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所在平台: Udemy |
课程主页: https://www.udemy.com/course/intro-to-statistics-full-course/
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课程名称：统计学导论（完整课程） 概述：本课程为现代统计学的基本理念和概念提供了全面的介绍。课程涵盖了描述性统计、概率、估计、假设检验和线性回归等主题，学生将接触到来自各个领域的应用。课程重点关注统计推理以及使用真实数据解决问题，而不仅仅是计算技能。强调对基于模拟和技术计算结果的统计结果的解释和评估，使用比基础科学计算器更先进的技术，如图形计算器、电子表格或统计计算软件。内容包括数据收集过程（观察研究、实验设计、抽样技术、偏倚）、使用定量和定性数据的描述性方法、双变量数据、相关性和最小二乘回归、基础概率理论、概率分布（正态分布和正态曲线、二项分布）、置信区间和使用p值的假设检验。 本课程是大学入门级的统计学课程，只要具备基本的代数技能，任何学生都可以报名参加。AP统计学的学生也可以选择此课程来复习基本概念。课程中有一章专门讲解概率，涵盖了第一学期统计学所需的所有基本概率原则。我们使用TI图形计算器来计算课程中涉及的所有统计公式。 通过本课程的成功完成，学生应能够：产生并解释描述性统计，包括图形、数值和表格格式；运用并解释使用并集和交集法则计算的概率；解释随机变量和分布的概念；使用技术计算正态分布和二项分布的概率；根据给定样本生成置信区间估计；解释假设检验的原理；借助技术执行多种假设检验，包括z检验和t检验，并解释结果的意义；使用相关分析确定双变量数据之间线性关系的强度，并应用线性回归描述这种关系。
An overview of the ideas and concepts that are basic to modern statistics. Topics include descriptive statistics, probability, estimation, hypothesis testing, and linear regression. Students will be exposed to applications from a variety of fields.This course focuses on statistical reasoning and the solving of problems using real-world data rather than on computational skills. Emphasis is on interpretation and evaluation of statistical results that arise from simulation and technology-based computations using technology more advanced than a basic scientific calculator, such as graphing calculators with a statistical package, spreadsheets, or statistical computing software. Topics must include data collection processes (observational studies, experimental design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, and least squares regression, basic probability theory, probability distributions (normal distributions and normal curve, binomial distribution), confidence intervals and hypothesis tests using p-values.This is a college entry statistics course, where any student can take this as long as you have basic algebra skills. AP Statistics students could also take this course to review all the basic concepts.There is one chapter on Probability, and it covers all the basics principle of probabilities needed for 1st semester statistics.We use TI Graphing Calculator to calculate all the statistics formulas in this course.Upon successful completion of this course, the student should be able to do the following:Produce and interpret descriptive statistics, graphically, numerically, and in tabular format.Calculate and interpret probability using union and intersection rules.Explain the concepts of random variable and distribution.Use technology to calculate probabilities with the normal and binomial distributions.Produce a confidence interval estimate from a given sample.Explain the rationale of hypothesis testing.Carry out, with the aid of technology, a variety of hypothesis tests, including z-tests and t-tests and interpret the meaning of the results.Use correlation analysis to determine the strength of a linear relationship between bivariate data and apply linear regression to describe this relationship.
