# 'Critical values' presentation slideshows

## 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

By Solomon
(191 views)

## 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

By Angelica
(323 views)

## Drosophila Lab: Exploring Genetics

Drosophila Lab: Exploring Genetics. AP recommended lab. Two Tasks to Complete. Pre-lab Questions from 12 Recomm. Labs (link from my website) Computer Simulated Lab: “Gene Pool” drive ***Answer Questions on a separate paper. To Access the Lab Simulation for Drosophila.

By ostinmannual
(265 views)

## T TEST

T TEST. DEFINITION OF TERMS. T – Test – the statistical test for comparing a mean with a norm or for comparing two means with small sample sizes (n≤30). Formula: __ X - µ

By Albert_Lan
(204 views)

## 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.

By coyne
(298 views)

## 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:.

By yamal
(2350 views)

## 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.

By clara
(240 views)

## 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

By stuart
(259 views)

## 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.

By jessie
(228 views)

## 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.

By demi
(789 views)

## 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)

By creola
(579 views)

## One Tailed Tests

One Tailed Tests. Here we study the hypothesis test for the mean of a population when the alternative hypothesis is an inequality. Let’s follow an example and then highlight some main points about hypothesis testing.

By stevie
(176 views)

## One Tailed Tests

One Tailed Tests. Here we study the hypothesis test for the mean of a population when the alternative hypothesis is an inequality. Let’s follow an example and then highlight some main points about hypothesis testing.

By stormy
(132 views)

## 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.

By elom
(335 views)

## 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.

By eileen
(92 views)

## 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.

By lilli
(274 views)

## 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

By brita
(71 views)

## 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.

By gaetano
(296 views)

## Correlation and Regression

Chapter 9. Correlation and Regression. Correlation. § 9.1. y. 2. x. 2. 4. 6. – 2. – 4. Correlation.

By mai
(102 views)

## Quiz 8

Quiz 8. Hypothesis testing Comparing two samples. 1. Given two samples of size 35 with normally distributed data and unknown population SDs which statistical distribution should be used to test sample mean differences?. a) binomial b) Student’s t c) standard normal d) chi-squared.

By cecelia
(177 views)

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