Trial Group AGroup B 12045 22350 32342 42340 52530 62056 73053 82441 92345 102650 112550 122041 Mean23.545.3 P value 2.8E-07 Means of Substances Group.

Slides:



Advertisements
Similar presentations
There are two statistical tests for mean: 1) z test – Used for large samples (n ≥ 30) 1) t test – Used for small samples (n < 30)
Advertisements

Class 14 Testing Hypotheses about Means Paired samples 10.3 p
Essentials of Applied Quantitative Methods for Health Services Managers Class Slides.
The Addition and Resolution of Vectors: The Force Table TLSAMP 2005.
S519 Statistical Sessions Wrap up. Things we’ve covered Descriptive Statistics Normal Distributions Z-test Hypothesis Testing T-test ANOVA Correlation.
Section 9.3 Inferences About Two Means (Independent)
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
1 Matched Samples The paired t test. 2 Sometimes in a statistical setting we will have information about the same person at different points in time.
QUANTITATIVE DATA ANALYSIS
Tests of significance Confidence intervals are used when the goal of our analysis is to estimate an unknown parameter in the population. A second goal.
UNDERSTANDING RESEARCH RESULTS: STATISTICAL INFERENCE.
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
The Simple Regression Model
Lecture 13: Review One-Sample z-test and One-Sample t-test 2011, 11, 1.
Independent t-Test CJ 526 Statistical Analysis in Criminal Justice.
S519: Evaluation of Information Systems
 What is t test  Types of t test  TTEST function  T-test ToolPak 2.
Business Statistics BU305 Chapter 3 Descriptive Stats: Numerical Methods.
15-1 Introduction Most of the hypothesis-testing and confidence interval procedures discussed in previous chapters are based on the assumption that.
In-Patient Costs for Neurological Disorders By Katherine Ammon.
Hypothesis Testing Using The One-Sample t-Test
Constant Dosage day 7 Apigenin Control. Weight Adjusted Dosage Control Apigenin.
Stats & Excel Crash Course Jim & Sam April 8, 2014.
Two Sample Tests Ho Ho Ha Ha TEST FOR EQUAL VARIANCES
Things that I think are important Chapter 1 Bar graphs, histograms Outliers Mean, median, mode, quartiles of data Variance and standard deviation of.
Statistical Analysis Statistical Analysis
Copyright © Cengage Learning. All rights reserved. 13 Linear Correlation and Regression Analysis.
T-distribution & comparison of means Z as test statistic Use a Z-statistic only if you know the population standard deviation (σ). Z-statistic converts.
Statistics. Intro to statistics Presentations More on who to do qualitative analysis Tututorial time.
Go to Index Analysis of Means Farrokh Alemi, Ph.D. Kashif Haqqi M.D.
Chapter 9 Hypothesis Testing and Estimation for Two Population Parameters.
Chapter 9 Part C. III. One-Tailed Tests B. P-values Using p-values is another approach to conducting a hypothesis test, yielding the same result. In general:
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 11 Inferences About Population Variances n Inference about a Population Variance n.
Hypothesis Testing CSCE 587.
User Study Evaluation Human-Computer Interaction.
Examples for the midterm. data = {4,3,6,3,9,6,3,2,6,9} Example 1 Mode = Median = Mean = Standard deviation = Variance = Z scores =
S519: Evaluation of Information Systems Social Statistics Inferential Statistics Chapter 10: t test.
Describing Behavior Chapter 4. Data Analysis Two basic types  Descriptive Summarizes and describes the nature and properties of the data  Inferential.
Inferential statistics. Why statistics are important Statistics are concerned with difference – how much does one feature of an environment differ.
Hypothesis Testing Using the Two-Sample t-Test
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Class 23 The most over-rated statistic The four assumptions The most Important hypothesis test yet Using yes/no variables in regressions.
Exam2 A learning experience….. Scores Raw Scores went from 68 to 147 As percentage of total….40% to 86% Scaled scores went from 60.5 to 100 Some still.
Determination of Sample Size: A Review of Statistical Theory
Testing Means with small samples Critical Value from the T-table –Use the one-tail heading for left or right tail Make negative for left-tail –Use the.
Photos Belize Experience
Lesson 15 - R Chapter 15 Review. Objectives Summarize the chapter Define the vocabulary used Complete all objectives Successfully answer any of the review.
Construction Engineering 221 Sampling and Mean Comparison.
Chapter Twelve The Two-Sample t-Test. Copyright © Houghton Mifflin Company. All rights reserved.Chapter is the mean of the first sample is the.
Three Broad Purposes of Quantitative Research 1. Description 2. Theory Testing 3. Theory Generation.
STATISTICS FOR SCIENCE RESEARCH (The Basics). Why Stats? Scientists analyze data collected in an experiment to look for patterns or relationships among.
Business Statistics, 4e, by Ken Black. © 2003 John Wiley & Sons Business Statistics, 4e by Ken Black Chapter 10 Statistical Inferences about Two.
Testing Hypotheses II Lesson 10. A Directional Hypothesis (1-tailed) n Does reading to young children increase IQ scores?  = 100,  = 15, n = 25 l sample.
Section 8-6 Testing a Claim about a Standard Deviation or Variance.
Copyright © 2013 Pearson Education, Inc. All rights reserved Chapter 8 Inferences Based on a Single Sample Tests of Hypothesis.
Chapter Eleven Performing the One-Sample t-Test and Testing Correlation.
Inquiry 1 proposals were/are due in lab Th 9/9 or M 9/13 Homework #1 in lab Today: Mean, Median, Mode, T-test xkcd.com.
Lecture 8 Estimation and Hypothesis Testing for Two Population Parameters.
S519: Evaluation of Information Systems Social Statistics Inferential Statistics Chapter 9: t test.
Course Extra for Part II. Quizzes  Any questions from the quizzes?
Marshall University School of Medicine Department of Biochemistry and Microbiology BMS 617 Lecture 16 : Summary Marshall University Genomics Core Facility.
When the means of two groups are to be compared (where each group consists of subjects that are not related) then the excel two-sample t-test procedure.
Statistical Measures M M O D E E A D N I A R A N G E.
STATISTICS FOR SCIENCE RESEARCH
Analysis of Financials of ITC ltd.
European Euro EUR- Group One
حــزمة ادوات التحليل Analysis ToolPak
Statistics 1: Introduction to Probability and Statistics
Experimental Design Data Normal Distribution
No. 8, doi: /education Table 9. t-Test Analysis Based on Average Quiz Scores from Last Six Quizzes t-Test: Two-Sample Assuming Unequal.
Presentation transcript:

Trial Group AGroup B Mean P value 2.8E-07 Means of Substances Group AGroup B Raw Data Averages

t-Test: Paired Two Sample for Means Group A Group B Mean Variance Observations Pearson Correlation0.11 Hypothesized Mean Difference 0.00 df11.00 t Stat P(T<=t) one-tail t Critical one-tail1.80 P(T<=t) two-tail t Critical two-tail2.20 P(T<=t) two-tail0.00 t Critical two-tail2.20 P value 2.8E-07 Means of Substances Group AGroup B Your P-value is the same as P one tail on your T test

Descriptive Statistics Substance B Mean45.25 Standard Error Median45 Mode50 Standard Deviation Sample Variance Range26 Minimum30 Maximum56 Sum543 Count12 Confidence Level(95.0%) Descriptive Statistics Substance A Mean23.5 Standard Error Median23 Mode23 Standard Deviation Sample Variance Range10 Minimum20 Maximum30 Sum282 Count12 Confidence Level(95.0%)