Presenting the Results of an Independent Samples t test.

Slides:



Advertisements
Similar presentations
Small differences. Two Proportion z-Interval and z-Tests.
Advertisements

1/8 AND, OR and NOT b How many boys? b How many girls? b How many blue? b How many red?
Baker, R.B. & Kirschenbaum, D.S. (1993). Self-monitoring may be necessary for successful weight control. Behavior Therapy, 24(3),
Value on Virginity Property Schlegel. Schlegel uses HRAF Cross-cultural comparison Standard ethnographic sample Statistical correlation of cultural features.
The result shows, most of the men (about 74 %)disagree with single sex schooling, 14% each for feel neutral and agree with single sex schooling.
Comparing Two Groups’ Means or Proportions Independent Samples t-tests.
WARM – UP Is the height (in inches) of a man related to his I.Q.? The regression analysis from a sample of 26 men is shown. (Assume the assumptions for.
STAT 1301 Confidence Intervals for Averages. l we usually DON’T KNOW the population AVG l we take simple random sample of size n l find sample AVG - this.
Week 10 Comparing Two Means or Proportions. Generalising from sample IndividualsMeasurementGroupsQuestion Children aged 10 Mark in maths test Boys & girls.
COMPARING TWO POPULATIONS IDEA: Compare two groups/populations based on samples from each of them. Examples. Compare average height of men and women. Draw.
Party Competition in the Northeast Patrice LaHair, Tom Qualtere, & Gideon Grande.
Tuesday, October 22 Interval estimation. Independent samples t-test for the difference between two means. Matched samples t-test.
Competition Strong in Midwest Eli, Danny, David, and Nina.
Hypothesis testing simplified. Objective: Describe a variable - Mean, Median, Mode, Standard Deviation Examples: What is the percentage of totally satisfied.
Active Learning Lecture Slides For use with Classroom Response Systems Comparing Two Groups.
Confidence Intervals and Hypothesis Tests
Comparing Two Groups’ Means or Proportions
1. Statistics: Learning from Samples about Populations Inference 1: Confidence Intervals What does the 95% CI really mean? Inference 2: Hypothesis Tests.
Stat 100 Work Chapter 20, Try Problems 1-9 Chapter 19, Try Problems 1-7 Read Chapter 4.
Power and Sample Size Determination Anwar Ahmad. Learning Objectives Provide examples demonstrating how the margin of error, effect size and variability.
APA Style Summary Statement T Tests. IQ in Vermont The mean IQ of school children in Vermont, M = , SD = 12.98, was not significantly different.
STA291 Statistical Methods Lecture 24. Comparing Two Proportions Sample of 25, year-olds: Men: 84.9% diploma rate Women: 88.1% diploma rate Are.
Plan J and Plan W are weight loss programs 4 of the 5 women on plan J lost weight 2 of the 9 men on plan J lost weight 7 of the 9 women on plan W lost.
Sociological Investigation. Question: Is classroom learning or distance learning the best?
Chapter 9 Inferences from Two Samples Lecture 1 Sections: 9.1 – 9.2.
Sampling Distributions. Sampling Distribution Is the Theoretical probability distribution of a sample statistic Is the Theoretical probability distribution.
Introduction to Inference: Confidence Intervals and Hypothesis Testing Presentation 8 First Part.
Introduction to Inference: Confidence Intervals and Hypothesis Testing Presentation 4 First Part.
Statistical planning and Sample size determination.
Chong Ho (Alex) Yu. One-sample z-test and one-sample t-test Test the sample mean against the population mean To see whether there is a big gap between.
STATISTICAL INFERENCE PART VI HYPOTHESIS TESTING 1.
Comparing Two Proportions. AP Statistics Chap 13-2 Two Population Proportions The point estimate for the difference is p 1 – p 2 Population proportions.
Innovative Teaching Article (slides with auxiliary information: © 2014) James W. Grice Oklahoma State University Department of Psychology.
Sampling Distribution of Differences Between Means.
Chi-Square Test (χ 2 ) χ – greek symbol “chi”. Chi-Square Test (χ 2 ) When is the Chi-Square Test used? The chi-square test is used to determine whether.
Sex Roles Roles Stereotyping Sex roles Definition: how a person is expected to behave because of their gender Sex roles and economics –are there “women’s.
Week 111 Review - Sum of Normal Random Variables The weighted sum of two independent normally distributed random variables has a normal distribution. Example.
Module 25: Confidence Intervals and Hypothesis Tests for Variances for One Sample This module discusses confidence intervals and hypothesis tests.
Hypothesis test flow chart
Probability and Statistics for Engineers Huang Xin 2016 Jan 20.
Functions with R The first step is to invoke the boot library >library(boot) The boot function need the following arguments: boot(data,statistic,R,arguments.
Chapter 12 Inference for Proportions AP Statistics 12.2 – Comparing Two Population Proportions.
Fiorina Chapter 3 A 50:50 Nation? Red and Blue State People are Not That Different.
1 Section 8.4 Testing a claim about a mean (σ known) Objective For a population with mean µ (with σ known), use a sample (with a sample mean) to test a.
Income and Education Less than 9th 13,59113,32913,65813,90314,05214,21113,89414,16814,93415,09415,16615,47715,461.
SPSS Statistical Package for Social Sciences Independent Samples t-test Department of Psychology California State University Northridge
Americans Attending Worship on Easter Survey of 1,060 Americans.
STATISTICAL TESTS FOR SCIENCE FAIR PROJECTS
Americans on the Religious Expressions of Candidates
Comparing Two Proportions
Assignment: Read Chapter 20 (again!) Do Exercises 4, 6, 8, 9, 10, 15
Department of Public & International Affairs
Hypothesis Testing II: The Two-sample Case
Confidence Intervals and Hypothesis Tests for Variances for One Sample
The Skinny on High School
1. Find and Interpret the Regression line 2. Interpret the R-squared
Statistics in SPSS Lecture 7
Do you know population SD? Use Z Test Are there only 2 groups to
Therefore, the Age variable is a categorical variable.
Hypothesis Test for Independent Groups Two Proportions
WARM - UP The following represents snowfall amounts for 8 random winters in Detroit. 78” 130” 140” 120” 108” 120” 156” 101” 1. Fill in all four.
One sample compared to population
Chapter 12 Inference for Proportions
Working with Two Populations
RAILWAY ROAD ROAD RACE 1– FINISH U15 GIRLS & BOYS 1 LAP
Warm Up A 2011 paper asked a random sample of students from Stanford University to consider the following statement: “The meeting next Wednesday has been.
Assignment: Read Chapter 23 Do exercises 1, 2, 5
Additional Topics Regarding Hypothesis Testing
Chapter 22 – Comparing Two Proportions
Presentation transcript:

