 Fakedata & Fraud (1998) carried out research to test the theory that women are better at recognising faces than men. They showed women and men a series.

Slides:



Advertisements
Similar presentations
Week 3 Chapters 5, 7, 12.
Advertisements

Linear regression and correlation
IB Math Studies – Topic 6 Statistics.
PYA3 Research Methods Non Experimental Techniques.
Matching level of measurement to statistical procedures
Correlations and T-tests
Correlation and Regression. Relationships between variables Example: Suppose that you notice that the more you study for an exam, the better your score.
EXAMPLE 1 Describe the correlation of data Describe the correlation of the data graphed in the scatter plot. a. The scatter plot shows a positive correlation.
Aim: How do we calculate and interpret correlation coefficients with SPSS? SPSS Assignment Due Friday 2/12/10.
Calculating and Interpreting the Correlation Coefficient ~adapted from walch education.
Spearman’s Rank Statistical Analysis to show Relationship Strength.
Simple ideas of correlation Correlation refers to a connection between two sets of data. We will also be able to quantify the strength of that relationship.
Linear Regression Analysis
Correlation Scatter Plots Correlation Coefficients Significance Test.
DECEMBER 2, 2013 MATH 010: 10.1 & 10.2 STATISTICS.
Statistics for the Behavioral Sciences
Statistical Analysis to show Relationship Strength.
Covariance and correlation
Chapter 14 – Correlation and Simple Regression Math 22 Introductory Statistics.
Introduction to Quantitative Data Analysis (continued) Reading on Quantitative Data Analysis: Baxter and Babbie, 2004, Chapter 12.
Linear Regression When looking for a linear relationship between two sets of data we can plot what is known as a scatter diagram. x y Looking at the graph.
Scatterplots October 14, Warm-Up Given the following domain and range in set notation, write the equivalent domain and range in algebraic notation.
Objective: I can write linear equations that model real world data.
Unit 3 Section : Correlation  Correlation – statistical method used to determine whether a relationship between variables exists.  The correlation.
Lecturer’s desk INTEGRATED LEARNING CENTER ILC 120 Screen Row A Row B Row C Row D Row E Row F Row G Row.
 Chapter 7 Scatterplots, Association, and Correlation.
C. A. Warm Up 1/28/15 SoccerBasketballTotal Boys1812 Girls1614 Total Students were asked which sport they would play if they had to choose. 1)Fill in the.
Data Handling & Analysis BD7054 Scatter Plots Andrew Jackson
1. Graph 4x – 5y = -20 What is the x-intercept? What is the y-intercept? 2. Graph y = -3x Graph x = -4.
© 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 13-6 Regression and Correlation.
Data analysis – Spearman’s Rank 1.Know what Spearman’s rank is and how to use it 2.Be able to produce a Spearman’s rank correlation graph for your results.
Example 1: page 161 #5 Example 2: page 160 #1 Explanatory Variable - Response Variable - independent variable dependent variable.
Correlation Correlation is used to measure strength of the relationship between two variables.
Introduction to Correlation Analysis. Objectives Correlation Types of Correlation Karl Pearson’s coefficient of correlation Correlation in case of bivariate.
NCSU WOLFPACK Men’s Basketball. Home & Away Games.
Correlational Studies A way of establishing whether there is a relationship between two variables Assessing the strength of that relationship NB: unlike.
3.3 Correlation: The Strength of a Linear Trend Estimating the Correlation Measure strength of a linear trend using: r (between -1 to 1) Positive, Negative.
5.4 Line of Best Fit Given the following scatter plots, draw in your line of best fit and classify the type of relationship: Strong Positive Linear Strong.
Correlation The apparent relation between two variables.
WARM – UP #5 1. Graph 4x – 5y = -20 What is the x-intercept? What is the y-intercept? 2. Graph y = -3x Graph x = -4.
2 Kinds of Statistics: 1.Descriptive: listing and summarizing data in a practical and efficient way 2.Inferential: methods used to determine whether data.
Goal: Use a graphing calculator to find the equation of the line of best fit. Eligible Content: A / A / A / A / A
Scatter Plots The accompanying table shows the number of applications for admissions that a college received for certain years. Create a scatter plot.
2.5 Using Linear Models A scatter plot is a graph that relates two sets of data by plotting the data as ordered pairs. You can use a scatter plot to determine.
Correlations AP Psychology. Correlations  Co-relation  It describes the relationship b/w two variables.  Example #1  How is studying related to grades?
Chapter 7 Calculation of Pearson Coefficient of Correlation, r and testing its significance.
.  Relationship between two sets of data  The word Correlation is made of Co- (meaning "together"), and Relation  Correlation is Positive when the.
Scatter Plots Below is a sample scatter plot, can you tell me what they are designed to show.
Analyzing Data using the Graphing Calculators Correlation & Slope Notes 3.2.
In other words the relationship between variables.
+ Mortality. + Starter for 10…. In pairs write on a post it note: One statistic that we use to measure mortality On another post it note write down: A.
Correlation and Regression. O UTLINE Introduction  10-1 Scatter plots.  10-2 Correlation.  10-3 Correlation Coefficient.  10-4 Regression.
Correlation & Linear Regression Using a TI-Nspire.
Slide Copyright © 2009 Pearson Education, Inc. Types of Distributions Rectangular Distribution J-shaped distribution.
Scatter Plots and Correlation
Correlational Analysis
Aims and Hypotheses Worksheet:
In other words the relationship between variables
Reasoning in Psychology Using Statistics
In other words the relationship between variables
2. Find the equation of line of regression
In other words the relationship between variables
Day 42 – Understanding Correlation Coefficient
Psychology Life Hack of the Week
Scatter Graphs Spearman’s Rank correlation coefficient
Correlation & Trend Lines
Correlations and practicals
In other words the relationship between variables
Correlation and Prediction
Presentation transcript:

