Study Guides

71.
Populations and Samples Help
Population In statistics, the term population refers to a particular set of items, objects, phenomena, or people being analyzed. These items, also called elements, can be actual subjects such as people or animals, but they can also be numbers or ...
Source: McGrawHill Professional 
72.
Distributions Help
Distribution A distribution is a description of the set of possible values that a random variable can take. This can be done by noting the absolute or relative frequency. A distribution can be illustrated in terms of a table, or in terms of a graph. ...
Source: McGrawHill Professional 
73.
Statisitcs Definitions Help
Truncation The process of truncation is a method of approximating numbers denoted as decimal expansions. It involves the deletion of all the numerals to the right of a certain point in the decimal part of an expression. Some electronic calculators ...
Source: McGrawHill Professional 
74.
Learning the Statistics Jargon Practice Test
Review the following concepts if necessary: Experiments and Variables Help
Source: McGrawHill Professional 
75.
The Probability Fallacy Help
The Probability Fallacy We say something is true because we've seen or deduced it. If we believe something is true or has taken place but we aren't sure, it's tempting to say it is or was ''likely.'' It's wise to resist this temptation.
Source: McGrawHill Professional 
76.
Probability Key Definitions Help
Probability Key Definitions—Event Versus Outcome Here are definitions of some common terms that will help us understand what we are talking about when we refer to probability. Event Versus Outcome The terms ...
Source: McGrawHill Professional 
77.
Properties of Outcomes Help
Properties of Outcomes—Law of Large Numbers Here are some formulas that describe properties of outcomes in various types of situations. Don't let the symbology intimidate you. Law of Large Numbers Suppose you toss ...
Source: McGrawHill Professional 
78.
Permutations and Combinations Help
Factorial In probability, it is often necessary to choose small sets from large ones, or to figure out the number of ways in which certain sets of outcomes can take place. Permutations and combinations are the two most common ways this is done. ...
Source: McGrawHill Professional 
79.
The Density Function Help
A Pattern Emerges When working with large populations, and especially with continuous random variables, probabilities are defined differently than they are with small populations and discrete random variables. As the number of possible values of a random variable ...
Source: McGrawHill Professional 
80.
Two Common Distributions Help
Introduction to Two Common Distributions The nature of a probability density function can be described in the form of a distribution. Let's get a little bit acquainted with two classical types: the uniform distribution and the ...
Source: McGrawHill Professional