Lab 1 Issues Basic Statistical Issues R Issues

Slides:



Advertisements
Similar presentations
Chapter 9 Introduction to the t-statistic
Advertisements

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)
Partly based on material by Sherry O’Sullivan
Using t-tests Basic introduction and 1-sample t-tests Statistics for the Social Sciences Psychology 340 Spring 2010.
Topics Today: Case I: t-test single mean: Does a particular sample belong to a hypothesized population? Thursday: Case II: t-test independent means: Are.
Inferences About Means of Single Samples Chapter 10 Homework: 1-6.
1 SOC 3811 Basic Social Statistics. 2 Announcements  Assignment 2 Revisions (interpretation of measures of central tendency and dispersion) — due next.
Independent Sample T-test Often used with experimental designs N subjects are randomly assigned to two groups (Control * Treatment). After treatment, the.
Independent Sample T-test Classical design used in psychology/medicine N subjects are randomly assigned to two groups (Control * Treatment). After treatment,
Hypothesis Testing :The Difference between two population mean :
INFERENTIAL STATISTICS – Samples are only estimates of the population – Sample statistics will be slightly off from the true values of its population’s.
© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Statistical Techniques I EXST7005 Review. Objectives n Develop an understanding and appreciation of Statistical Inference - particularly Hypothesis testing.
1.
Statistical Analysis Mean, Standard deviation, Standard deviation of the sample means, t-test.
Statistics in Biology. Histogram Shows continuous data – Data within a particular range.
Determination of Sample Size: A Review of Statistical Theory
Statistics for Psychology!
: An alternative representation of level of significance. - normal distribution applies. - α level of significance (e.g. 5% in two tails) determines the.
7.5 Hypothesis Testing for Variance and Standard Deviation Key Concepts: –The Chi-Square Distribution –Critical Values and Rejection Regions –Chi-Square.
1 UNIT 13: DATA ANALYSIS. 2 A. Editing, Coding and Computer Entry Editing in field i.e after completion of each interview/questionnaire. Editing again.
Education 793 Class Notes Inference and Hypothesis Testing Using the Normal Distribution 8 October 2003.
Hypothesis Testing and Statistical Significance
Prof. Robert Martin Southeastern Louisiana University.
PCB 3043L - General Ecology Data Analysis Organizing an ecological study What is the aim of the study? What is the main question being asked? What are.
A QUANTITATIVE RESEARCH PROJECT -
Unit 8 Section 7.4.
Chapter 9 Hypothesis Testing.
Introduction to Hypothesis Test – Part 2
Unit 8 Section 7.5.
Why the Normal Distribution is Important
Sampling distribution
Hypothesis Testing with the t-Distribution
Confidence Intervals and Hypothesis Tests for Variances for One Sample
Understanding Results
Chapter 8 Hypothesis Testing with Two Samples.
Consolidation & Review
Statistics for Psychology
Inference Key Questions
Chapter 7 Sampling Distributions.
STA 291 Spring 2008 Lecture 19 Dustin Lueker.
Hypothesis Tests for a Population Mean in Practice
Confidence Interval (CI) for the Mean When σ Is Known
CI for μ When σ is Unknown
Inferences on Two Samples Summary
Review: What influences confidence intervals?
Confidence Intervals Chapter 10 Section 1.
Hypothesis Testing.
Ch. 9 examples.
Work Schedule Methodological Issues Variables Constant
Wrap-up and Course Review
CHAPTER 15 SUMMARY Chapter Specifics
Psych 231: Research Methods in Psychology
Elementary Statistics: Picturing The World
Use the graph of the given normal distribution to identify μ and σ.
Lecture 10/24/ Tests of Significance
Comparing Two Populations
CHAPTER 12 Inference for Proportions
CHAPTER 12 Inference for Proportions
What are their purposes? What kinds?
Chapter 8 Making Sense of Statistical Significance: Effect Size, Decision Errors, and Statistical Power.
Hypothesis Testing and Confidence Intervals
Estimating a Population Mean
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Reasoning in Psychology Using Statistics
Statistical Inference for the Mean: t-test
Statistics Review (It’s not so scary).
How Confident Are You?.
Testing Claims about a Population Standard Deviation
Presentation transcript:

Lab 1 Issues Basic Statistical Issues R Issues Inappropriate measures of central tendency & dispersion for particular variable scales R Issues Some parts of the lab not done, e.g., didn’t make tables Code incorrect

Concept Review Week 1 Week 2 Week 3 Week 4 Data, variables Variable scales Hypotheses Populations, samples Week 2 Research Proposals Data visualizations Operationalizing your variables, validity and reliability Week 3 Sample representativeness and sampling strategies Central tendency and dispersion Week 4 Independence of variables Probability, empirical and theoretical determination The normal distribution

Hypothesis Testing: review Z = -1.96 Z = +1.96 You already know two methods to test H0: Yi = µ Calculate probability associated with particular Z score (or higher), if p < 0.05 reject H0 Compare particular Z score to a critical value such as 1.96 (for α of .05). Difficult to do this for lots of Yi

Hypothesis Testing: Confidence Limits Confidence limits define the empirical values outside of which we reject H0 Using our statistical population of monkey teeth pits: µ = 31, σ = 9 for 95% CL L = µ ± (1.96 x σ) L1 = 31 – (1.96 x 9) = 13.36 L2 = 31 + (1.96 x 9) = 48.64 Can compare any number of new Yi using 95% CL to test H0: Yi = µ 13.36 pits 48.64 pits

Hypothesis Testing: Sample Means µ σ = 1.5 Three methods to compare variates to population mean (H0: Yi = µ) H0: Yi = Y H0: Y = µ H0: Yi = Y2 15 samples of 3 flakes 20 samples of 10 flakes 30 samples of 20 flakes = = = Y = 3.1 Y = 3.1 Y = 3.0

Hypothesis Testing: Sample Means .87 Standard deviation: Standard error: σ = s = σY = .34 σY = σY = .27

Hypothesis Testing: Sample Means Three ways to test this Calculate 95% confidence limits for µ L = µ ± (1.96 x σY ) 7 + (1.96 x 2.3/√25) = 7.90 mm 7 - (1.96 x 2.3/√25) = 6.10 mm Calculate a Z-score/Probability Z = (6.2-7) / (2.3/√25) = - 1.74 Fail to reject H0 based on Z score ? 100s of storage pots across large site 25 pots in a room, is their Ythick different from pot population at the site? µ = 7, σ = 2.3; Ythick =6.2