Binomial Distribution Total Running Time: 04:31 Binomial Distribution, standard deviation Binomial Distribution
Displaying and Describing Quantitative Data Total Running Time: 25:19 boxplots, five number summary, mean, median, mode, variance, z-score Displaying and Describing Quantitative Data
Displaying Describing Quantitative Data PT2 Total Running Time: 24:36 mean, median, mode, outliers, range, standard deviation, z-score Displaying Describing Quantitative Data PT2
Evaluating a Loss Exposure Total Running Time: 05:21 black swan event, coefficient of variation, standard deviation Evaluating a Loss Exposure
Expected Value Total Running Time: 13:22 expected value, random variables, standard deviation Expected Value
Measuring risk and return Total Running Time: 15:08 Expected returns, historical returns, standard deviation Measuring risk and return
Numerical Measures of Central Tendency Total Running Time: 06:57 mean, median, mode Numerical Measures of Central Tendency
Numerical Measures of Variability Total Running Time: 07:49 range, standard deviation, variance Numerical Measures of Variability
Relating Sales, Lost Sales, and Leftover Inventory in Single-period Continuous Demand Total Running Time: 10:55 Continuous Demand, Inventory Management, normal distribution, Service Level, Single-period Ordering, uncertainty Relating Sales, Lost Sales, and Leftover Inventory in Single-period Continuous Demand
Review of Inference Hypothesis Tests Total Running Time: 30:06 known, mean, parameter, population, unknown Review of Inference Hypothesis Tests
Review of Simple Regression Total Running Time: 27:40 calculate, coefficient of determination, interpret, linear regression model, residuals, standard deviation Review of Simple Regression
Single-period Inventory for Continuous Uncertain Demand Total Running Time: 12:01 Continuous Demand, Inventory Management, normal distribution, Service Level, Single-period Ordering, uncertainty Single-period Inventory for Continuous Uncertain Demand
Types of Random Variables Total Running Time: 09:06 expected value, probability distribution, standard deviation Types of Random Variables