PSYC 2317
Spring 2013
Statistics: Variables
Statistics
Statistics:
o
Analyze
o
Interpret
o
Make Predictions
Goal is discovery and making sense out of numbers.
Minimum= Being able to determine if your guess is correct.
Statistics
Statistics is divided into
PSYC 2317
Spring 2013
Prediction & Regression
Prediction
Standardized Regression Coefficient= Beta ()
Formula with Z scores:
Predicts your score in terms of standard deviation (Z Scores)
Predicted Zy = ()(Zx)
Standardized Regression Coefficient:
Use corre
PSYC 2317
Spring 2013
Inferential Statistics
Inferential Statistics
Inferential Statistics: Draw conclusions from data acquired (descriptive).
Probability
Sample vs. Populations
Allows you to generalize to the public
Inferential Statistics
Populations: To
PSYC 2317
Spring 2013
Levels of Measurement & Tables
Levels of Measurement
Numeric Value
o
o
Quantitative
Can be measured
Equal Interval Variable (Interval)
o
Equal Amounts of what is being measured
o
GPA Score
Distance from 2.5-2.8 = Distance from 3.5-3.
PSYC 2317
Spring 2013
Correlation
Correlation
Correlation- Statistics for two or more variables
Relationships
XY
Ex: GRE Scores and College GPA
Two variables
Pornography and Sexual Assault
Chocolate and High Exam Grades
Correlation
Activities and Marital
Exam 1 Review Basic Statistics for Psychology
Chapter 1:
Describe the two branches of statistics.
Know the levels of measurement.
How do you construct a frequency table? Percentages? Cumulative? What are they used
for?
Histograms and Distributions: Know h
PSYC 2317
Spring 2013
Variability, Std Dev, & Z-scores
Variability
Variability:
How scores are spread out in a distribution
Could have same mean, and different variance
Different mean, same variance
Variability can influence other variables
Ex: Stats and
PSYC 2317- 202
Tuesday and Thursday 9:00AM10:15AM, BH 118
Basic Stats for Psychology
Syllabus
Department of Psychology and Communications
Instructor: Mr. Ray Garza
E-mail: [email protected]
Telephone: 956-326-2618
Office: CH 312 F
Office H
PSYC 2317
Spring 2013
Tendencies & Representativeness
Central Tendency and Variance
Descriptive Statistics
The focus of descriptive statistics is to make scores understandable.
Describe Scores in terms of
Central Tendency
Mean, Mode, and Median
How scores
PSYC 2317
Spring 2013
The Normal Curve
Normal Curve
Normal Curve
What is the normal curve?
Characteristics:
Scores around the center
Uni-Modal, Roughly symmetrical (Bell shape)
Normal Distribution
Extremes at each end
Normal Curve
Assumptions:
Scores on a
PSYC 2317
Spring 2013
Charts and Distributions
Charts
Histogram:
o
Type of Bar Chart
o
Frequency Data
Highest point represents most occurring score
o
If ascending order connect
o
If using nominal data, separate or use bar chart
o
Grouped Frequency data, l