'Hypothesis testing' diaporamas de présentation

Hypothesis Testing on Vacation Time: Aug, 1990 Place: Campground “Can we buy an RV?” “Why?” “Everyone else does!” “Really!?” Let us collect some data! My Favorite Recipe : Question Data Analysis Conclusion Decision Through Data! Question: “Does everyone else have RV’s?”

Chapter 8 Hypothesis Testing. 8.2 Basics of Hypothesis Testing 8.3 Testing about a Proportion p 8.4 Testing about a Mean µ ( σ known ) 8.5 Testing about a Mean µ ( σ unknown ) 8.6 Testing about a Standard Deviation σ. Section 8.2 Basics of Hypothesis Testing. Objective

School of Electrical and Computer Engineering. A Mathematical Theory of Automatic Target Recognition. Aaron D. Lanterman. (lanterma@ece.gatech.edu). What Makes ATR “Harder” than Factoring Large Numbers?. Factoring large numbers may be NP-hard, but...

PADM 7060 Quantitative Methods for Public Administration Unit 4 Chapters 11-12. Jerry Merwin. Meier, Brudney & Bohte Part IV: Inferential Statistics. Unit 4 Chapter 11: Introduction to Inference Chapter 12: Hypothesis Testing Unit 5 Chapter 13: Estimating Population Proportions

Experimentation. Variables. Variable = an aspect of events or things that differs according to the particular event or thing being considered but has a particular value for a given event or thing at a given time

4-1 Statistical Inference. The field of statistical inference consists of those methods used to make decisions or draw conclusions about a population . These methods utilize the information contained in a sample from the population in drawing conclusions.

Analysis of Variance ANOVA. Proposed Schedule Changes. • Switch lecture •No quiz – Informal (ungraded) presentation of term project ideas • Read Phadke ch. 7 --Construction Orthogonal Arrays – Quiz on ANOVA – Noise experiment due. Learning Objectives. • Introduce hypothesis testing

Hypothesis Testing – Introduction. Hypothesis: A conjecture about the distribution of some random variables. A hypothesis can be simple or composite. A simple hypothesis completely specifies the distribution. A composite does not . There are two types of hypotheses:

Thinking by Hypothesis Testing. ...when you have eliminated the impossible, whatever remains, however improbable, must be the truth. - Sherlock Holmes / Arthur Conan Doyle. Thinking by Hypothesis Testing.

Socio-cultural Context of research. Research takes place in a particular time in history and in a particular culture Can not avoid this problem of the research context. Can influences topics of research Problem when it is not recognised e.g lack of cross-cultural equivalence

Chapter 8 Hypothesis Testing. Section 8-2. Steps in Hypothesis Testing – Traditional Method. Example 1. Section 8-2 Exercise #12b. Using the z table find the critical value (or values). Left tail. Section 8-2 Exercise #12g. Using the z table find the critical value (or values).

Hypothesis Testing and Results Interpretation. By Minjuan Wang ED 690 Educational Technology. Types of Hypothesis. Null hypothesis There is no change, difference or relationship between A and B A starting point or a benchmark

INF397C Introduction to Research in Information Studies Spring, 2005 Day 12. Context. Where we’ve been: Descriptive statistics Frequency distributions, graphs Types of scales Probability Measures of central tendency and spread z scores Experimental design The scientific method

Social Research Methods: MAN-10 Erlan Bakiev, Ph. D. Chapter 6: Strategies of Research Design. Triangulation. Triangulation of measures Triangulation of observers Triangulation of theory Triangulation of method. Qualitative and Quantitative Orientations. Nature of Data

Interpreting Summary Output from Excel. Interpreting Summary Output from Excel. Regression Statistics. Multiple R. 0.540656024. Multiple R: The correlation between Y i and Ŷ i is 54.1%. Interpreting Summary Output from Excel. Regression Statistics. Multiple R. 0.540656024. R Square.

Statistics fun and exciting Workshop. What’s going to be covered. Diagrams Data Summary and Presentation Binomial distribution Engineering/Statistics Toolbox Z-test Type 2 Error T-test C 2 Test. Dot Diagram. Box Plot. Q 3. Q 2. Q 1. x = 1550. IQR. 1.5 IQR. 1050. 1.5 IQR. 1070.

Chapter 7. Hypothesis Testing with One Sample. Chapter Outline. 7.1 Introduction to Hypothesis Testing 7.2 Hypothesis Testing for the Mean (Large Samples) 7.3 Hypothesis Testing for the Mean (Small Samples) 7.4 Hypothesis Testing for Proportions

χ 2 and Goodness of Fit. Louis Lyons Oxford. SLUO Lecture 3, February 2007. Least squares best fit Resume of straight line Correlated errors Errors in x and in y Goodness of fit with χ 2 Errors of first and second kind Kinematic fitting

Chapter 17. Hypothesis Testing. Learning Objectives. Understand . . . The nature and logic of hypothesis testing. A statistically significant difference The six-step hypothesis testing procedure. Learning Objectives. Understand . . .

Lecture 14: Introduction to Logistic Regression. BMTRY 701 Biostatistical Methods II. Binary outcomes. Linear regression is appropriate for continuous outcomes in biomedical research, our outcomes are more commonly of different forms Binary is probably the most prevalent