Elementary Statistics: A Step by Step Approach
Geared 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.
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approximately automobile average number bar graph binomial distribution brand chapter chi-square Class Boundaries Class Limits coin column confidence interval correlation coefficient critical value cumulative frequency curve data in Exercise data set data values defective degrees of freedom digits equal estimate EXAMPLE expected value female Find the critical Find the mean find the probability following data formula frequency distribution frequency polygon Hence histogram median midpoint MINITAB multinomial distribution multiplication rule normal distribution null hypothesis number of values obtained one-tailed outcomes percentile permutations person Poisson distribution population mean probability distribution probability of getting Procedure Table random numbers random sample randomly selected rank reject the null relationship represent researcher rolled sample means sample space score selected at random shown in Figure simulation Solution Step specific standard deviation standard error statistics Subtract test value tion total number tree diagram true two-tailed variance and standard