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Some Elementary Probability Concepts
Some Important Probability Distributions
Some Important Sampling Distributions
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analysis of variance approximately normally distributed assumptions binomial distribution calculations central limit central limit theorem Chapter chi-square chi-square distribution class intervals cluster sampling coefficient column confidence interval Construct a 95 correlation critical value curve data provide sufficient decision decision-maker defective items degrees of freedom determine difference discussed employees equal error estimate event evidence to indicate example Exercise expected frequencies factor Figure finite population firm following table shows formula frequency distribution given hypothesis test level of significance linear measure median method nonparametric null hypothesis observations obtain parameter payoff Poisson distribution population mean population proportions population variances probability distribution procedure provide sufficient evidence random variable randomly refer reject H0 reject the null researcher sample data sample means sampling distribution sampling plan scores selected simple random sample standard deviation sum of squares Suppose systematic samples test statistic test the null theorem units