Biostatistics: a foundation for analysis in the health sciences
This classic text takes an applied and computer-oriented approach to its topical coverage. The book is intended for one or two semester courses in biostatistics at the undergraduate or graduate level offered by departments of biostatistics, statistics, mathematics, nursing and other allied health disciplines, and is also used in some departments of forestry and animal husbandry. Nearly all the examples and exercises make use of real data from actual research projects and reports from health sciences literature. Where appropriate, Minitab, SPSS and SAS commands and printouts are included as part of the examples and solutions to exercises.
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Organizing and Summarizing Data
Some Basic Probability Concepts
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95 percent confidence analysis of variance approximately normally distributed assumptions chapter chi-square class intervals completely randomized design computed conclude constructed correlation coefficient critical value data provide sufficient degrees of freedom Determine the p-value difference drug equal estimate evidence to indicate expected frequencies experimental Figure hospital hypothesis is true hypothesis testing illustrative example level of significance linear measure median method normally distributed normally distributed population null hypothesis obtain p-value parameter patients percent confidence interval Poisson distribution population means population proportions population variances prediction interval procedure provide sufficient evidence random sample random variable ranks ratio Refer to Exercise regression equation Reject H0 reject the null rejection region relationship relative frequency researcher sample means sample variances sampling distribution scores shown in Table simple random sample standard deviation subjects sum of squares Table C continued test statistic test the null total number treatment unit normal distribution