By R. Lyman Ott, Micheal T. Longnecker
Records is a proposal procedure. during this entire creation to statistical equipment and knowledge research, the method is gifted using a four-step procedure: 1) amassing info, 2) summarizing info, three) interpreting info, and four) speaking the result of facts analyses.
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Extra info for An Introduction to Statistical Methods and Data Analysis (5th Edition)
In this example, we will only consider tread wear. There should be a recorded tread wear for each of the sixteen tires, four tires for each brand. The methods presented in Chapters 8 and 15 could be used to summarize and analyze the sample tread wear data in order to make 28 Chapter 2 Using Surveys and Scientific Studies to Gather Data comparisons (inferences) among the four tire brands. One possible inference of interest could be the selection of the brand having minimum tread wear. Can the best-performing tire brand in the sample data be expected to provide the best tread wear if the same study is repeated?
For example, suppose that an experimenter is interested in examining the effects of two variables, nitrogen and phosphorus, on the yield of a selected variety of corn. Also assume that we have three levels of each factor: 40, 50, and 60 pounds per plot for nitrogen; 10, 20, and 30 pounds per plot for phosphorus. For this study the experimental units are small, relatively homogeneous plots that have been partitioned from the acreage of a farm. One approach for examining the effects of two or more factors on a response is called the one-at-a-time approach.
For our example, if the observational study showed a higher frequency of lung cancer and cardiovascular disease for smokers relative to nonsmokers, it would be stated that this study showed that cigarette smoking was associated with an increased frequency of lung cancer and cardiovascular disease. It is a careful rewording in order not to infer that cigarette smoking causes lung cancer and cardiovascular disease. Often, however, an observational study is the only type of study that can be run. Our job is to make certain that we understand the type of study run and, hence, understand how the data were collected.