Presenting the Results of an Independent Samples t test

Weight Loss Those who completed Program A lost significantly more weight (M = lb, SD = 4.27, n = 6) than did those who completed Program B (M = 13.25, SD = 4.09, n = 12), t(9.71) = 4.469, p =.001, d = 2.269, 95% CI [.995, 3.50]. If you are confident that pounds is a meaning unit for your audience, you could present the effect size statistics in unstandardized units lb [4.7, 14.1].

Sex and IQ The mean IQ of girls (M = 101.8, SD = 12.7, n = 55) did not differ significantly from that of boys (M = 99.3, SD = 13.2, N = 33), t(69.7) = 0.88, p =.38, r pb =.093. Since the difference was not significant, direction of the effect was not emphasized.

Sex and Statophobia Women reported significantly more fear of the course(M = 6.55, SD = 2.16, n = 463) than did the men (M = 5.80, SD = 2.59, n = 161), t(241.3) = 3.32, p =.001, d =.33, 95% CI [.15,.51]

Red State, Blue State The mean income in states that voted for Kerry (M = $34,672, SD = 500, n = 20) was significantly higher than that of states that voted for Bush (M = $28,333, SD = 288, n = 31), t(27.2) = 5.14, p <.001, d = 1.65, 95% CI [.99, 2.29] If the audience was familiar with the dollar as a unit of income, effect size statistics could be reported in unstandardized units -- $6,339, [$3,881, $8,866].

Mean IQ was significantly higher in states that voted for Kerry (M = , SD = 1.99, n = 33) than in those that voted for Bush (M = 99.26, SD = 2.42, n = 55), t(46.1) = 2.72, p =.009, d =.75, 95% CI [.16, 1.33].