Business Statistics: Communicating with Numbers by Sanjiv Jaggia

By Sanjiv Jaggia

The 1st version of commercial data: speaking with Numbers offers a special, leading edge, and interesting studying event for college students learning company information. it's an intellectually stimulating, functional, and visually appealing textbook, from which scholars can examine and teachers can train. in the course of the ebook, the authors have awarded the cloth in an available manner by utilizing well timed company functions to which scholars can relate. even if the textual content is application-oriented, it's also mathematically sound and makes use of notation that's often permitted for the subject being lined. attach is the single built-in studying method that empowers scholars by way of consistently adapting to carry accurately what they want, once they want it, and the way they wish it, in order that your category time is extra attractive and potent.

Show description

Read or Download Business Statistics: Communicating with Numbers PDF

Similar statistics books

Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists (Updated Edition)

Right here, by way of renowned call for, is the up-to-date version to Joel Best's vintage consultant to figuring out how numbers can confuse us. In his new afterword, top makes use of examples from contemporary coverage debates to mirror at the demanding situations to bettering statistical literacy. considering the fact that its booklet ten years in the past, Damned Lies and records has emerged because the go-to instruction manual for recognizing undesirable facts and studying to imagine significantly approximately those influential numbers.

Computational and Mathematical Modeling in the Social Sciences

Mathematical types within the social sciences became more and more subtle and frequent within the final decade. this era has additionally obvious many evaluations, so much lamenting the sacrifices incurred in pursuit of mathematical perfection. If, as critics argue, our skill to appreciate the area has no longer more desirable through the mathematization of the social sciences, we'd are looking to undertake a unique paradigm.

Computational Statistics: Volume 1: Proceedings of the 10th Symposium on Computational Statistics

The position of the pc in records David Cox Nuffield collage, Oxford OXIINF, U. okay. A type of statistical difficulties through their computational calls for hinges on 4 elements (I) the volume and complexity of the information, (il) the specificity of the targets of the research, (iii) the wide points of the method of research, (ill) the conceptual, mathematical and numerical analytic complexity of the equipment.

Performance metrics : the levers for process management

Which functionality measures if you happen to use? the most obvious solution is that it will depend on what you must in attaining, which another person should not outline for you. finally, it's your association, your division, or your approach. yet when you are transparent approximately what you must accomplish, how do you style via quite a few attainable metrics and choose that are most sensible?

Additional info for Business Statistics: Communicating with Numbers

Sample text

C. 1, and 3 to KISS108. Counting the responses that fall into each cat­ egory, we find that six tweens listened to 1, two listened to 2, and 12 listened to 3, or in tabular form: Radio Station Number of Tweens Listening to Radio Station 1 6 2 2 3 12 Twelve of the 20 tweens, or 60%, listened to KISS108. This information could prove useful to the management of the resort as they make decisions as to where to allocate their advertising dollars. If the resort could only choose to advertise at one radio station, it would appear that KISS108 would be the wise choice.

A frequency distribution in its final form does not include the tally column. 3 Frequency Distribution for Seattle Weather, February 2010 Weather Cloudy Rainy Sunny Tally Frequency 1 20 7 Total = 28 days From the frequency distribution, we can now readily observe that the most common type of day in February was rainy, since this type of day occurs with the highest frequency. In many applications we want to compare data sets that differ in size. For example, we might want to compare the weather in February to the weather in March.

Ordinal data is stronger in the sense that we can categorize and order the data. Examples of ordinal data include the ratings of a product or a professor, where 1 represents the worst and 4 represents the best. In order to organize qualitative data, it is often useful to construct a frequency distribution. F R E Q U E N C Y D I S T R I B U T I O N FOR Q U A L I T A T I V E DATA A frequency distribution for qualitative data groups data into categories and records the number of observations that fall into each category.

Download PDF sample

Rated 4.11 of 5 – based on 21 votes