To describe the properties of central tendency, variation and shape in numerical data To calculate descriptive summary measures for a population To construct and interpret a box-and-whisker plot To describe the covariance and coefficient of correlation as a measure of the strength of the relationship between two numerical variables

 Formulate null (H0) and alternative hypotheses (H1) for applications involving one sample population mean or proportion  Formulate a decision rule for testing a hypothesis  Know how to use the critical value and p-value approaches to test the null hypothesis (for both mean and proportion problems)  Know what Type I and Type II errors are

 Test hypotheses for the difference between two independent population means (standard deviations known or unknown)  Test two means from related samples for the mean difference  Complete a Z test for the difference between two proportions  Use the F table to find critical F values  Complete an F test for the difference between two variances

 Recognize situations in which to use analysis of variance  Understand different analysis of variance designs  Perform a single-factor hypothesis test and interpret results  Conduct and interpret post-hoc multiple comparisons procedures  Analyze two-factor analysis of variance tests

To use regression analysis to predict the value of a dependent variable based on an independent variable The meaning of the regression coefficients bo and b . To evaluate the assumptions of regression analysis and know what to do if the assumptions are violated . To make inferences about the slope and correlation coefficient . To estimate mean values and predict individual values

Demand Management Qualitative Forecasting Methods Time Series Analysis – Static method – Adaptive method Simple & Weighted Moving Average Forecasts Exponential Smoothing Exponential Smoothing with trend Exponential Smoothing with trend & seasonality Simple Linear Regression

《专业导论》 《高等数学 B（一）》 《无机及分析化学》 《无机及分析化学实验》 《有机化学》 《有机化学实验》 《普通生物学》 《生物化学》 《生物化学实验》 《微生物学》 《遗传学》 《分子生物学》 《基因工程》 《分子生物学与基因工程实验》 《仪器分析》 《生物统计与试验设计》 《生物制药》 专业方向课教学大纲. 《发酵工程》 《酶工程》 《蛋白质工程与应用》 《生化工程》 专业选修课程教学大纲 《专业英语》 《课题设计与论文写作》 集中实践课程教学大纲 《专业见习》 《毕业论文（设计）》 《毕业实习》

§1 点估计 §3 估计量的评选标准 §4 区间估计 §5 正态总均值与方差的区间估计 §6 (0--1)分布参数的区间估计 §7 单侧置信区间

How to construct various control charts Which control charts to use for a particular type of data How to measure the capability of a process The basic themes of quality management and Deming’s 14 points The basic aspects of Six Sigma

▪ Interpret the mean and standard deviation for a discrete probability distribution ▪ Explain covariance and its application in finance ▪ Use the binomial probability distribution to find probabilities ▪ Describe when to apply the binomial distribution ▪ Discuss the Hypergeometric distribution ▪ Review the Poisson distribution