A Course in Business Statistics |
Contents
What Is Statistics | 1 |
Probability | 3 |
Describing Distributions of Measurements | 12 |
Copyright | |
22 other sections not shown
Common terms and phrases
alternative hypothesis analysis of variance average B₁ binomial probability distribution calculate Central Limit Theorem Chapter confidence interval corresponding data provide sufficient decision defective degrees of freedom difference dividend yields Empirical Rule equal event evidence to indicate example expected value experiment Find a 90 formula fraction frequency histogram given graph inference mean and standard mean number method Minitab multiple regression n₁ n₂ normally distributed Note null hypothesis observed significance level obtain one-tailed test p-value p₁ parameters payoff population mean prediction interval present sufficient evidence printout problem procedure production provide sufficient evidence random sample random variable Refer to Exercise regression analysis reject the null rejection region relative frequency distribution relative frequency histogram sample mean sample points sampling distribution Section SOLUTION standard deviation statistical test sum of squares Suppose Tchebysheff's Theorem test statistic tion total number two-tailed test x₁