Fundamentals of behavioral statistics
A proven performer designed for today's psychology students, "Fundamentals of Behavioral Statistics" combines current thinking with a clear presentation designed to foster complete student understanding. A classic text that features a modern, student-oriented approach to studying behavioral statistics with an emphasis on accessibility and comprehensiveness, it is built on four tenants of success: a strong mathematical foundation, clear and interesting examples, rich illustrations and abundant exercises. The revision will continue to place great emphasis on introducing students to exploratory data analytic techniques by replacing outdated techniques with the latest, most up to date methods. Real life examples, used to present the most current approaches to teaching statistics, will be revised to incorporate results from popular and familiar experiments.
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THE DEFlNlTlON OF STATlSTlCAL ANALYSlS
MEASURES OF CENTRAL TENDENCY 77
BASlC MATHEMATlCAL CONCEPTS
18 other sections not shown
altemative hypothesis behavioral binomial calculate central tendency CHAPTER SUMMARY class interval CLASS lNTERVAL coin conceming critical region critical value cumulative frequency cumulative percentage decimal determine difference between means draw employed example Exercise experimental f-distributions female formula frequency distribution frequency polygon given greater histogram inferential statistics level of significance ln other words males mathematical mean equal measure of central median normal curve normally distributed null hypothesis one-tailed outcomes p-value Pearson percentile rank population mean prediction probability of obtaining problem procedures random real limit referred regression line reject H0 reject the null relationship represent sample means sample statistics sampling distribution selected skewed standard deviation standard error statistical test Student f-ratio subtracting sum of squares sum squares symbols Table techniques tion true limits two-tailed test type ll error variable variation z-scores zero