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Lecture 8 (May 29, June 5)
Lecture 8 (May 29, June 5)

Document
Document

... • With large samples, statistically significant results could be found even if the size of the absolute effects are so small that they are of no clinical interest. • The fact that no significant results were found, does not mean that no difference exists. Perhaps the study had to low power to detect ...
Hypothesis Testing: Two Means, Paired Data, Two Proportions
Hypothesis Testing: Two Means, Paired Data, Two Proportions

Descriptive Data Summarization
Descriptive Data Summarization

Matched pairs (“paired” or “dependent” samples) t-tests - BYU
Matched pairs (“paired” or “dependent” samples) t-tests - BYU

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No Slide Title

ExtraExercise from the book - Center for Statistical Sciences
ExtraExercise from the book - Center for Statistical Sciences

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msv-33

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Homework 3 (Chapter 10

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ANOVA - EDRS6208

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PPT

5.1 Introduction # of successes # of trials 5.2 Part 1
5.1 Introduction # of successes # of trials 5.2 Part 1

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3/11/00 252chisq

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Chapter 7 Section 1

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Exam 3 study guide

normalMarch2006
normalMarch2006

... We assume here that the population may be modelled using a normal distribution with unknown mean  but known variance 2 For example, suppose one wants to investigate IQ of students at StAndrews. As you cannot study the whole population, you need to measure the IQ’s of a random sample of students. I ...
Document
Document

... Example problem, class data: A two-tailed hypothesis test: A researcher claims that Stanford affiliates eat fewer than the recommended intake of 5 fruits and vegetables per week. We have data to address this claim: 22 people in the class provided data on their daily fruit and vegetable intake. Do w ...
Bivariate Regression Analysis
Bivariate Regression Analysis

File
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... During the first quarter, Mr. Pines was planning on giving out on average about 20 baseball cards per student. After surveying 25 students at random there were actually about 32 cards per student given out. A Parameter is the number that goes with the population,the number that we are expecting from ...
Basic Statistical Models - CIS @ Temple University
Basic Statistical Models - CIS @ Temple University

1. Why Conduct an Experiment?
1. Why Conduct an Experiment?

... Yosemite suspects that the pistol is not delivering its rated output of 10 megatons/shot. He has decided to keep the pistol only if the output is over 10 megatons/shot. He takes a random sample of 100 shots and records the outputs. What null and alternative hypotheses should Yosemite use to make the ...
Sampling from a population of “0”s and “1”s
Sampling from a population of “0”s and “1”s

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Lecture1

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Confidence intervals

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Confidence Interval

... Is symmetric about the mean. The mean, median, and mode are equal to 0 and are located at the center of the distribution. Curve never touches the x-axis. Variance is greater than 1. As sample size increases, the t distribution approaches the standard normal distribution. Has n-1 degrees of freedom. ...
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Resampling (statistics)

In statistics, resampling is any of a variety of methods for doing one of the following: Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknifing) or drawing randomly with replacement from a set of data points (bootstrapping) Exchanging labels on data points when performing significance tests (permutation tests, also called exact tests, randomization tests, or re-randomization tests) Validating models by using random subsets (bootstrapping, cross validation)Common resampling techniques include bootstrapping, jackknifing and permutation tests.
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