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Lecture Notes
Lecture Notes

Module Evaluation Report
Module Evaluation Report

... 5.1 Probability distributions of continuous random variables A random variable X is called continuous if it can assume any of the possible values in some interval i.e. the number of possible values are infinite. In this case the definition of a discrete random variable (list of possible values with ...
class notes
class notes

Data Description, Populations and the Normal Distribution
Data Description, Populations and the Normal Distribution

Differential Privacy for Social Science Inference
Differential Privacy for Social Science Inference



Mind on Statistics Test Bank
Mind on Statistics Test Bank

Lecture 18
Lecture 18

Lecture 18 Handout Format
Lecture 18 Handout Format

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Question from Case Studies

Confidence Intervals - McMaster University, Canada
Confidence Intervals - McMaster University, Canada

Chapter 9 Estimating the Value of a Parameter Chapter 9.1
Chapter 9 Estimating the Value of a Parameter Chapter 9.1

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Units 3 and 4 Further Maths

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Direct Estimation of Confidence Intervals for Proportion by Means of

Chapter 8: Populations, Samples, and Probability
Chapter 8: Populations, Samples, and Probability

... 1. Assuming alpha was set equal to .05, change in task performance was the only variable for which the difference was statistically significant. If alpha had been set at .10, the change in heart rate would also have been statistically significant, and in the article, the authors do indicate that hea ...
Math 227_Sullivan 4th ed Ans Key
Math 227_Sullivan 4th ed Ans Key

... Example 2: In a Gallup poll conducted in October 2010, 64% of the people polled answered "more strict" to the following question: "Do you feel that the laws covering the sale of firearms should be made more strict as they are now?" Suppose the margin of error in the poll was 3.5% and the estimate w ...
Ch. 7
Ch. 7

Statistics and the Treatment of Experimental Data
Statistics and the Treatment of Experimental Data

Lesson Plan: Are You Career Ready?
Lesson Plan: Are You Career Ready?

... differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points. Create the following scenario: You have been offered a job as a server at both of these restaurants, but may only choose one. Which job would you choose?. Evaluate attitu ...
Chapter 1: Statistics
Chapter 1: Statistics

... actual digits that make up the data values. Each numerical data is divided into two parts: The leading digit(s) becomes the stem, and the trailing digit(s) becomes the leaf. The stems are located along the main axis, and a leaf for each piece of data is located so as to display the distribution of t ...
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10.2

z - Mater Academy Charter Middle/ High
z - Mater Academy Charter Middle/ High

One-way ANOVA - USU Math/Stat
One-way ANOVA - USU Math/Stat

Appendix B Concepts in Statistics Line Plots Stem-and
Appendix B Concepts in Statistics Line Plots Stem-and

Skew-normality for climatic data and dispersal models for plant
Skew-normality for climatic data and dispersal models for plant

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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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