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descriptive stats
descriptive stats

Estimating a Population Mean I
Estimating a Population Mean I

The t Test for Two Independent Samples
The t Test for Two Independent Samples

Responsible Citizenship in a Technological Democracy Note 10: Statistics and Probability
Responsible Citizenship in a Technological Democracy Note 10: Statistics and Probability

To how many simultaneous hypothesis tests can normal, Student`s t
To how many simultaneous hypothesis tests can normal, Student`s t

... magnitude larger than N −1 , and the approximation errors when estimating p values need be o(αN ) only when computing (5), rather than o(N −1 ) in the FWER problem. The approximate equivalence between the set S in (5) and S0 with p̂ = NαN /#(S) has been given by Fan, Chen, Chan, Tam, and Ren (2005a) ...
1.1 Basic Equations
1.1 Basic Equations

The z Table
The z Table

Lecture 2: Descriptive Statistics and Exploratory Data Analysis
Lecture 2: Descriptive Statistics and Exploratory Data Analysis

Solutions - Department of Mathematics, University of Utah
Solutions - Department of Mathematics, University of Utah

Hypothesis Test on mu X
Hypothesis Test on mu X

Test 1 - La Sierra University
Test 1 - La Sierra University

Information Analysis Gaussian or Normal Distribution
Information Analysis Gaussian or Normal Distribution

Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad
Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad

S 2
S 2

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

Quantitative Measures
Quantitative Measures

Comparing Means … Independent Samples
Comparing Means … Independent Samples

Math 116 – 05: Test #4 (Chapters 16 – 19) Name: Spring 2013
Math 116 – 05: Test #4 (Chapters 16 – 19) Name: Spring 2013

M.Sc. in Applied Statistics Week 2 Practical, MT 2015
M.Sc. in Applied Statistics Week 2 Practical, MT 2015

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Lecture 2

... Bartlett’s test of sphericity tests null that the matrix is an identity matrix, but does not help identify individual variables that are not well correlated with others. For each variable, check R2 between it and the remaining variables. SPSS reports these as the initial communalities when you do a ...
practice final
practice final

Introduction to hypothesis testing
Introduction to hypothesis testing

Presenting data: can you follow a recipe?
Presenting data: can you follow a recipe?

Measuring Variability
Measuring Variability

... Draw a number line and plot the quartiles, the median, and the extreme values. Draw a box to show the interquartile range. Draw a segment through the median to divide the box into two smaller boxes. ...
Statistical versus Practical Significance
Statistical versus Practical Significance

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Misuse of statistics

Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
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