By Michael Friendly
This e-book deals many new and extra simply available graphical tools for representing express information utilizing SAS software program. Graphical tools for quantitative info are good built and standard. in spite of the fact that, previously with this complete therapy, few graphical tools existed for express information. during this cutting edge ebook, pleasant offers many elements of the relationships between variables, the adequacy of a outfitted version, and probably strange positive factors of the knowledge which can most sensible be noticeable and preferred in an informative graphical exhibit. packed with courses and knowledge units, this e-book makes a speciality of the use, knowing, and interpretation of effects. the place invaluable, the statistical conception with a well-written rationalization can also be supplied. Readers also will have fun with the implementation of those tools within the common macros and courses which are defined within the publication.
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1 Introduction Not everything that counts can be counted, and not everything that can be counted counts. Albert Einstein Discrete frequency distributions often involve counts of occurrences, such as accident fatalities, words in passages of text, births of twins, events of terrorism or suicide, or blood cells with a specific characteristic. Typically, such data consists of a table that records that the n k of the observations pertain to the basic outcome value k, k = 0, 1, .
1 Introduction Not everything that counts can be counted, and not everything that can be counted counts. Albert Einstein Discrete frequency distributions often involve counts of occurrences, such as accident fatalities, words in passages of text, births of twins, events of terrorism or suicide, or blood cells with a specific characteristic. Typically, such data consists of a table that records that the n k of the observations pertain to the basic outcome value k, k = 0, 1, .
In each case, the slope and intercept of the weighted least squares line correctly identify the distribution. 13 Ord plots for four discrete distributions. Each panel shows the least squares line (dotted, black) and the weighted least squares line (solid, red). The slope and intercept of the weighted least squares line are used to identify the type of the distribution. 529 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 0 0 10 20 Number collected 30 0 1 2 3 4 5 6 7 Number of women 8 9 10 Chapter 2 Fitting and Graphing Discrete Distributions 49 Drawbacks Using a single plot to determine one of four common discrete distributions is advantageous, but our enthusiasm should be limited by several weaknesses in this method: • The Ord plot lacks resistance because a single discrepant frequency affects the points for both k and k + 1.