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The Role of Statistics in Decision Making
Some Kleinentary Probability Concepts
Some Important Probability Distributions
15 other sections not shown
analysis of variance appropriate assumptions binomial distribution calculations central limit theorem Chapter chi-square chi-square distribution class interval coefficient conclude confidence interval Construct a 95 correlation critical value data provide sufficient Decision rule defective items degrees of freedom determine difference employees equal error estimate evidence to indicate example expected frequencies exponential smoothing factor Figure find the probability finite population firm following table shows forecasting formula given hypothesis test independent variables level of significance linear manufacturer measure median method moving average null hypothesis observations obtain parameter payoff period Poisson distribution population mean population proportion population variances probability distribution procedure provide sufficient evidence random variable Refer to Exercise regression equation reject H0 Repeat Exercise sample data sample means sampling distribution scatter diagram scores seasonal selected Significance level simple random sample standard deviation sum of squares Suppose techniques test statistic time-series trend yields