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Probability theory

Standard Deviation

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The Standard Deviation is a measure of how spread out numbers are. Its symbol is???(the greek letter sigma) The formula is easy: it is the?square root?of the?Variance Variance = The average of the?squared?differences from the Mean. To calculate the variance follow these steps: Work out the Mean (the simple average of the numbers) Then for each number: subtract the Mean and square the result (the squared difference). Then work out the average of those squared differences. (Why Square?)
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stats

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Data--Types of Variables Categorical A variable that names categories (whether with words or numerals) Eye Color (brown, blue, green), T-shirt size (large, medium, small), type of vehicle Quantitative A variable that are numerical values taken from an individual Weight (117 lbs, 170 lbs, 253 lbs) School administrators collect data on students attending the school. Which of the following variables is quantitative? B) class (freshman, soph., junior, senior) D) whether the student is in AP classes C) whether the student has taken the SAT A) grade point average E) none of these Ways to display categorical data Frequency Table ? lists categories and counts for each Class Count First 325 Second 285 Third 706 Crew 885 COUNTS! Ways to display categorical data

Against All Odds Video Quizzes

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Against All Odds Program 1 Quiz ?What is Statistics?? Name ________________ 1. Dr. Amabile is a _______________ as well as a psychologist. The secret of success is using _______________ to check each step of the operation. Consumer trials stick to a precise script so the results can be compared _______________. Any _______________ due to order of presentation gets cancelled out in the second round. There?s one more essential step, ________________________ the whole package in selected cities and measuring the response. Without these statistical analyses, we would never really be sure whether or not two things are ___________________ different or not, we?d just be guessing.

ANOVA sample problem

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Age-Problem A researcher wishes to see whether there is a difference in the average age of nurses, doctors, and X-ray technicians at a local hospital. Employees are randomly selected. At 95% confidence level, can the researcher conclude that there is a difference in the average ages of each group? Nurses Doctors X-Ray Techs 23 60 33 25 36 28 26 29 35 35 56 29 42 32 23 22 54 41 58 28.833333333333332 46.428571428571431 31.5 Mean 62.966666666666605 181.28571428571436 39.1 Variance 36.157894736842103 Grand Mean GPA-Problem The GPAs of students participating in college sports programs are to be compared. At ?=0.05, can one conclude that there is a difference in the mean GPA of the three groups? Football Baseball Hockey 3.2 3.8 2.6 2.6 3.1 1.9 2.4 2.6 1.7
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