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Chapter 10-Learning Objectives Describe the logic of and transform verbal statements into null and alternative hypotheses Describe what is meant by Type I and Type Il errors Conduct a hypothesis test for a single population mean or proportion
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新乡学院:数学与统计学院教研文档(论文模板)表6 指导记录表(批注版)
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Chapter 14-Learning objectives Differentiate between nonparametric and parametric hypothesis tests Determine when a nonparametric test should be used instead of its parametric counterpart Appropriately apply each of the nonparametric methods introduced o 2002 The Wadsworth Group
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新乡学院:数学与统计学院教研文档(论文模板)表5 开题报告(批注版)
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Chapter 19- Learning Objectives Express a decision situation in terms of decision alternatives, states of nature, and payoffs. Differentiate between non-Bavesian and Bavesian decision criteria. Determine the expected payoff for a decision alternative. Calculate and interpret the expected value of perfect information
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新乡学院:数学与统计学院教研文档(论文模板)表4 任务书(批注版)
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新乡学院:数学与统计学院教研文档(论文模板)0 论文模版(批注版)
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Chapter 20-Learning Objectives Understand the philosophy of total quality management(TQM) Be able to distinguish between defect prevention and defect detection strategies for the management of qualit Be able to distinguish random variation from assignable variation Understand the fundamentals of statistical process control charts
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Section 1 sampling error of mean Section 2 t distribution Section 3 confidence intervals for the population mean
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西北师范大学:数学与统计学院数学与应用数学专业学院平台学科必修课程教学大纲汇编
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