Welcome to PSYC 11!
Spring 2010 Ryne Sherman
Introduction
Introduction to Statistics Basic Concepts & Definitions
What to expect from this course
Why do we even have to take this course?
I thought I was a psychology major?
2
Statistical Thinking is I
Psychology 11, Winter 2017
Danielle Samuels, M.A., Ed.M., Ph.D. (ABD)
Psychological Methods: Statistical Procedures
Statistics is the grammar of science.
-Karl Pearson
Statistical thinking will one day be as necessary for efficient citizenship as the abil
PSYC11
WEEK 5: THEORETICAL
DISTRIBUTIONS AND PROBABILITY
Yeram Cheong
ycheo001@ucr.edu
OH: Fridays 11am-12pm @ Psychology Rm. 2133
AGENDA
Review Midterm#1 problems
Review: Theoretical distributions and Probability
Practice problems
Reminder due next w
One-Way ANOVA Part 2
Lecture 11 Psyc 11
Today
One way ANOVA recap and example Tukey's HSD What to expect (and how to study) for Tuesday's exam
One-way ANOVA
Used when comparing more than two independent groups.
There is 1 independent variable and multip
ANOVA Part 1
Lecture 10 Psyc 11
Today
One-way
ANOVA
t tests extended
t
tests compare a sample to a population mean or compares two groups if there are more than 2 groups?
What
We can compare each pair BUT, Type 1 error quickly increases
T tests extend
Two-Sample Designs
Lecture 9
Yesterday Recap
Null
hypothesis testing Type I () and Type II () error 1 vs. 2 tailed tests 1 sample t test t test of r vs. 0 (correlations)
Today
More
on t tests Experimental design Independent samples t test Assumptions of
Null Hypothesis Testing & One Sample Designs
Lecture 8
Last Week Recap
Sampling distributions Sampling issues random vs. biased The normal distributions Proportions and probability t distributions Confidence intervals Using Table C & D in your book
Sampling Distributions & Confidence Intervals
Lecture 7
Exam Info.
Recap from Last Week
Empirical vs. theoretical distributions Probability The normal distribution Using Z scores to find proportions
Today
Sampling issues Sampling distributions t distr
Normal Distributions & Z-Scores
(introduction to inferential statistics)
Lecture 6
Today
Descriptive vs. inferential statistics Empirical vs. theoretical distributions Probability The normal distribution Proportionality
Descriptive vs. Inferential statis
Linear Regression
Lecture 5
Linear Regression
A technique that uses data from two variable to create a straight line, and then use this line to make predictions.
Correlation vs. Regression
Correlation = non directional
In correlation, we had two variab
Correlation
Lecture 4
Bivariate Relationships
Relations between two variables
Univariate Distributions Bivariate Distributions
How is one variable related to another variable? Distribution of scores on one variable Joint distribution of two variables i
Describing Your Data Part 2
Lecture 3
Overview
Graphing Data Distributions of Data Other Descriptive Statistics
ZScores
Graphing Data
Graphs
Frequency Polygon Histogram Bar Graph Line Graph Stem & Leaf Plot Boxplot (or Box & Whiskers Plot)
Frequency P
Experimental Design & Describing Data
Lecture 2
Overview
Experimental Design Summarizing Data Graphing & Frequency Distributions
Measures of Central Tendency Measures of Variability (spread)
Experimental Design
Experimental Design involves how we
get
Final Cheat Sheet -Psych 11
Population: Everyone/All cases in a specified group
Sample: A subset that are taken from the pop. of interest; Clear description of sample is important
Types of Statistics
Descriptive: Summary of data - mean/median/mode; Descri