“𝘚𝘪𝘮𝘱𝘴𝘰𝘯'𝘴 𝘗𝘢𝘳𝘢𝘥𝘰𝘹 𝘪𝘴 𝘸𝘩𝘦𝘯 𝘺𝘰𝘶 𝘩𝘢𝘷𝘦 𝘴𝘰𝘮𝘦 𝘥𝘢𝘵𝘢, 𝘢𝘯𝘥 𝘺𝘰𝘶 𝘧𝘰𝘶𝘯𝘥 𝘢 𝘵𝘳𝘦𝘯𝘥 𝘶𝘴𝘪𝘯𝘨 𝘳𝘦𝘨𝘳𝘦𝘴𝘴𝘪𝘰𝘯, 𝘢𝘯𝘥 𝘪𝘵'𝘴 𝘢 𝘱𝘰𝘴𝘪𝘵𝘪𝘷𝘦 𝘵𝘳𝘦𝘯𝘥. 𝘉𝘶𝘵 𝘸𝘩𝘦𝘯 𝘺𝘰𝘶 𝘢𝘥𝘥 𝘢𝘯𝘰𝘵𝘩𝘦𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦, 𝘭𝘦𝘵'𝘴 𝘴𝘢𝘺 𝘺𝘰𝘶'𝘷𝘦 𝘵𝘸𝘰 𝘺𝘦𝘢𝘳𝘴' 𝘸𝘰𝘳𝘵𝘩 𝘰𝘧 𝘥𝘢𝘵𝘢, 𝘺𝘰𝘶 𝘮𝘪𝘨𝘩𝘵 𝘧𝘪𝘯𝘥 𝘵𝘩𝘢𝘵 𝘵𝘩𝘦 𝘵𝘳𝘦𝘯𝘥 𝘭𝘪𝘯𝘦 𝘪𝘴 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘵𝘩𝘦 𝘰𝘱𝘱𝘰𝘴𝘪𝘵𝘦 𝘸𝘢𝘺, 𝘣𝘶𝘵 𝘵𝘩𝘦 𝘵𝘸𝘰 𝘺𝘦𝘢𝘳𝘴 𝘰𝘧 𝘥𝘢𝘵𝘢 𝘢𝘳𝘦 𝘧𝘢𝘳 𝘦𝘯𝘰𝘶𝘨𝘩 𝘢𝘱𝘢𝘳𝘵 𝘵𝘩𝘢𝘵 𝘪𝘵 𝘪𝘯𝘤𝘰𝘳𝘳𝘦𝘤𝘵𝘭𝘺 𝘤𝘢𝘶𝘴𝘦𝘴 𝘺𝘰𝘶 𝘵𝘰 𝘴𝘦𝘦 𝘤𝘰𝘳𝘳𝘦𝘭𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘰𝘱𝘱𝘰𝘴𝘪𝘵𝘦 𝘥𝘪𝘳𝘦𝘤𝘵𝘪𝘰𝘯.” – 𝗗𝗿. 𝗚𝗮𝗿𝘁𝗵 𝗛𝗶𝗴𝗵𝗹𝗮𝗻𝗱

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𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗹𝗲𝗮𝗿𝗻:

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1. Using simulation to quantify variation in outcomes;

2. Risk projections;

3. Bayesian vs. frequentist statistics;

4. Distribution of ADG, shrink, and carcass yield;

5. Power analysis;

6. Simpson’s Paradox.

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𝗠𝗲𝗲𝘁 𝘁𝗵𝗲 𝗴𝘂𝗲𝘀𝘁: Dr. Garth Highland is an experienced statistician and R&D specialist with a demonstrated history of innovation. Highly skilled in the nuances of appropriately applying statistical and data science methods to inform valuable business decisions. Nowadays, he is a data scientist at HDR, a company specializing in environmental and construction services.