'Critical values' presentation slideshows

Correlation and Regression

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Major Points

Major Points. Formal Tests of Mean Differences Review of Concepts: Means, Standard Deviations, Standard Errors, Type I errors New Concepts: One and Two Tailed Tests Significance of Differences . Important Concepts. Concepts critical to hypothesis testing Decision Type I error

679 views • 30 slides

6.2 Confidence Intervals for the Mean (Small Samples)

6.2 Confidence Intervals for the Mean (Small Samples). Statistics Mrs. Spitz Spring 2009. Objectives/Assignment. How to interpret the t-distribution and use a t-distribution table How to construct confidence intervals when n < 30 and ? is unknown Assignment: pp. 271-273 #1-26.

1.19k views • 28 slides

Lecture Slides

Lecture Slides. Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola. Chapter 9 Inferences from Two Samples. 9-1 Review and Preview 9-2 Two Proportions 9-3 Two Means: Independent Samples 9-4 Two Dependent Samples (Matched Pairs)

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8.2 Testing the Difference Between Means (Small, Independent Samples)

8.2 Testing the Difference Between Means (Small, Independent Samples). Statistics Mrs. Spitz Spring 2009. Objectives/Assignment. How to perform a t-test for the difference between two population means, ? 1 and ? 2 using small independent samples. Assignment: pp. 384-388 #1-24 all.

662 views • 23 slides

From Unit Root To Cointegration

From Unit Root To Cointegration. Putting Economics into Econometrics. Many (perhaps most) macroeconomic variables are non stationary Many of these are difference stationary, I(1), variables. Economics - many variables have stable long-run relationships. Consumption - Income

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NEED TO GO BACK TO CLT - LECTURE 4 Hypothesis Testing in the Multiple regression model

NEED TO GO BACK TO CLT - LECTURE 4 Hypothesis Testing in the Multiple regression model. Testing that individual coefficients take a specific value such as zero or some other value is done in exactly the same way as with the simple two variable regression model.

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8.2 Testing the Difference Between Means (Small, Independent Samples)

8.2 Testing the Difference Between Means (Small, Independent Samples). Statistics Mrs. Spitz Spring 2009. Objectives/Assignment. How to perform a t-test for the difference between two population means, ? 1 and ? 2 using small independent samples. Assignment: pp. 384-388 #1-24 all.

643 views • 23 slides

T TEST

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Applications of Derivatives

Applications of Derivatives. Curve Sketching. What the First Derivative Tells Us:. Suppose that a function f has a derivative at every point x of an interval I. Then:. What This Means:.

8.4k views • 19 slides

Chapter 10: The t Test For Two Independent Samples

Chapter 10: The t Test For Two Independent Samples. Independent-Measures Designs. The independent-measures hypothesis test allows researchers to evaluate the mean difference between two populations using the data from two separate samples.

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Chi-square and F Distributions

Chi-square and F Distributions. Children of the Normal. Distributions. There are many theoretical distributions, both continuous and discrete. We use 4 of these a lot: z (unit normal), t, chi-square, and F.

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One Tailed Tests

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One Tailed Tests

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Non-parametric tests

Non-parametric tests. Note: When valid use parametric Commonly used Wilcoxon Chi square etc. Performance comparable to parametric Useful for non-normal data If normalization not possible Note: CI derivation-difficult/impossible. Wilcoxon signed rank test.

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Drosophila Lab: Exploring Genetics

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Notes Over 2.2

Notes Over 2.2 1 3 5 8 7 Identifying Functions - Numerically Decide whether the relation is a function. 1. Input Output A function , because every input goes to only one output Not a function , because 4 goes to both 3 and 5

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The Chi-Square Distribution and Test for Independence

The Chi-Square Distribution and Test for Independence. Hypothesis testing between two or more categorical variables. Agenda. Wrapping up the t-test program example Chi-Square and Chi-Square test of independence. Chi-Square Distribution.

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More Regression Information

More Regression Information. On the previous slide I have an Excel regression output. The example is the pizza sales we saw before. The first thing I look at is the coefficients. See cell b28 has the word coefficient. We take the information below and write the equation as

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Quiz 8

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