Fundamentals of Sampling-Introduction to Acquisition, Risk and Estimation
Welcome and Where to Find Help
Welcome to Acquisition, Risk and Estimation
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Fundamentals of Sampling-Introduction to Fundamentals of Sampling
Introduction to Fundamentals of Sampling
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Fundamentals of Sampling-Sampling
Sample Versus Population
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Types of Sampling - Part 1
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Types of Sampling - Part 2
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Sampling Error
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Fundamentals of Sampling-Random Sampling Distributions
Random Sampling Distributions - Part 1
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Random Sampling Distributions - Part 2
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Fundamentals of Sampling-Random Sampling Distribution of the Mean
RSD of the Mean
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The Central Limit Theorem
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Solving Problems with the RSD of the Mean Part 1
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Solving Problems with the RSD of the Mean Part 2
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Estimation-Introduction to Estimation
Introduction to Estimation
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Estimation-Estimates and Estimators
Estimators and Point Estimates
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Interval Estimates
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Estimation-Confidence Intervals
Confidence Interval for the Mean, Sigma Known
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Confidence Interval for the Mean, Sigma Unknown
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Confidence Interval for Variance / Standard Deviation
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Confidence Interval for Proportion / Rate (Count)
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Estimation-Estimation Practice Activities
Practice Activity 1
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Practice Activities 2 and 3
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Best Case / Worst Case Analysis-Introduction to Best Case / Worst Case Analysis
Introduction to Best Case / Worst Case Analysis
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Best Case / Worst Case Analysis-Best Case / Worst Case Analysis
Best / Worst Case Analysis Introduction and Step 1
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Best / Worst Case Analysis Steps 2 and 3
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Best / Worst Case Analysis Steps 4 and 5
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Creating the table using RStudio
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Visualization and Joint Probability
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Best Case / Worst Case Analysis-Best / Worst Case Analysis Practice Activities
Best / Worst Case Example 1
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Best / Worst Case Example 2 Part 1
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Best / Worst Case Example 2 Part 2
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Foundations of Hypothesis Testing-Introduction to Foundations of Hypothesis Testing
Introduction to Foundations of Hypothesis Testing
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Foundations of Hypothesis Testing-Hypothesis Testing
Introduction to Hypothesis Testing
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Testing Hypotheses
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Significance Level, Risk, One-Two-Tailed Tests
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Error and Power in Hypothesis Testing
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Foundations of Hypothesis Testing-Beta and Power Calculations
Understanding Beta and Power
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Calculating Beta and Power for Means
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Calculating Beta and Power for Variance
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Calculating Beta and Power for Proportions and Rates
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Foundations of Hypothesis Testing-Sample Size Calculations
Sample Size Calculations for Means
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Sample Size Calculations for Variances
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Sample Size Calculations for Proportions
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Essentials for Effect Size Calculations-Introduction to Essentials for Effect Size Calculations
Introduction to Essentials for Effect Size Calculations
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Essentials for Effect Size Calculations-Introduction to Effect Size Calculations
Essentials for Effect Size Calculations
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Risk Analysis - Implications of Decisions
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Effect Size Calculation OSCD Example Part 1
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Effect Size Calculation OSCD Example Part 2
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Effect Size Calculation OSCD Example Part 3
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Essentials for Effect Size Calculations-Molex Effect Size Problem
Effect Size Calculation for the Mean Part 1
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Effect Size Calculation for the Mean Part 2
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Effect Size Calculation for the Mean Part 3
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Effect Size Calculation for the Standard Deviation
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Effect Size Calculation for the Proportion
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