Study Guides

81.
Basics of Probability Practice Test
Review the following concepts if necessary: The Probability Fallacy Help
Source: McGrawHill Professional 
82.
Percentiles Help
Percentiles in a Normal Distribution Percentiles divide a large data set into 100 intervals, each interval containing 1% of the elements in the set. There are 99 possible percentiles, not 100, because the percentiles represent the boundaries where the 100 ...
Source: McGrawHill Professional 
83.
Quartiles and Deciles Help
Quartiles in a Normal Distribution There are other ways to divide data sets besides the percentile scheme. It is common to specify points or boundaries that divide data into quarters or into tenths. A quartile or quartile point is a ...
Source: McGrawHill Professional 
84.
Intervals by Element Quantity Help
Introduction to Intervals by Element Quantitiy Percentiles, quartiles, and deciles can be confusing when statements are made such as, ''You are in the 99th percentile of this graduating class. That's the highest possible rank.'' Doubtless more than one student in ...
Source: McGrawHill Professional 
85.
Fixed Intervals Help
Introduction to Fixed Intervals In descriptive measures statistics, you can divided up data sets into subsets containing equal (or as nearly equal as possible) number of elements, and then observed the ranges of values in each subset. There's another approach: we ...
Source: McGrawHill Professional 
86.
Descriptive Measures Other Specifications Help
Other Specifications—Range There are additional descriptive measures that can be used to describe the characteristics of data. Let's look at the definitions of some of them. Range In a data set, or in any ...
Source: McGrawHill Professional 
87.
Descriptive Measures Practice Test
Review the following concepts if necessary: Percentiles Help Quartiles ...
Source: McGrawHill Professional 
88.
Source Data and Sampling Frames Help
Introduction to Sound Data and Sampling Frames In the real world, data is gathered by a process called sampling. It's important that the sampling process be carried out correctly, and that errors of all kinds be minimized (unless the intent is to ...
Source: McGrawHill Professional 
89.
Random Sampling Help
Introduction to Random Sampling When we want to analyze something in a large population and get an unbiased crosssection of that population, random sampling can be used. In order to ensure that a sampling process is random (or as close as we can get), we ...
Source: McGrawHill Professional 
90.
Estimation Help
Introduction to Estimation—Mean In the real world, characteristics such as the mean and standard deviation can only be approximated on the basis of experimentation. Such approximation is called estimation. Estimating the ...
Source: McGrawHill Professional