Stat 217 – Day 23 Lab 5.

Slides:



Advertisements
Similar presentations
What is Chi Square? Chi square is a “goodness of fit” test.
Advertisements

Introducing Hypothesis Tests
Chi-Square Test Chi-square is a statistical test commonly used to compare observed data with data we would expect to obtain according to a specific hypothesis.
Lecture 3 Outline: Thurs, Sept 11 Chapters Probability model for 2-group randomized experiment Randomization test p-value Probability model for.
Statistics: Unlocking the Power of Data Lock 5 Hypothesis Testing: p-value STAT 250 Dr. Kari Lock Morgan SECTION 4.2 Randomization distribution p-value.
Hypothesis Testing: Hypotheses
John Holcomb - Cleveland State University Beth Chance, Allan Rossman, Emily Tietjen - Cal Poly State University George Cobb - Mount Holyoke College
STAT 135 LAB 14 TA: Dongmei Li. Hypothesis Testing Are the results of experimental data due to just random chance? Significance tests try to discover.
Stat 217 – Day 24 Analysis of Variance Have yesterday’s handout handy.
Inferences About Means of Two Independent Samples Chapter 11 Homework: 1, 2, 3, 4, 6, 7.
Stat 301 – Day 20 Fisher’s Exact Test. Announcements HW 4 (45 pts)  Classify variables (categorical vs. quantitative)  Round vs. truncating to produce.
Stat 512 – Lecture 12 Two sample comparisons (Ch. 7) Experiments revisited.
Inferences About Means of Two Independent Samples Chapter 11 Homework: 1, 2, 4, 6, 7.
Stat 512 – Day 5 Statistical significance with quantitative response variable.
Common Core State Standards for Mathematics Making Inferences and Justifying Conclusions S-IC Math.S-IC.5. Use data from a randomized experiment to compare.
Statistics: Unlocking the Power of Data Lock 5 Hypothesis Testing: Hypotheses STAT 101 Dr. Kari Lock Morgan SECTION 4.1 Statistical test Null and alternative.
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2015 Room 150 Harvill.
For testing significance of patterns in qualitative data Test statistic is based on counts that represent the number of items that fall in each category.
Large sample CI for μ Small sample CI for μ Large sample CI for p
Reasoning in Psychology Using Statistics
PANEL: Rethinking the First Statistics Course for Math Majors Joint Statistical Meetings, 8/11/04 Allan Rossman Beth Chance Cal Poly – San Luis Obispo.
Reasoning in Psychology Using Statistics Psychology
Statistics for Psychology CHAPTER SIXTH EDITION Statistics for Psychology, Sixth Edition Arthur Aron | Elliot J. Coups | Elaine N. Aron Copyright © 2013.
Connecting Data Analysis, Design, and Statistical Inference Daren Starnes The Lawrenceville School CMC South Oct 2015.
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Fall 2015 Room 150 Harvill.
Statistics Spring Introduction2 Wed, Aug 22, 2007 Introduction Dr. Robb T. Koether Office: Bagby 114 Office phone: Home phone:
Statistics: Unlocking the Power of Data Lock 5 Section 4.1 Introducing Hypothesis Tests.
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2016 Room 150 Harvill.
The Chi-Square Distribution  Chi-square tests for ….. goodness of fit, and independence 1.
Lecturer’s desk INTEGRATED LEARNING CENTER ILC 120 Screen Row A Row B Row C Row D Row E Row F Row G Row.
Assessing Statistical Significance ROSS 2016 Lane-Getaz.
I. CHI SQUARE ANALYSIS Statistical tool used to evaluate variation in categorical data Used to determine if variation is significant or instead, due to.
Section 9.5 Day 3.
CHAPTER 10 Comparing Two Populations or Groups
Warm-up Researchers want to cross two yellow-green tobacco plants with genetic makeup (Gg). See the Punnett square below. When the researchers perform.
Inference for the Difference Between Two Means
Comparing Two Populations or Treatments
Chi-Square X2.
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2017 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
Data Analysis for Managers
Reasoning in Psychology Using Statistics
Two-sided p-values (1.4) and Theory-based approaches (1.5)
Mutagenesis and Cancer
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Spring 2017 Room 150 Harvill Building 9:00 - 9:50 Mondays, Wednesdays.
Stat 217 – Day 7 Tests of Significance.
Stat 217 – Day 28 Review Stat 217.
Chi square.
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2016 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
When Can We Draw Conclusions?
Decision Errors and Power
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2016 Room 150 Harvill.
Introducing Hypothesis Tests
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2016 Room 150 Harvill.
Reasoning in Psychology Using Statistics
Using Simulation Methods to Introduce Inference
YOU HAVE REACHED THE FINAL OBJECTIVE OF THE COURSE
Using Simulation Methods to Introduce Inference
Reasoning in Psychology Using Statistics
Stat Introduction to Statistical Concepts and Methods
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2018 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2018 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
Animal Behavior Lab Exercise 1: General Observation of Behaviors
Reasoning in Psychology Using Statistics
Chi square.
Significance Test for a Mean
Use invNorm (2nd VARS 3) functions: Use invT (2nd VARS 4) functions:
Presentation transcript:

Stat 217 – Day 23 Lab 5

Reminder Mid-course feedback form Final Exam options

Lab 5 – Sleep Deprivation “Sleep is required for memory consolidation - the process by which experience or training is transformed into improvements in performance.”

Visual Discrimination Tasks

Stickgold, James, Hobson (2000) Investigated whether you can make up for a missed night’s sleep 60-90 minute training sessoin Group A: Sleep deprived one night, unrestricted sleep 2 nights Group B: Unrestricted sleep all 3 nights Retested after 72 hours

Statistical Significance Before we mixed up the blue and green cards and counted the number of successes randomly assigned to group A Now Assume everyone would get same score regardless of which treatment they received (null hypothesis) Put numerical score on each card Mix them up and deal them out (to represent the random chance in random assignment) See how often we observed a difference in means at least as large as the actual study