Statistical Analysis of Match.com By Caitlin Rosica.

Slides:



Advertisements
Similar presentations
Love & Marriage Shakespeares Time vs. Today. Paris- Scene 2 Paris, a relative of the Prince, will ask for Juliets hand in marriage in Act I, Scene 2 Heres.
Advertisements

Marching into Career Exploration!
Introduction To Statistics
Children Aged 5 to
Matching Theory.
Confidence Intervals for Population Means
FEMALE SELF-ESTEEM. As we grow older, women gain weight. This happens because we accumulate a lot of information in our heads.
Men in Contemporary America Why is Muscularity Sexy? Tests of the Fitness Indicator Hypothesis Maggie, Genie, Joe Frederick, D., Haselton, M. (2007). Why.
Variables Definition of variable: is a characteristic or attribute of a person or object (polit, 2004). Example of some variables Weight. Body temperature.
Why is gum not allowed in school
IDENTIFYING VARIABLES
Lecture 4 CSE 331 Sep 9, Blog posts for lectures Starts from today See Sep 8 post on the blog.
Darwin (1871) Didn’t specify morphological features that females used to select males Females used aesthetic preference Independent of male health or fitness.
Two-Way Frequency Tables
Family Planning.
Introduction to Data Analysis *Training Session*
How S.M.A.R.T are your goals?. When setting a goal make sure it is… Specific M A R T Specific means… EXACT or CLEAR Saying that you want to do well in.
1 Faculty of Social Sciences Induction Block: Maths & Statistics Lecture 5: Generalisability of Social Research and the Role of Inference Dr Gwilym Pryce.
Role of Women in China.  Confucianism very popular  Strict roles for people  Roles depended on  Family status  Job  Age  Sex  Intelligence  Few.
In what ways are our superstitions and beliefs in the supernatural different to Chinese people?  The following is an example to help with your Tangjia.
SPSS Data Analysis Statistical Procedures and Interpretation MKT568 Global Marketing Management Dr. Fred Miller 3-1.
American Pride and Social Demographics J. Milburn, L. Swartz, M. Tottil, J. Palacio, A. Qiran, V. Sriqui, J. Dorsey, J. Kim University of Maryland, College.
Why do we have programs like food stamps and Medicaid? Are they necessary? Why or why not? Call to Order.
Project MAHMA oms t ome aking. Project MAHMA is committed to building a team of Moms who are interested in working from home, raising their children,
Mate Selection Your “key” to unlocking a happy marriage.
Simple Economics. Do you like to earn money, save money or spend money? If you said that you like spending money, then you are contributing to our country’s.
Statistics and Quantitative Analysis U4320 Segment 12: Extension of Multiple Regression Analysis Prof. Sharyn O’Halloran.
Colonial Times Clothing By: Nicholas Livshits 7A3.
P is For… Current Word: Passion Your Word: Purpose Why? I would change this to purpose because I believe it is important to know what your purpose is in.
Chapter 6 Lecture 3 Sections: 6.4 – 6.5.
S1T11 Section 1 Topic 1 Levels of Measurement Categorical Data.
Plan J and Plan W are weight loss programs 4 of the 5 women on plan J lost weight 2 of the 9 men on plan J lost weight 7 of the 9 women on plan W lost.
Data Liberation Training 2001 Complex Files: Pasting and Cutting with SPSS Université de Montréal Wendy Watkins April 24, 2001.
Your Hard Times Budget Profile Objective: To learn to budget a total figure available and allocating that figure you think you could reasonably expect.
GLOBAL POPULATION Population Counter Population Counter.
STATISTICS Section 1.1 Introduction. STATISTICS WRITE IT DOWN! It involves collecting numerical information called data, analyzing it, and making meaningful.
The Ku Klux Klan, Real Estate Agents, and Predictive Validity.
1.2 An Introduction to Statistics Objectives: By the end of this section, I will be able to… 1) State the meaning of descriptive statistics.
23 X 46= 846 ÷ 7= Representing the Heights of First and Fourth Graders Measure the heights of a class of First Graders and a class of Fourth Graders.
Marriage Prep: Choosing a Partner 1. Discuss evaluation activities and topics of discussion that are important when selecting a mate.
Sociology of Creepiness Robert Wonser 1. What Creeps us out? Psychologists Francis McAndrew and Sara Koehnke wanted to know. Their hypothesis was that.
Kristen Lockhart COMPUTER PRIVACY & PERSONAL INFORMATION What types of information do companies have and share about YOU?
APA Results Section Results.
HOW TO SAY NO. Refusal Skills Communication strategies that can help you say no when you are urged to take part in behaviors that are unsafe or unhealthful,
Hints for Stating Hypotheses
Week 2. Appearance Appearance Appearance = The way someone looks. Hair – example: Length, style, color. Height – example: Tall, short, average height.
Bellwork  Why do you think most marriages end in divorce?  Take your notes out!
Lauren Tamburrino SOC Women in the Workplace.
Body Image. BODY IMAGE The way you see your body through self observation and the reactions of others. Positive body image: have a real perception of.
Chapter 13: Part III AP Statistics.
Introduction to Dot Plots. There are two types of data we will be looking at Categorical Data - places someone or something into several groups or categories.
Tobacco Use Is The Leading Cause Of Death And Disability In The U.S.
The Normal Approximation for Data. History The normal curve was discovered by Abraham de Moivre around Around 1870, the Belgian mathematician Adolph.
Chapter Five: Public Opinion and Political Socialization.
Egg donation is the process by which a woman provides one or several eggs (ova, oocytes) for purposes.
What is Body Image? A combination of the way you see your physical self and how you believe others see you.
Feelings of Premarital Sexual Guilt based on Religious Views or Practices Suzanne Simpson (Miami University, Family Studies & Social Work) Bivariate Correlation.
Descriptive and Inferential Statistics Descriptive Statistics – consists of the collection, organization, and overall summery of the data presented. Inferential.
Journal #1  What quality will you most avoid when choosing a future spouse? Why?
Intro: Teenage Love Story Dating & Mate Selection.
Indexes, Scales, and Typologies
Arrangements or patterns for producing data are called designs
The Ku Klux Klan, Real Estate Agents, and Information
Arrangements or patterns for producing data are called designs
Before you Step into the NHS
Candy Questions Why did you pick that candy?
Your strengths and the NHS
SIMPSON’S PARADOX.
MATH 2311 Section 1.1.
Presentation transcript:

