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You can have lots of fun with your iPad; Table 4 shows you how. Buy or rent movies, check out free Internet radio with Pandora, buy a book and enjoy it in a whole new way using iBooks. If you already use a Kindle, you can sync all your Kindle books to your iPad and enjoy them right away. Choose from over 150,000 apps from the App Store to make your iPad even more amazing, fun, and useful. Rent a movie from Netflix or iTunes download it immediately for later viewing (say on an airplane or train). If you have a favorite ABC TV show, chances are you can find and watch it using the ABC app.

Establish the goals of the survey. Determine the sample and sample size. Develop the sampling methodology. Create the questionnaire. Pretest the questionnaire. Distribute the survey (data collection). Analyze the data (survey results).

Call the Remote Function and Print the Result In lines 12 13, we call the remote function, passing two arguments as inputs. The first argument is a pointer to an input structure, and the second argument is the client handle. The return value is a pointer to the output structure declared in the specification file cube.x. We finally print the result. The client code is compiled along with three other files generated by rpcgen and the runtime library, as shown schematically in Figure 4.7. (Note that in this figure, cc is the C compiler.)

Watch a TV show (Most are free and look amazing on the iPad screen.) ABC Player Videos & TV Ch. 9

The following subsections expand on each step of the survey process and describe how each was applied for this research.

A goal of the survey was to balance cost of collecting the data versus the required accuracy. This was balanced by the number of observations included for the survey. If a sample is too large, time, talent, and money are wasted (the cost of collecting the data increases as the number of surveys increases). Conversely, if the number of observations included in the sample is too small, inadequate information may be collected for the population (the data may not be accurate enough to base any decisions or create any models).

Read your favorite magazine or newspaper with up-to-the-minute vibrant pictures and videos (Table 5). Check out the latest weather like never before. Do more than browse the Web interact with it using Safari on your iPad.

client (executable)

A simple random sampling procedure was used for this survey. Each of the 99 SIC code groups represented a different population (Ni), where i represents the SIC code group (1 99). Each business group (i) represents a different population (Ni) because each business grouping generates different types of waste. For example, a metalstamping plant primarily generates materials such as metal scrap, wastewater, and pallets; whereas a commercial printing business primarily generates paper waste and ink waste. The underlying assumption is that similar businesses produce similar types of waste. A list of U.S. companies was complied for each SIC code group and each company was given an ordered number. The ordered list was created from an Internet data warehouse that stores U.S. corporate information (www.superpages.com). This Internet warehouse utilizes a directory format and offers extensive search options by business category. A random number generator was then used to select the needed number of surveys for each population. Each organization was contacted via Internet, phone, or personal visits to determine whether the company was willing to participate in the survey. After con rmation was received, each rm was sent a survey by mail, fax, or e-mail (according to the respondents preference).

A three-page survey form was developed to collect information from companies regarding their waste generation rates (based on the data requirements). Human factor concepts were utilized to develop a short and easy to understand survey form. The form was printed on a bright colored paper to attract attention. The survey form format was based on similar surveys conducted by two solid waste management districts in Ohio. One survey form was developed and used by the Green County solid waste management district (courtesy of Mr. Robert Snow). This survey form was used for over 190 successfully completed mailings/returns. The second survey form was developed by Fayette/Highland/Pickaway/Ross solid waste management district (courtesy of Ms. Lorna Abbott) and used for over 130 successfully completed mailings/returns. The survey form was pretested and nalized before it was sent to all the sample groups. The nalized survey form is displayed in Fig. 14.1.