By Darrell Huff
Over part 1000000 Copies Sold--an Honest-to-Goodness Bestseller
Darrell Huff runs the gamut of each popularly used kind of statistic, probes things like the pattern learn, the tabulation procedure, the interview process, or the way in which the consequences are derived from the figures, and issues up the numerous variety of dodges that are used to complete instead of to notify.
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This textbook is designed for the inhabitants of scholars we now have encountered whereas educating a two-semester introductory statistical tools direction for graduate scholars. those scholars come from a number of examine disciplines within the ordinary and social sciences. many of the scholars don't have any past history in statistical tools yet might want to use a few, or all, of the techniques mentioned during this publication prior to they whole their reports.
Книга SAS for Forecasting Time sequence SAS for Forecasting Time sequence Книги Математика Автор: John C. , Ph. D. Brocklebank, David A. Dickey Год издания: 2003 Формат: pdf Издат. :SAS Publishing Страниц: 420 Размер: 5,3 ISBN: 1590471822 Язык: Английский0 (голосов: zero) Оценка:In this moment version of the imperative SAS for Forecasting Time sequence, Brocklebank and Dickey exhibit you the way SAS plays univariate and multivariate time sequence research.
Книга information: tools and functions information: equipment and purposes Книги Математика Автор: Thomas Hill, Paul Lewicki Год издания: 2005 Формат: pdf Издат. :StatSoft, Inc. Страниц: 800 Размер: 5,7 ISBN: 1884233597 Язык: Английский0 (голосов: zero) Оценка:A finished textbook on statistics written for either rookies and complex analysts.
The conventional method of a number of checking out or simultaneous inference was once to take a small variety of correlated or uncorrelated exams and estimate a family-wise style I mistakes price that minimizes the the likelihood of only one style I errors out of the total set whan all of the null hypotheses carry. Bounds like Bonferroni or Sidak have been occasionally used to as technique for constraining the typeI blunders as they represented top bounds.
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Additional info for How To Lie With Statistics
A meal with 2,000 calories has twice as many calories as a meal with 1,000 calories. Contrast this with temperature: it does not make sense to say that a temperature of 100ºF is twice as hot as 50ºF, because 0º on a Fahrenheit scale is just an arbitrary reference point. JMP does not consider interval and ratio variables separately. Instead, JMP treats all continuous variables the same way in analyses. From a practical view, this makes sense. You would perform the same analyses on interval or ratio variables.
Hiding columns can be useful. The column names still appear in the columns panel, but they are hidden in the data grid. Using the Cars 1993 data table as an example: 1. Right-click the Length (inches) column in the columns panel. 2. Select Hide/Unhide. JMP displays a mask to the right of the column name in the columns panel. As you scroll to the right through the data table, you see that the column does not display, as shown in the following window. 46 Elementary Statistics Using JMP 3. To unhide a column, select it in the columns panel and right-click and select Hide/Unhide again.
First, the imported file must fit in the memory on your computer—this is also a limit for any JMP file that you open or create. Second, the imported file can have a maximum of 10,000 columns and a maximum of 128 KB of 2 information per row. Opening Microsoft Excel Spreadsheets Importing data from Microsoft Excel is similar to opening an existing JMP data table. The steps are: 1. Click FileÆOpen. In the JMP Starter window, you can click FileÆOpen Data Table. 2. Navigate to the location of your data.