By Trevor Wegner
An introductory facts textual content for administration scholars who need to know easy methods to learn information generated from any sector of business—be it advertising and marketing, finance, human assets, creation, or logistics—this ebook highlights the position of information as a choice aid software in administration selection making. all through, emphasis is put on the significance of information and information caliber; the variety of attainable functions, proven via quite a few labored examples; transparent reasons of the way every one procedure works; and the legitimate administration interpretation of the statistical findings. Assuming just a easy point of mathematical skill, this reference courses scholars via every one statistical technique.
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Extra resources for Applied Business Statistics: Methods and Excel-Based Applications
4 Only 9% (1 out of 11) of all males prefer to shop at Spar. e. approximately 63% female, 37% male), gender and store preference are not associated. 3 Summarising Numeric Data Numeric data can also be summarised in table format and displayed graphically. The table is known as a numeric frequency distribution and the graph of this table is called a histogram. 1, the numeric variable ‘age of shoppers’, will be used to illustrate the construction of a numeric frequency distribution and its histogram.
5 Using Excel (2007) to Produce Summary Tables and Charts Pivot Tables The PivotTable option within the Insert tab can be used to construct both categorical frequency tables (called a one-way pivot table in Excel) and cross-tabulation tables (called a two-way pivot table in Excel). The Chart option is used to display these tables graphically. Follow these steps to create a one-way pivot table (in Excel 2007): Highlight the data range of the categorical variable(s) to be summarised. From the menu bar in Excel, select Insert, then select the PivotTable icon.
The answer is: the sum of all frequency counts (or percentages) below this current interval upper limit. For this extra lower interval, the cumulative frequency count (or percentage) will always be zero. A shortcut method to find each successive cumulative frequency count is to add the current interval frequency count to the cumulative frequency immediately preceding it. The last interval’s cumulative frequency count must equal the sample size, n, (if frequency counts are summed) or 100% (if percentages are summed).
Applied Business Statistics: Methods and Excel-Based Applications by Trevor Wegner