'Alpha level' presentation slideshows

AP Statistics Review

AP Statistics Review. Inference for Means and Errors. Stoney Pryor. Husband for 17 years, father of 3 Teacher in CSISD for 18 years Taught AP Statistics since 1998 About 110 in 4 sections last year, only 6 sophomores this year.

1.08k views • 79 slides

Joel Mefford meffordj@humgen.ucsf.edu

Methods to improve study accuracy and precision of estimates. Joel Mefford meffordj@humgen.ucsf.edu. 02/08/2013. Precision and Statistics. RGL Chapter 10. Example: Validity and Precision.

745 views • 63 slides

Factorial ANOVA

709 views • 38 slides

Review of T-tests

458 views • 34 slides

Statistical Evaluation of Data

Statistical Evaluation of Data. Chapter 14 George S. Robinson, Jr., Ph.D. Department of Psychology North Carolina A&T State University. Two General Categories of Statistical Techniques. Descriptive statistics

1.64k views • 32 slides

Hypothesis Testing I, The One-Sample Case

Hypothesis Testing I, The One-Sample Case. Hypothesis Testing. Also called significance testing Need to decide if a sample is like a population for a particular variable Will be trying to find if the sample is different from the population

641 views • 31 slides

Valuing Older Persons

409 views • 31 slides

Information and Communication Technology Literacy Issues in Higher Education

Li-Jen Yu Shannon, Ed.D . Sam Houston State University ISECON November 3, 2007 . Information and Communication Technology Literacy Issues in Higher Education. STATEMENT OF THE PROBLEM. Computer wizard generation

450 views • 31 slides

Chapter 9 Differences Among Groups

Chapter 9 Differences Among Groups. Purpose and Protocol of the Statistical Test

432 views • 24 slides

M. G. Wagner 1 , K. Hert 1 , L. Myers 1 , J. Levine 2 , T. Heck 1 , Y. Rhee 1

E ffectiveness of Nutrition Education and Fruit and Vegetable Consumption on Changes in Biomarkers of Inflammation and Oxidative Stress among Overweight and Obese Adults. M. G. Wagner 1 , K. Hert 1 , L. Myers 1 , J. Levine 2 , T. Heck 1 , Y. Rhee 1

378 views • 23 slides

334 views • 23 slides

Statistics (AKA: Sadistics) Made Easy

Statistics (AKA: Sadistics) Made Easy. by Donna L. Agan, EdD. Show of Hands. Who is doing a study that involves statistical analysis of data? What type of (quantitative) data are you collecting?

558 views • 20 slides

Difference Between Means

Difference Between Means. Learning Objectives. In this chapter you will learn about the t-test and its distribution t-test for related samples t-test for independent samples hypothesis testing how to use SPSS to test for differences between means. t Distribution.

376 views • 20 slides

The t Test for Two Related Samples

The t Test for Two Related Samples. Repeated-Measures Design. Repeated Measures Design. Repeated-measures design/ within-subject design is one in which a single sample of individuals is measured more than once on the same dependent variable.

902 views • 16 slides

TESTING PHILOSOPHY

334 views • 15 slides

Review

328 views • 12 slides

Inferential Statistics

228 views • 11 slides

The important assumptions for using the t -test

The important assumptions for using the t -test. S-012 Helpful advice for assignment 3. Assumptions. These are called assumptions, but these are not things that we should assume are always true.

254 views • 11 slides

Significance Testing

Significance Testing. Difference between two means. Review. What does significance mean? Why do we use the symbol P<.05 to indicate significance?. Defining significance. An event is very unlikely to have happened by chance IF the null hypothesis is true. .

322 views • 9 slides

Point Biserial Correlation Example

Point Biserial Correlation Example. A researcher wishes to determine if a significant relationship exists between the gender of the worker and if they experience pain while performing an electronics assembly task.

1.54k views • 8 slides