Statistics 202: CalculusBased Probability & Statistics
 Course type: Selfpaced
 Available Lessons: 71
 Average Lesson Length: 8 min
 New lessons are still being added

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chapter 1 / lesson 1Descriptive & Inferential Statistics: Definition, Differences & Examples
Course Summary
Learn or review calculusbased probability and statistics with Statistics 202. In this course, you'll review engaging math lessons and practice quizzes that can boost your statistics skills for exams, homework, professional development or personal interest.to start this course today
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12 chapters in Statistics 202: CalculusBased Probability & Statistics
Course Practice Test
Check your knowledge of this course with a 50question practice test. Comprehensive test covering all topics
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About This Course
Statistics 202 offers you a quick way to study the foundations of calculusbased probability and statistics. Work through the course at your own pace to explore descriptive statistics, probability approaches, probability distribution, estimation, regression, analysis of variance and much more. Our short lessons come with interactive practice quizzes that help you retain important statistics terms and formulas. You can also take chapter exams and the final course assessment to further enhance your statistics skills.
If you're a student, you could use the course to supplement your math textbooks or study for an upcoming exam. If you're a working professional who needs to learn how to perform statistical analysis, we have a chapter that shows you exactly how to use computer software for statistics. The course can be accessed online at any time, which makes it easy to study statistics whenever it fits your schedule.
Course Topics
Category  Objectives 

Descriptive Statistics Overview  Use descriptive statistics and graphic analysis to form the basis of quantitative analysis; define descriptive statistics; show measures of dispersion; calculate central tendency and leastsquares regression. 
Probability Theories & Approaches  Manipulate basic probabilistic relationships; calculate simple conditional probabilities; discuss the applications of set theory; find binomial probabilities. 
Discrete Probability Distributions Overview  Work with probability density and distribution functions; identify various types of distributions. 
Continuous Probability Distributions Overview  Identify uniform and nonuniform distributions; work with various continuous distribution types. 
Multivariate Probability Distributions  Work with marginal, joint and conditional distributions; define covariance and correlation. 
Statistics & Sampling Distribution  Use and construct control charts; determine various pieces of a sampling distribution, including zscores, Chi, binomial distribution and s^2. 
Estimation in Statistics  Develop confidence and tolerance intervals; use the method of maximum likelihood to find estimators. 
Hypothesis Testing & Statistics  Apply testing to various sample types; evaluate data fit and frequency; test hypotheses; define a null hypothesis. 
Simple Regression in Statistics  Understand regression of variables upon one another; characterize the association between two variables; hypothesize a model and verify its adequacy. 
Multiple Regression in Statistics  Apply regression techniques to multiple dependent values; define and test a multiple regression experiment. 
Experiments and Analysis of Variance  Design a random experiment following various design modeling techniques; explain why the design of the experiment is a crucial step in data analysis. 
Software Options for Statistics  Use Excel or similar software programs to calculate statistics; understand what other software is available for statistical analysis. 
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