Biostatistics: A Foundation for Analysis in the Health Sciences

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 factor Figure hospital hypothesis is true hypothesis testing illustrative example level of significance measure median method normally distributed population null hypothesis obtained p-value P₁ parameter patients percent confidence interval Poisson distribution population means population variances prediction interval present example procedure provide sufficient evidence R. A. Fisher random sample random variable Refer to Exercise regression equation reject the null rejection region relative frequency researcher sample means sample variances sampling distribution scores shown in Table simple random sample standard deviation subpopulation sum of squares test statistic test the null treatment unit normal distribution X₁ zero Σ Σ