Statistics with Stiles

Slides:

Advertisements

Similar presentations

Psychology: A Modular Approach to Mind and Behavior, Tenth Edition, Dennis Coon Appendix Appendix: Behavioral Statistics.

Advertisements

Table of Contents Exit Appendix Behavioral Statistics.

Appendix A. Descriptive Statistics Statistics used to organize and summarize data in a meaningful way.

QUANTITATIVE DATA ANALYSIS

Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis.

DATA ANALYSIS I MKT525. Plan of analysis What decision must be made? What are research objectives? What do you have to know to reach those objectives?

Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.

Analysis of Research Data

The Data Analysis Plan. The Overall Data Analysis Plan Purpose: To tell a story. To construct a coherent narrative that explains findings, argues against.

Applying Science Towards Understanding Behavior in Organizations Chapters 2 & 3.

6.1 What is Statistics? Definition: Statistics – science of collecting, analyzing, and interpreting data in such a way that the conclusions can be objectively.

Statistics with Stiles. Hello Favorite Class! Write down the number of pennies I can drop into the cup at the front of the room without spilling any water.

Statistics 1 Measures of central tendency and measures of spread.

Thinking About Psychology: The Science of Mind and Behavior 2e Charles T. Blair-Broeker Randal M. Ernst.

Describing Behavior Chapter 4. Data Analysis Two basic types  Descriptive Summarizes and describes the nature and properties of the data  Inferential.

Statistics with Stiles. Hello Favorite Class! Write down the number of pennies I can drop into the cup at the front of the room without spilling any water.

Chapter 21 Basic Statistics.

TYPES OF STATISTICAL METHODS USED IN PSYCHOLOGY Statistics.

Determination of Sample Size: A Review of Statistical Theory

A way to organize data so that it has meaning!.  Descriptive - Allow us to make observations about the sample. Cannot make conclusions.  Inferential.

 Two basic types Descriptive  Describes the nature and properties of the data  Helps to organize and summarize information Inferential  Used in testing.

2 Kinds of Statistics: 1.Descriptive: listing and summarizing data in a practical and efficient way 2.Inferential: methods used to determine whether data.

Appendix B: Statistical Methods. Statistical Methods: Graphing Data Frequency distribution Histogram Frequency polygon.

Unit 2 (F): Statistics in Psychological Research: Measures of Central Tendency Mr. Debes A.P. Psychology.

BASIC STATISTICAL CONCEPTS Chapter Three. CHAPTER OBJECTIVES Scales of Measurement Measures of central tendency (mean, median, mode) Frequency distribution.

Psychology’s Statistics Psychology’s Statistics Appendix (page A1 - A13)

Experimental Methods: Statistics & Correlation

Statistics. Descriptive Statistics Organize & summarize data (ex: central tendency & variability.

Statistics. Write down the number of pennies I can drop into the cup at the front of the room without spilling any water.

A way to organize data so that it has meaning!.  Descriptive - Allow us to make observations about the sample. Cannot make conclusions.  Inferential.

HMS 320 Understanding Statistics Part 2. Quantitative Data Numbers of something…. (nominal - categorical Importance of something (ordinal - rankings)

Statistics Josée L. Jarry, Ph.D., C.Psych. Introduction to Psychology Department of Psychology University of Toronto June 9, 2003.

Chapter 6 Becoming Acquainted With Statistical Concepts.

THE ROLE OF STATISTICS IN RESEARCH. Reading APPENDIX A: Statistics pp

Psychology’s Statistics Appendix. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.

LESSON 5 - STATISTICS & RESEARCH STATISTICS – USE OF MATH TO ORGANIZE, SUMMARIZE, AND INTERPRET DATA.

Statistics. “Oh, people can come up with statistics to prove anything. 14% of people know that” Homer Simpson.

Research Methods. Define the Milgram experiment An experiment in which Milgram wanted to determine whether participants would administer painful shocks.

Welcome to MM305 Unit 2 Seminar Dr. Bob Statistical Foundations for Quantitative Analysis.

AP PSYCHOLOGY: UNIT I Introductory Psychology: Statistical Analysis The use of mathematics to organize, summarize and interpret numerical data.

 There are four basic scales of measurement. All scales of measurement fit into one of these four basic types.  Nominal Scale: uses numbers (or other.

Statistics in Forensics

Introductory Psychology: Statistical Analysis

Statistics In Research

Statistics Use of mathematics to ORGANIZE, SUMMARIZE and INTERPRET numerical data. Needed to help psychologists draw conclusions.

Business and Economics 6th Edition

Teaching Statistics in Psychology

Experimental Methods: Statistics & Correlation

Statistics in AP Psychology

Statistics: the language of psychological research

Statistical Analysis of Research

Descriptive and Inferential Statistics

Summary descriptive statistics: means and standard deviations:

Social Research Methods

Research Statistics Objective: Students will acquire knowledge related to research Statistics in order to identify how they are used to develop research.

Module 8 Statistical Reasoning in Everyday Life

Statistical Evaluation

NURS 790: Methods for Research and Evidence Based Practice

Descriptive Statistics

Psychology Statistics

Summary descriptive statistics: means and standard deviations:

Thinking About Psychology The Science of Mind and Behavior 3e

Descriptive and Inferential

Descriptive Statistics

Research Methods Chapter 2.

Lecture 4 Psyc 300A.

Business and Economics 7th Edition

Statistics & Sampling.

Presentation transcript:

Statistics with Stiles

Hello Favorite Class! Write down the number of pennies I can drop into the cup at the front of the room without spilling any water.

Intuition vs. Empiricism Intuition- understanding without apparent effort, quick and ready insight seemingly independent of previous experiences or empirical knowledge. (gut feeling) Empiricism emphasizes the role of experience and evidence .

Would anyone like to volunteer to win some money?

Envelope Demo Explained Movie scenes explain the stats problem.

Let’s Test This Statistical Strategy! Class Wide Data Gathering Demo

Descriptive vs. Inferential Summarizes a set of data, makes it easy to interpret. %, averages r = correlation coefficient Standard Deviation Inferential Allows us to make decisions or reach conclusions about data. Statistically Significant or Chance? (p < .05) The probability of an event occurring by chance is less than 5%. Statistically Significant: How likely a given result occurred by chance alone. Since we can rarely study an entire population, we study a sample of the population and by inference apply that result to the entire population. p<.05" means that the probability of an event occurring by chance is less than 5%.

Measures of Central Tendency Mode- most frequent Median- middle most Mean- average of set scores Frequency distributions-(organized list) Can be misleading, know which measure of average is being used. Positive/Negative Skew ?

Measures of Variability Range- difference in high/low Standard Deviation- square root of variance (measure of variance from the mean) Packed together or dispersed?

Using Standard Deviation to your Advantage Using Standard Deviation to your Advantage! Top 10 Rushing Leaders (2000)

Ranked Order of Rushers Who is the most consistent? Davis Who is the most erratic? Dillon

Correlations (Co-relation) r = -1.0 (strong negative correlation) ↑↓ r = +1.0 (strong positive correlation) ↑↑ or ↓↓ 0 = No Correlation Correlation coefficients help us determine the direction and strength of a relationship. Correlation does NOT imply causation!! Correlations may be used to predict!

Identify each of the scatter plots. r = -.99 r = -.7 r = 0 r = -.3 r = .5 r = .9 Scatter Plot A Scatter Plot B Scatter Plot C A = 0 B = -.3 C = .5 D = -.7 E = .9 F= -.99 Scatter Plot D Scatter Plot E Scatter Plot F