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WHAT IS STATISTICS?
METHODS FOR DESCRIBING
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alternative hypothesis Applying the concepts approximately normal assume assumptions binomial probability distribution binomial random variable brand calculate central limit theorem Chapter completely randomized design Compute confidence interval data provide sufficient data set degrees of freedom determine difference in mean discrete random variable drug equal error estimate the difference evidence to indicate example EXERCISES Learning exponential distribution F statistic Find a 90 Find the probability graph indicate a difference inference Learning the mechanics mean and standard mean number median method mound-shaped normally distributed null hypothesis observed significance level parameter population mean proportion provide sufficient evidence randomized block design randomly selected rank sum recorded rejection region relative frequency histogram sample mean sample space sample statistic sampling distribution shown in Figure simple events Solution standard deviation Sum of squares Suppose Test H0 test scores test statistic tion toss total number treatment z-score