Download Applied Statistical Methods in Agriculture, Health and Life by Bayo Lawal PDF

By Bayo Lawal

This textbook teaches the most important statistical how you can solution examine questions utilizing a distinct variety of statistical software program courses, together with MINITAB and R. This textbook is built for undergraduate scholars in agriculture, nursing, biology and biomedical examine. Graduate scholars also will locate it to be an invaluable solution to refresh their facts talents and to reference software program ideas. the original blend of examples is approached utilizing MINITAB and R for his or her person strengths. topics lined comprise between others facts description, chance distributions, experimental layout, regression research, randomized layout and organic assay. not like different biostatistics textbooks, this article additionally comprises outliers, influential observations in regression and an advent to survival research. fabric is taken from the author's huge educating and learn in Africa, united states and the united kingdom. pattern difficulties, references and digital supplementary fabric accompany every one chapter.

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Extra info for Applied Statistical Methods in Agriculture, Health and Life Sciences

Example text

We give in Fig. 6 an implementation of the component bar graph for the last example. Fig. 4 Pie Charts The pie chart is mostly suitable for categorical variables and represents our variables or attributes in the form of circles. As an example, we will construct a pie chart from the table below which gives the amount of money realized from the export of the principal crops of Nigeria in 1965 in millions of Naira. Here, we consider crop as a categorical nominal variable with three categories. 8 million is represented by 360◦ (whole circle).

A few years ago, a research organisation checked the scales used for weighing heavy objects; the scale was found to weigh low for relatively light objects. This would mean that the differences in weight between heavy and medium, heavy and light, and medium and light objects were smaller than they should have been. The error in measurement of weights could have led to erroneous conclusions. A simple check would have revealed this error which had gone undetected for an unknown length of time. Another very common measuring device is the human judge.

This implication is of course, never made explicit until Secondary school Physics courses are encountered. Even here, they receive only limited attention. Do we ever stop to question how much variation there is between the same calibration marks on the rulers manufactured as brand X? Our experience has told us that rulers commercially available are calibrated closely enough so that we need not worry about errors of calibration in every day life. Unfortunately, this “Safe-feeling” may be carried over into scientific research requiring very precise measurements with sometimes not so happy results.

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