OLI’s website has undergone a refresh, and so has the student registration process. Classify a data analysis situation (involving two variables) according to the “role-type classification,” and state the appropriate display and/or numerical measures that should be used in order to summarize the data. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below. This course provides a sound base for the higher studies in probability theory. Apply the rules of means and variances to find the mean and variance of a linear transformation of a random variable and the sum of two independent random variables. Probability & Statistics introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. -2. Determine whether two events are independent or not. This course will give you the tools needed to understand data, science, philosophy, engineering, economics, and finance. The probability will be 0 for something that is impossible to happen. Recognize the distinction between association and causation, and identify potential lurking variables for explaining an observed relationship. Produce a two-way table, and interpret the information stored in it about the association between two categorical variables by comparing conditional percentages. In particular, be able to identify unusual samples from a given population. 28 20 th October 2020 Tuesday 10:30 AM - 11:00 AM Continuous Uniform Distribution • One of the simplest continuous distributions in all of statistics is the Continuous Uniform Distribution . Mahatma Gandhi College, Iritty- Kannur, Kerala. Open & Free OLI courses enable independent learners to study a subject on their own terms, at their leisure. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression. The best I have enrolled in udemy so far!! STAT 1201: Introduction to Probability and Statistics Students are introduced to the concepts and methods of statistics, including variability, randomness, and probability. Typical statistics text books are filled with mathematical formulae instead of focusing on the idea.the review material is better than any other text book, Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots, Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values, RESOURCE: Quiz solutions for this section, Frequency histograms and polygons, and density curves, Symmetric and skewed distributions and outliers, The addition rule, and union vs. intersection, Independent and dependent events and conditional probability, Introduction to discrete random variables, "At least" and "at most," and mean, variance, and standard deviation, Sampling distribution of the sample proportion, Confidence interval for a population mean, Confidence interval for a population proportion, Significance level and type I and II errors, Test statistics for one- and two-tailed tests, Hypothesis testing for the population proportion, Coefficient of determination and root-mean-square error, AWS Certified Solutions Architect - Associate, Current probability and statistics students, or students about to start probability and statistics who are looking to get ahead, Homeschool parents looking for extra support with probability and statistics, Anyone who wants to study math for fun after being away from school for a while. Both Probability and Statistics and Statistical Reasoning include four units, with different Probability units (Unit 3), as outlined below. The students of Statistics, Mathematics, computer science etc., will be benefited with this course. Alexander M. Mood, Franklin A. Graybill and Duane C. Boes, Introduction to the Theory of Statistics, 3rd Ed., Tata McGraw- Hill, Reprint 2007.
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