Course Course Summary Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: SAYA-0032 Organization's ID: MA121 Organization: Saylor Academy Location: Online Length: Self-paced (93 hours) Dates Offered: 5/1/2022 - 4/30/2025 6/1/2018 - 4/30/2022 Credit Recommendation & Competencies Section 2 Content Section 2 Content Left Section 2 Content Right Level Credits (SH) Subject Lower-Division Baccalaureate 3 general probability & statistics Description Section 3 Content Section 3 Content Left Section 3 Content Right Objective: The course objective is to provide an examination of the properties behind the basic concepts of probability and statistics, designed to teach students ways to investigate the relationships between various characteristics of data. Learning Outcomes: define and apply the meaning of descriptive statistics and statistical inference, describe the importance of statistics, and interpret examples of statistics in a professional context distinguish between a population and a sample calculate and explain the purpose of measures of location, variability, and skewness apply simple principles of probability compute probabilities related to both discrete and continuous random variables identify and analyze sampling distributions for statistical inferences identify and analyze confidence intervals for means and proportions compare and analyze data sets using descriptive statistics, parameter estimation, and hypothesis testing explain how the central limit theorem applies in inference, and use the theorem to construct confidence intervals calculate and interpret confidence intervals for one population average and one population proportion differentiate between type I and type II errors conduct and interpret hypothesis tests identify and evaluate relationships between two variables using simple linear regression discuss concepts pertaining to linear regression, and use regression equations to make predictions. General Topics: Statistics and data Elements of probability and random variables Sampling distributions Estimation with confidence intervals Hypothesis testing Linear regression Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Instructional Strategies: Audio Visual Materials Computer Based Training Lectures Practical Exercises Methods of Assessment: Other Quizzes proctored final exam Minimum Passing Score: 70% Supplemental Materials Section 5 Content Section 5 Content Left Section 5 Content Right Section 6 Content Section 6 Content Left Section 6 Content Right Button Content Rail Content 1 Other offerings from Saylor Academy ARTH101: Art Appreciation (SAYA-0036) BIO101: Introduction to Molecular and Cellular Biology (SAYA-0019) BUS101: Introduction to Business (SAYA-0020) BUS103: Introduction to Financial Accounting (SAYA-0021) BUS105: Managerial Accounting (SAYA-0009) BUS200: Business Ethics (SAYA-0047) BUS202: Principles of Finance (SAYA-0022) BUS203: Principles of Marketing (SAYA-0023) BUS204: Business Statistics (SAYA-0037) BUS205: Business Law (SAYA-0024) View All Courses Page Content