Statistics Wk 1 (Lectures 1&2) Notes
Statistics Wk 1 (Lectures 1&2) Notes Psy 202
Popular in Elementary Statistics
verified elite notetaker
Popular in Psychology
verified elite notetaker
This 3 page Class Notes was uploaded by Anna Ballard on Tuesday August 30, 2016. The Class Notes belongs to Psy 202 at University of Mississippi taught by Mervin R Matthew in Fall 2016. Since its upload, it has received 61 views. For similar materials see Elementary Statistics in Psychology at University of Mississippi.
Reviews for Statistics Wk 1 (Lectures 1&2) Notes
Report this Material
What is Karma?
Karma is the currency of StudySoup.
You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!
Date Created: 08/30/16
Lecture 1 8/24 Chapter 1 ––> Intro & Background ** Study tip: read before class and identify what’s hard then; ask questions in class! Why do people need a stats class? • Technical – some people may need to analyze data eventually • ex: Florida Man http://floridamanandwoman.tumblr.com/ (Question: what in the world is wrong with FL) 1st question when you see a pattern: Does the pattern really exist? Statistics helps us figure out if a pattern is real or an illusion our human brains are trained to recognize patterns The Nature of Reality • EVERYTHING is probabilistic –> in stats class especially, think in probabilities Science and Research in the Social Sciences *natural* sciences –> physics, biology etc… physical data social sciences –> psychology, sociology, etc… figuring out patterns of human behavior more difficult Observation — create or modify a theory Experiment – perform Theory — use experiment and take theory to make a prediction WHERE STATS note of new Scientific Method observations COMES IN! Prediction – design experiment to test prediction • Scientific Method cycle repeats/never ends result of one experiment leads to another We are working w/ Quantitative Research • Structured Data • Statistical Analysis • Objective Conclusions • Surveys; Experiments What is Research: Experiments • Random assignment –> researcher chooses who will be in which group gives researcher control to determine cause and effect however, lose some external validity – cannot generalize results to real world ex: lab vs. home for sleep studies sacrificing external validity is only sometimes ok when justifiable QuasiExperiments • Gain external validity but harder to determine cause and effect • No random assignment so no control over what causes changes Observational Studies • Opposite of experimental design no control over anything lots of external validity but does NOT allow you to determine cause and effect Designing a Study ** Need to know which design you are using to determine what kind of analysis is needed • There is a variable you’re checking on in experiment or research • Think about which populations you are generalizing to statewide, countrywide, universitywide, etc. Populations, Samples, and Sampling Technique • Population –> group you are interested in • Subset –> group to represent your population looking at individual people will not help you figure out a cause/effect looking at a representative group –> random variation draw a sample from the population –> subset • If characteristics of sample are similar to population, sample is good Simple Random Sample • If you want sample to representative of population everyone has an equal chance of being in the sample – 60% of population is blue so nearly 60% of sample should be blue Stratified Sampling • Smaller samples • More control of who goes into sample recruiting your % to match population characteristics race, gender, etc Cluster Sampling • Break large population that has subgroups into “clusters” sample within subgroups and pull into an overall sample Systematic Sampling • “Every 5th Person” –> mess up what sample looks like compared to population sample less representative of population Deliberate/purposive sampling • If you have a lot of info on one subset, you pull people from the other subset to learn about them as much as you know about the other Convenience Sampling • Using people that are easiest to recruit not very representative of population people easiest to recruit may be systematically different than general public –> makes it hard to generalize
Are you sure you want to buy this material for
You're already Subscribed!
Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'