Download Excel 2010 for Environmental Sciences Statistics: A Guide to by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton PDF

By Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton

This is the 1st e-book to teach the services of Microsoft Excel to coach environmental sciences statistics effectively.  it's a step by step exercise-driven advisor for college kids and practitioners who have to grasp Excel to resolve sensible environmental sciences problems.  If realizing information isn’t your most powerful swimsuit, you're not specifically mathematically-inclined, or while you are cautious of desktops, this is often the proper ebook for you. 

Excel, a commonly on hand laptop application for college kids and executives, is additionally a good instructing and studying instrument for quantitative analyses in environmental technological know-how classes.  Its robust computational skill and graphical features make studying statistics a lot more straightforward than in years past.  besides the fact that, Excel 2010 for Environmental Sciences records: A consultant to fixing useful Problems is the 1st ebook to capitalize on those advancements by means of instructing scholars and bosses how one can observe Excel to statistical suggestions useful of their classes and work.

Each bankruptcy explains statistical formulation and directs the reader to take advantage of Excel instructions to unravel particular, easy-to-understand environmental technological know-how problems.  perform difficulties are supplied on the finish of every bankruptcy with their strategies in an appendix.  individually, there's a complete perform try out (with solutions in an Appendix) that permits readers to check what they've got learned.

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Extra resources for Excel 2010 for Environmental Sciences Statistics: A Guide to Solving Practical Problems

Sample text

When ocean tides flood salt marshes, the plants living there must cope with the salt water. , the salt content of the water) depends on how close the marsh is to the ocean. Suppose that a biogeographer is studying the effects of salinity on vegetation in a salt marsh in Maine and that she has mapped the salt marsh into 32 separate geographic areas. Suppose, further, that she has asked you to take a random sample of 5 of these 32 areas within the salt marsh so that she can measure the percent of salinity level in each of these areas.

92. 42. Now, use number format (two decimal places) in your Excel spreadsheet for the mean, standard deviation, standard error of the mean, and for both the lower limit and the upper limit of your confidence interval. 42) would “dribble over” onto a second printed page because the information on the spreadsheet is too large to fit onto one page in its present format. So, you need to use Excel’s “Scale to Fit” commands that we discussed in Chap. 2 (see Sect. 4) to reduce the size of the spreadsheet to 95 % of its current size using the Page Layout/Scale to Fit function.

We make an assumption that the data in the population are “normally distributed” in the sense that the population data would take the shape of a “normal curve” if we could test all of the people in the population. The normal curve looks like the outline of the Liberty Bell that sits in front of Independence Hall in Philadelphia, Pennsylvania. The normal curve is “symmetric” in the sense that if we cut it down the middle, and folded it over to one side, the half that we folded over would fit perfectly onto the half on the other side (see Webster and Oliver 2007).

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