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sampling distributions - Colorado Mesa University
sampling distributions - Colorado Mesa University

Q 1 + Q 3 - TonyReiter
Q 1 + Q 3 - TonyReiter

AP Statistics Exam Tips for Students
AP Statistics Exam Tips for Students

... Look at graphs and displays carefully. For graphs, note carefully what is represented on the axes, and be aware of number scale. Some questions that provide tables of numbers and graphs relating to the numbers can be answered simply by "reading" the graphs. About graphing calculator use: Your graphi ...
PowerPoint
PowerPoint

Descriptive statistics - Human Relations Area Files
Descriptive statistics - Human Relations Area Files

... STATISTICS IN CROSS-CULTURAL RESEARCH. The information provided here will not substitute for formal instruction in statistical methods, but it will hopefully help you understand how statistics are used to answer cross-cultural questions, as well as how to interpret some basic statistics when you enc ...
AP Statistics Learning Targets for Unit 8 Inference on Two Samples
AP Statistics Learning Targets for Unit 8 Inference on Two Samples

Document
Document

Section 9.3 Notes
Section 9.3 Notes

PowerPoint Slides
PowerPoint Slides

... There is no way to check independence of the data, but we should think about whether the assumption is reasonable. Randomization Condition: The data arise from a random sample or suitably randomized experiment. 10% Condition: The sample size should be no more than 10% of the population. For means ou ...
Descriptive Statistics - Department of Mathematics and Statistics
Descriptive Statistics - Department of Mathematics and Statistics

2.5: Measures of Center
2.5: Measures of Center

Fall 11, Midterm
Fall 11, Midterm

4 Measures of Variation (Spread)
4 Measures of Variation (Spread)

...  You can find the quartiles in the graphing calculator just like you would find the mean. Scroll down and find Q1 and Q3.  Enter your data into L1 (Stat  Edit)  To clear data, be sure to highlight the title (L1) and press CLEAR  Enter (DO NOT PRESS DELETE)  Once your data is entered, press STA ...
Chapter 9 PowerPoint 2014
Chapter 9 PowerPoint 2014

Chapter 6 The t-test and Basic Inference Principles
Chapter 6 The t-test and Basic Inference Principles

Chapter 10: STATISTICAL INFERENCE FOR TWO SAMPLES Part 2
Chapter 10: STATISTICAL INFERENCE FOR TWO SAMPLES Part 2

Table: Chi-Square Probabilities - Fisher College of Business
Table: Chi-Square Probabilities - Fisher College of Business

Mitosis Data Analysis: Testing Statistical Hypotheses
Mitosis Data Analysis: Testing Statistical Hypotheses

lecture7
lecture7

... a) If the original set of data in known, round the confidence interval limits to one more decimal place than is used for the original set of data. b) When the original set of data is unknown, round the confidence interval limits to the same number of decimal places used for the sample mean. Example ...
Measures of Central Tendency
Measures of Central Tendency

two-sample t-test
two-sample t-test

Chapter 8: Testing the Difference of the Means of Two
Chapter 8: Testing the Difference of the Means of Two

... To decide whether your two sample means are significantly different, you need to find out the amount by which two sample means (the same sizes as yours) typically differ based on only random sampling. This amount is called the standard error of the difference (SED), and we will show you exactly how ...
Small Sample tests
Small Sample tests

Math 2 with Support - North Cobb High School Class Websites
Math 2 with Support - North Cobb High School Class Websites

... Because the question is posted on the team’s website and you must volunteer to go to the website and vote, this is a self-selected sample. All self-selected samples are biased. 3. The managers of a movie theater chain want to find the number of movies people in the community usually see in a theater ...
Worksheet3
Worksheet3

... that 0.05. To see this, we can take the upper limit of the confidence interval, in our case (above) 7520.925, and test it > t.test(daily.intake, mu=7520.925) We see that, as we expect, the p-value is 0.05, and for just inside the confidence region > t.test(daily.intake, mu=7520) we see a p-value gre ...
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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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