Statistical Analysis of Match.com By Caitlin Rosica

Match.com uses an algorithm called “Synapse” to match single people. With the number of subscribers ever growing, the algorithm had to get more and more specific. HOW IT WORKS

Data Collected: Preferred height Preferred body type Age range of interest Desired hair color THE BASICS

Tries to use “behavior modeling” to predict how people will act Even if someone says they want someone between without kids, they might be open to a man with children after a few weeks of browsing and not finding a good match. The algorithm responds to stimuli. If you say you’re not interested in older men, but constantly look at the profiles of older men, Match will start to pair you with older men. DOES MATCH KNOW YOU BETTER THAN YOU KNOW YOURSELF?

Statistically, conservatives are more likely to be open to liberals than liberals to conservatives. Therefore, the algorithm will suggest liberals to conservatives, but not the other way around. Match.com will put different weight on different attributes. For example: men statistically will not budge on hair color, whereas women are less likely to be open to men of different religions. SMART STATISTICS

ING OUTSIDE OF PREFERENCES

Men are least likely to budge on hair color, but the income of the woman is less important. Women won’t budge when it comes to being matched with a smoker or non-smoker, but are willing to compromise on the kids issue. Women and men are almost equally as likely to budge on faith, job, and education. Overall, women are more willing to compromise than men are. ANALYZED

So, in the end, it’s all about the MAT(C)H

ch_review/ l eharmony-algorithm-internet-dating SOURCES