Elementary Statistics: A Step by Step ApproachGeared toward the student without a strong mathematical background, this text uses a non-theoretical approach in which concepts are explained intuitively and are supported by examples. Students majoring in such fields as natural and social sciences, business, economics, and computer science will understand how statistics applies to their chosen field through the use of examples drawn from such disciplines. |
Contents
The Normal Distribution | 239 |
CHAPTER 15 | 465 |
HYPOTHESISTESTING SUMMARY 3 | 509 |
Copyright | |
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automobile average number binomial distribution brand chapter chi-square Class Boundaries column Compute the test confidence interval Construct correlation coefficient critical value Cumulative Frequency data set data values degrees of freedom difference digits equal error of estimate example expected value F test False female Find the critical Find the mean find the probability formula frequency distribution H₁ Hence independent Kruskal-Wallis test median midpoint MINITAB n₂ normal distribution null hypothesis number of values obtained outcomes parameter percentile population mean prob probability distribution Procedure Table random numbers random sample rank regression line reject the null relationship represent sample means sample space score selected at random shown in Figure Solution STEP specific standard deviation standard error statistics Subtract Summarize the results test the claim test value tree diagram true type I error variable variance Wilcoxon signed-rank test X₁