlation Module 8. module 8 Relationship between two variables Changing wind speed, humidity, or other met parameters, and.

CHAPTER 4: TWO VARIABLE ANALYSIS E Spring.

Scatter Diagrams Objective: Draw and interpret scatter diagrams. Distinguish between linear and nonlinear relations. Use a graphing utility to find the.

Chapter Thirteen Copyright © 2006 John Wiley & Sons, Inc. Bivariate Correlation and Regression.

Section 2.6 – Draw Scatter Plots and Best Fitting Lines A scatterplot is a graph of a set of data pairs (x, y). If y tends to increase as x increases,

* SCATTER PLOT – GRAPH WITH MANY ORDERS PAIRS * LINE OF BEST FIT – LINE DRAWN THROUGH DATA THAT BEST REPRESENTS IT.

Correlation Coefficient -used as a measure of correlation between 2 variables -the closer observed values are to the most probable values, the more definite.

Regression Analysis. 1. To comprehend the nature of correlation analysis. 2. To understand bivariate regression analysis. 3. To become aware of the coefficient.

.  Relationship between two sets of data  The word Correlation is made of Co- (meaning "together"), and Relation  Correlation is Positive when the.

Regression and Median Fit Lines

Simple linear regression and correlation Regression analysis is the process of constructing a mathematical model or function that can be used to predict.

1.6 Modeling Real-World Data with Linear Functions Objectives Draw and analyze scatter plots. Write a predication equation and draw best-fit lines. Use.

Irwin/McGraw-Hill © Andrew F. Siegel, 1997 and l Chapter 9 l Simple Linear Regression 9.1 Simple Linear Regression 9.2 Scatter Diagram 9.3 Graphical.

*Bring Money for Yearbook!

F-IF.C.7a: Graphing a Line using Slope-Intercept, Part 1

Elementary Statistics

*Bring Money for Yearbook!

Data Analysis Module: Correlation and Regression

Regression and Correlation

F-IF.C.7a: Graphing a Line using Slope-Intercept, Part 2

SIMPLE LINEAR REGRESSION MODEL

Correlation and Regression Basics

CHAPTER 10 Correlation and Regression (Objectives)

Correlation and Regression Basics

Investigating Relationships

Journal Heidi asked 4 people their height and shoe size. Below are the results. 63 inches inches inches inches 8 She concluded that.

2. Find the equation of line of regression

2.4 Writing the Equation of a Line

Lesson 5.3 How do you write linear equations in point-slope form?

MATH 1311 Section 3.3.

PARENT GRAPH FOR LINEAR EQUATIONS

SLOPE = = = The SLOPE of a line is There are four types of slopes

Correlation and Regression

2.4 Writing the Equation of a Line

8/29/12 Writing the Equation of a Line

Slope Intercept Form Lesson 6-2.

EXIT TICKET: Graphing Linear Equations 11/17/2016

Standard deviation Spearman's Rank Correlation Chi squared test

Forms of a linear equation

Write the equation for the following slope and y-intercept:

Graphing Linear Equations

Ch 4.1 & 4.2 Two dimensions concept

Section 1.3 Modeling with Linear Functions

Creating a Graph With Microsoft Excel

Objectives: To graph lines using the slope-intercept equation

2.4 Writing the Equation of a Line

Descriptive statistics Pearson’s correlation

Unit 5: Linear Functions & Slope Intercept

Presentation transcript:

The Data Collection and Statistical Analysis in IB Biology John Gasparini The Munich International School Part VI – A Statistical Test Flow Chart

We start here! What kind of data?

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts)

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test?

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line 2 sets More than 2 sets

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line 2 sets More than 2 sets Same individuals Different individuals

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line 2 sets More than 2 sets Same individuals Different individuals Paired T-test =TTEST (array1, array2, 2,1) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif.

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line 2 sets More than 2 sets Same individuals Different individuals Paired T-test =TTEST (array1, array2, 2,1) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. Unpaired T-test =TTEST (array1, array2, 2,2) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif.

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line 2 sets More than 2 sets Same individuals Different individuals Paired T-test =TTEST (array1, array2, 2,1) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. Unpaired T-test =TTEST (array1, array2, 2,2) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. ANOVA See your teacher for advice on how this might be handled

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line 2 sets More than 2 sets Same individuals Different individuals Paired T-test =TTEST (array1, array2, 2,1) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. Unpaired T-test =TTEST (array1, array2, 2,2) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. ANOVA See your teacher for advice on how this might be handled What kind of Stats Test?

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line 2 sets More than 2 sets Same individuals Different individuals Paired T-test =TTEST (array1, array2, 2,1) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. Unpaired T-test =TTEST (array1, array2, 2,2) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. ANOVA See your teacher for advice on how this might be handled What kind of Stats Test? Testing for difference between counts Comparing observed data to a theory

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line 2 sets More than 2 sets Same individuals Different individuals Paired T-test =TTEST (array1, array2, 2,1) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. Unpaired T-test =TTEST (array1, array2, 2,2) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. ANOVA See your teacher for advice on how this might be handled What kind of Stats Test? Testing for difference between counts Comparing observed data to a theory Chi Squared Test =CHISQ.TEST (Obs. array, Exp.array) If P < 0.05 = Disagree with theory If P > 0.05 = Agree with theory

We start here! What kind of data? Measurements Calculate mean and SD from replicates Frequencies (Counts) What kind of Stats Test? Make Scatter Plot Plot Bar Graph Testing for relation between 2 sets Testing for difference between sets Testing for a correlation Finding how one factor affects another Pearson Correlation Coefficient =CORREL (array1, array2) 0 = no correlation 1 = perfect correlation Linear Regression Add trendline to graph Display equation Gives slope and intercept of line 2 sets More than 2 sets Same individuals Different individuals Paired T-test =TTEST (array1, array2, 2,1) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. Unpaired T-test =TTEST (array1, array2, 2,2) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif. ANOVA See your teacher for advice on how this might be handled What kind of Stats Test? Testing for difference between counts Comparing observed data to a theory Chi Squared Test =CHISQ.TEST (Obs. array, Exp.array) If P < 0.05 = Disagree with theory If P > 0.05 = Agree with theory Chi Squared Test =CHISQ.TEST (Obs. array, Exp.array) If P < 0.05 = Sig. Dif. If P > 0.05 = No Sig. Dif.