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Week
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Topics
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Study Metarials
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1
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Statistical Science, Types of Statistical Applications, Basic Elements of Statistics, Data Types, Data Collection Methods
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K1-Chapter-1
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2
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Measures of Central Tendency
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K1-Chapter-2
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3
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Change Measures, Relative Status Measures
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K1-Chapter-2
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4
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Sample Spaces and Events, Concepts of Junction and Intersection, Opposite Events Collection Rule and Mutual Discrete Events
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K2-Chapter-3
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5
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Discrete random variables, Probability Distributions
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K2-Chapter-3
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6
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Continuous Random Variables, Probability Density Function
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K2-Chapter-3
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7
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Discrete Uniform Distribution, Bernoulli Distribution, Binomial Distribution, Hypergeometric Distribution, Poisson Distribution
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K3-Chapter-4
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8
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Normal Distribution, Approximation of Binomial Distribution to Normal Distribution, Exponential Distribution
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K3-Chapter-4
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9
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Example Problem Solving
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K3-Chapter-4
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10
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What is sampling distribution, Central Limit Theorem
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K3-Chapter-5
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11
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Large and Small Sample Range Estimation and Hypothesis Testing for a Population Mean
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K2-Chapter-6
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12
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Large Sample Range Estimation for Two Population Mean Large Sample Range Estimation for a Population Rate Large Sample Range Estimation for a Population
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K2-Chapter-6
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13
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Large Sample Range Estimation for Two Population Ratio Large Sample Range Estimation for Two Population Variance Hypothesis Tests
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K2-Chapter-6
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14
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Chi-square test
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K2-Chapter-7
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