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• ### U Can: Statistics For Dummies Cheat Sheet

Details explaining what to do with data in every conceivable study or experiment can’t be contained on a single page. However, this Cheat Sheet...

• ### Evaluating Claims with Hypothesis Tests

You use hypothesis tests to challenge whether some claim about a population is true (for example, a claim that 90 percent of Americans own a cellphone...

• ### Looking at Confidence Interval Critical Values

Critical values (z*-values) are an important component of confidence intervals (the statistical technique for estimating population parameters). The z...

• ### Not-So-Simple Random Sampling

Simple random samples are the best way to get an unbiased, representative selection of individuals to be a part of a study. However, the process for g...

• ### Finding the Power of a Hypothesis Test

When you make a decision in a hypothesis test, there’s never a 100 percent guarantee you’re right. You must be cautious of Type I errors (...

• ### Central Tendency: Beyond the Basics

The mean and median are the two most reliable and commonly reported measures of the center, and they are used in a wide variety of situations. However...

• ### The Central Limit Theorem: What’s Large Enou

In a nutshell, the Central Limit Theorem says you can use the normal distribution to describe the behavior of a sample m...

• ### Top 10 Statistical Formulas

Formulas — you just can’t get away from them when you’re studying statistics. Here are ten statistical formulas you’ll use fre...

• ### Checking Out Formulas for Confidence Intervals

In statistics, a confidence interval gives a range of plausible values for some unknown population characteristic. It contains an initial estimate plu...

• ### Figuring Sample Size in Statistics

When designing a study, the sample size is an important consideration because the larger the sample size, the more data you have and the more precise...