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**This course has been updated in 2019. Check out some of our lectures below!**

**Included in the purchase of this course are:**

**100+ Comprehensive & Meaningful Lectures****Dozens Of Homework Assignments**(Autograded) Via MyOpenMath**Several Quizzes**(Autograded) To Assess Understanding Of Each Section**Comprehensive Midterm Exams And Final Exams**(Autograded) To Assess Understand Of The Entire Curriculum**A Complete Open-Source Online Statistics Textbook**

You are probably asking yourself the question, **“When and where will I use statistics?”** If you read any newspaper, watch television, or use the Internet, you will see statistical information. There are statistics about crime, sports, education, politics, and real estate. Typically, when you read a newspaper article or watch a television news program, you are given sample information. With this information, you may make a decision about the correctness of a statement, claim, or “fact.” Statistical methods can help you make the “best educated guess.”

Since you will undoubtedly be given statistical information at some point in your life, **you need to know some techniques for analyzing the information thoughtfully**. Think about buying a house or managing a budget. Think about your chosen profession. The fields of economics, business, psychology, education, biology, law, computer science, police science, and early childhood development require at least one course in statistics.

**In this course, you will learn:**

- Recognize and differentiate between key terms.
- Apply various types of sampling methods to data collection.
- Create and interpret frequency tables.
- Display data graphically and interpret graphs: stemplots, histograms, and box plots.
- Recognize, describe, and calculate the measures of location of data: quartiles and percentiles.
- Recognize, describe, and calculate the measures of the center of data: mean, median, and mode.
- Recognize, describe, and calculate the measures of the spread of data: mean average deviation, standard deviation, and range.
- Understand and use the terminology of probability.
- Determine whether two events are mutually exclusive and whether two events are independent.
- Calculate and interpret expected values.
- Recognize and understand continuous probability density functions in general.
- Recognize the normal probability distribution and apply it appropriately.
- Recognize the standard normal probability distribution and apply it appropriately.
- Compare normal probabilities by converting to the standard normal distribution.
- Recognize central limit theorem problems.
- Classify continuous word problems by their distributions.
- Apply and interpret the central limit theorem for means.
- Apply and interpret the central limit theorem for sums.
- Calculate and interpret confidence intervals for estimating a population mean and a population proportion.
- Interpret the Student’s t probability distribution as the sample size changes.
- Discriminate between problems applying the normal and the Student’s
*t*distributions. - Calculate the sample size required to estimate a population mean and a population proportion given a desired confidence level and margin of error.
- Describe hypothesis testing in general and in practice
- Conduct and interpret hypothesis tests for a single population mean, population standard deviation known.
- Conduct and interpret hypothesis tests for a single population mean, population standard deviation unknown.
- Conduct and interpret hypothesis tests for a single population proportion.

Some content was used from Creative Commons, and attribution is provided within the curriculum of this course.

Course Coupon: https://www.udemy.com/course/statisticsandprobability/

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