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Relevance of probability theory 2 Some basic concepts in probability 3 Three
DISTRIBUTIONS AND DECISION THEORY
SAMPLING AND SAMPLING DISTRIBUTIONS
8 other sections not shown
95 percent acceptance region Appendix Table average absolute deviation Bernoulli process binomial distribution chi-square class mark coefficient compute confidence interval confidence level correlation data array data points data set degrees of freedom determine difference dispersion employees equal example Figure formula frequency distribution graph hypothesis test illustrates independent variable interval estimate level of significance lower limit manager median method mode multiple regression mutually exclusive normal distribution normal probability distribution null hypothesis number of items number of observations occur percent confidence plant Poisson population mean population parameter population standard deviation population variance possible outcomes problem profit random sample random variable range regression line reject the null relationship relative frequency sample mean sample proportion sample standard deviation sample statistic sampling distribution significance level skewed square standard error standard score statistically independent statisticians Suppose symbols tails tion toss total number trend variation