Ryerson University: QMS 102 Statistics for Business
Learn all major topics covered in QMS 102 to prepare for the final exam.
This course is designed to be taken as you study for the final exam in QMS 102 at Ryerson. Every topic is broken down and explained in simple terms. We walk through examples, talk about how to recognize different types of problems and how to approach them, as well as discuss exam-taking strategies.
Your Instructor
Mike graduated from the Asper School of Business (University of Manitoba) in 2009 with a major in Actuarial Science. After graduating, Mike completed the rigorous study and exam schedule required complete his actuarial designation, earning his FSA (Fellowship of the Society of Actuaries) in June 2012. In August 2012 Mike co-founded Arnold Tutoring, a boutique math tutoring company helping students of all ages and abilities. Mike has tutored hundreds of students and taught the Pre-Calculus 40S Exam Prep Seminar over 20 times, perfecting every explanation, example and practice problem.
Course Curriculum
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PreviewIntroduction: How This Course Will Help You
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PreviewLesson 1: Why Use Descriptive Statistics? (4:22)
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StartLesson 2: Types of Variables & Measurement (12:13)
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StartLesson 3: Building a Frequency Distribution (7:46)
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StartLesson 4: Frequency Distribution Graphs (7:56)
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StartLecture 5: Stem & Leaf Plot (7:38)
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StartLesson 6: Central Tendency (7:47)
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StartLesson 7: Central Tendency - Grouped Data (9:36)
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StartLesson 8: Variability - Range & IQR (9:55)
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StartLesson 9: Variability - Five Number Summary (7:50)
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StartLesson 10: Variability - Variance & Standard Deviation (6:58)
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StartLesson 11: Weighted Average/Mean (8:00)
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StartLesson 12: Basic Probability (12:05)
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StartLesson 13: Probability Distributions (7:22)
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StartLesson 14: Discrete Probability Distributions (7:34)
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StartLesson 15: The Normal Distribution (6:57)
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StartLesson 16: Distribution of the Sample Means (incl. Central Limit Theorem) (10:28)
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StartLesson 17: Sample Proportions (7:24)