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Chapter 3 Numerical summaries for data
Chapter 3 Numerical summaries for data

Introduction to Statistics
Introduction to Statistics

... How can we do that? In the scientific community we are not allowed to just say, “Well clearly A is bigger than B!” Even though the results of an experiment are sometimes obvious, we have to have some kind of separate measure to indicate to anyone who looks at our results that there really is a diffe ...
Statistics 512 Notes ID
Statistics 512 Notes ID

Chapter8: Hypothesis Testing with Two Samples
Chapter8: Hypothesis Testing with Two Samples

... Reject H0. ...
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Lecture2

... Design Optimization and Robust Design allow products to be minimally sensitive to design, operating and manufacturing variation Design for Manufacturability/Process Capabilityto ensure product CTQs are met in light of manufacturing capability Validation of product performance ...
Chapter 6: Confidence Intervals
Chapter 6: Confidence Intervals

Oct.27
Oct.27

Describing Distributions with Numbers
Describing Distributions with Numbers

Detection of change in the spatiotemporal mean function
Detection of change in the spatiotemporal mean function

Overview (cont.)
Overview (cont.)

Feedback Lab 4 - Trinity College Dublin
Feedback Lab 4 - Trinity College Dublin

... the dotplot. sBoys is slightly smaller than sGirls. The ranges are almost identical. The Boys IQ are slightly higher than Girls, around 5 on average. Both samples appear to have exceptional cases at the lower end and, possibly, at the higher end. Otherwise, the dotplot suggest a typical Normal patte ...
Estimates of Population Parameters
Estimates of Population Parameters

Lecture15
Lecture15

Hypothesis Testing: Example
Hypothesis Testing: Example

A statistical investigation of the geography of cardiovascular
A statistical investigation of the geography of cardiovascular

28 - Colorado Mesa University
28 - Colorado Mesa University

Ag engineering PE review: Exam prep, III.B
Ag engineering PE review: Exam prep, III.B

Univariate Statistics - NMSU College of Business
Univariate Statistics - NMSU College of Business

Statistical handling of data in economic analysis
Statistical handling of data in economic analysis

Two Sample Problems
Two Sample Problems

... Test Statistic ...
tps5e_Ch1_3
tps5e_Ch1_3

mean 2.3
mean 2.3

UExcel® Official Content Guide for Statistics
UExcel® Official Content Guide for Statistics

Hypothesis Testing for Means Answers
Hypothesis Testing for Means Answers

Confidence Intervals - Naval Postgraduate School
Confidence Intervals - Naval Postgraduate School

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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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