 Fakedata & Fraud (1998) carried out research to test the theory that women are better at recognising faces than men. They showed women and men a series of 60 photographs of adults. Half of the photographs were of people they had been at school with and half were not. The pps were asked to state whether or not they recognised the people in the photographs. The participants were scored +1 for each photograph they correctly identified as being a person they were at school with. The frequency histogram below shows the results of the experiment. 1.What was the size of the sample of men and women used in the experiment? 2.What was the approximate range of scores for women and for men?

Learning Objectives: 1) To develop an understanding of correlational data analysis. Success Criteria: 1) Read through the booklet and make notes about the strengths and weaknesses of correlational analysis on page 17. 2) Carry out your own correlational analysis.

Lets learn about correlationscorrelations

1. Read through the booklet (page 17) about correlations 2. Sketch the three types of correlation 3. Problems with correlational analysis…

People who own a cat are more likely to have a university degree than those with a pet dog, a study by Bristol University suggests. A poll of 2,524 households found that 47.2% of those with a cat had at least one person educated to degree level, compared with 38.4% of homes with dogs. The study said longer hours, possibly associated with better qualified jobs, may make owning a dog impractical. It also found that UK pet ownership was much higher than previously thought. Dr Murray, whose post is funded by the Cats Protection charity, said researchers hoped to repeat the study using the results of the 2011 census to get a clearer idea of trends in UK pet ownership.

0 No correlation perfect negative correlation +1 perfect positive correlation Weak Strong We calculate a coefficient between -1 and +1 The closer to 1 (+ or -) the stronger the relationship

 Make some notes about the strengths and weaknesses of correlational analysis on page 17 of your booklet.  Grab some graph paper and answer the past paper question at the bottom of page 17.

 You are going to carry out your own correlational analysis  You are going to plot the relationship between stress at school and absence  What is the hypothesis?  You need to ask students how stressed they feel currently about school and exams, you should also ask each student how many days absence they have had so far this year  The results will be plotted on a graph

One measure of the functioning of the immune system is the level of activity of white blood cells. What does the graph below tell you about the relationship between stress and the level of activity of white blood cells? (2 marks)