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Confidence Intervals, Hypothesis Testing
Confidence Intervals, Hypothesis Testing

... Example 1 You manage a large educational nonprofit and are trying to estimate the amount of deductions your teachers apply for in order to comment to the media (you can write off $250 for supplies annually on your federal tax return). Your assistant randomly samples 50 employees . The mean write-of ...
basic data analysis
basic data analysis

AP Statistics Exam Information
AP Statistics Exam Information

Mini – Statistics Preparation Course For OPRE 202 and OPRE 504
Mini – Statistics Preparation Course For OPRE 202 and OPRE 504

statistics - summary - Michigan State University
statistics - summary - Michigan State University

... is a 5% chance of incorrectly rejecting the null hypothesis when it is true. For stricter test, use 99% confidence level and look for SIG's <.01. Weaker, use 90% , SIG's < .10. iii.. On computer output look for the SIGnificance or PROBability associated with the test. The F, T, Chi-square, etc are t ...
Descriptve.s02
Descriptve.s02

... data that have been arranged in ascending or descending numerical ...
Test for proportions
Test for proportions

File - Mrs. Badr`s Class
File - Mrs. Badr`s Class

... ~symmetric is not the same as “equally” or “uniformly” distributed ~do not say that a distribution “is normal” just because it looks symmetric and unimodal Treat the word “normal” as a “four-letter word.” You should only use it if you are really sure that it’s appropriate in the given situation When ...
Review for AP Exam and Final Exam
Review for AP Exam and Final Exam

... Mr. Brown suspects that the class RPMT scores will be unusually low because the test was interrupted by a fire drill. He wants to find the level L such that there is only a probability of 0.05 that the mean score of his class fall below L. What is this value of L. ...
SHW10 - public.asu.edu
SHW10 - public.asu.edu

... children. This test is normally distributed with a population mean of 60 and a population standard deviation of 10. You want to test the null hypothesis that only children develop vocabulary at a faster rate than children in general. The researcher draws a sample of 25 only children and the mean tes ...
Descriptive Statistics
Descriptive Statistics

Lab 6
Lab 6

NRM 340 – Exam #1
NRM 340 – Exam #1

... 6. If the standard deviation of a sample of 36 leaf areas is 4 cm squared calculate the standard error of the mean. ...
Handout - uf statistics
Handout - uf statistics

Ch. 4: Average & Standard Deviation
Ch. 4: Average & Standard Deviation

... average. – Roughly 68% of data are within 1 SD of the average. – Roughly 95% of data are within 2 SD’s of the average. – These 2 statements are true most of the time ...
2.5 Measures of Position
2.5 Measures of Position

Unit 7: Confidence Intervals for a Population Mean (σ known)
Unit 7: Confidence Intervals for a Population Mean (σ known)

Functions on EXCEL
Functions on EXCEL

... Report: Returns the one-tailed probability of the chi-squared distribution. The χ2 distribution is associated with a χ2 test. Use the χ2 test to compare observed and expected values. For example, a genetic experiment might hypothesize that the next generation of plants will exhibit a certain set of ...
File
File

File
File

... The most important thing to remember with a randomized distribution is that the distribution needs to be centered at the value you have in the null hypothesis. This is easily changed. For this example, let’s say we want to test if the sale price of New York homes is greater than 280 (thousand) doll ...
Introduction to Biostatistics (ZJU, 2008)
Introduction to Biostatistics (ZJU, 2008)

File
File

statistics - Daytona State College
statistics - Daytona State College

14.0 Hypothesis Testing
14.0 Hypothesis Testing

example - JustAnswer
example - JustAnswer

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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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