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Lecture notes - The University of Tennessee at Chattanooga
Lecture notes - The University of Tennessee at Chattanooga

t-test (1)
t-test (1)

Analysis and Presentation of Behavioral Data
Analysis and Presentation of Behavioral Data

... Now you have a frequency distribution of a very large number of differences between sample means when the null hypothesis is true. The name for this set of things is the sampling distribution of the difference between means. The sampling distribution of the difference between means is at the very he ...
JMP® Simulation-Based Empirical Determination of Robust Scale Estimator and Comparison of Outlier Discrimination Performance
JMP® Simulation-Based Empirical Determination of Robust Scale Estimator and Comparison of Outlier Discrimination Performance

... outputs to established specifications. The presence of outliers in the measured values can play havoc with these classical estimators especially for small sample sizes. Robust statistics provide an alternative approach to classical statistical estimators of location and scale. These robust estimator ...
Chapter 7 Estimation:Single Population
Chapter 7 Estimation:Single Population

sample test 1 summer 2010.tst
sample test 1 summer 2010.tst

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1342Lecture2.pdf

Slide 1
Slide 1

min 23.4 = x in 36 = x
min 23.4 = x in 36 = x

Measures of Spread: Standard Deviation
Measures of Spread: Standard Deviation

... most values in a data set fall from the mean? One way to answer this question would be to find the average deviation, or distance, that the data values fall from the mean. So we would add up the deviations to find the total deviation and then divide by the number of data values to find the mean devi ...
Statistics for Water Science: Hypothesis Testing
Statistics for Water Science: Hypothesis Testing

ANOVA
ANOVA

mean, the variance, and simple statistics
mean, the variance, and simple statistics

Mod17-A Statistics for Water Science
Mod17-A Statistics for Water Science

Measuring Skewness: A Forgotten Statistic?
Measuring Skewness: A Forgotten Statistic?

Confidence Intervals
Confidence Intervals

Univariate Normality
Univariate Normality

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Exercise 3 - OCVTS MATES-STAT
Exercise 3 - OCVTS MATES-STAT

... Exercise 4: You are running a political campaign and wish to estimate, with 95% confidence, the population proportion of registered voters who will vote for your candidate. Your estimate must be accurate within 3% of the true population proportion. Find the minimum sample size needed if a) No prelim ...
AP Stats / Topic TWO “Summarizing Distributions” Contents
AP Stats / Topic TWO “Summarizing Distributions” Contents

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1 The Gradient Statistic

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hw solutions

σ 2
σ 2

SELF TEST SEVEN: INTERVAL ESTIMATION
SELF TEST SEVEN: INTERVAL ESTIMATION

Tests of Goodness of Fit and Independencec
Tests of Goodness of Fit and Independencec

< 1 ... 56 57 58 59 60 61 62 63 64 ... 280 >

Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
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