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The tutor and student worked through a practice midterm exam covering statistical concepts. They reviewed data visualization, measures of central tendency and variability, inferential statistics, normal distribution, z-scores, and percentiles, creating a comprehensive cheat sheet with key formulas and definitions. The student was encouraged to schedule additional sessions if needed before their upcoming exam.

The Student and Tutor engaged in an introductory SAT Math session covering fundamental algebraic concepts. They reviewed linear and quadratic equations, functions, exponents, and polynomial division, with the Student practicing problem-solving techniques for each topic. The session concluded with a discussion about a comprehensive study plan for SAT and pre-calculus topics, recommending an early start to prepare for the upcoming exam.

The Student and Tutor reviewed core concepts in probability and statistics, including the Probability Density Function (PDF) and Cumulative Distribution Function (CDF) for uniform distributions. They also explored the definitions and calculations of expected value (mean) and population variance, applying shortcut formulas for uniform distribution problems. The Student plans to schedule future lessons and study for an upcoming exam, sending relevant module materials to the Tutor for exam preparation.

The class covered fundamental probability concepts including the multiplication rule for independent events, complementary events, and the definition and application of random variables. The tutor and student also discussed the distinction between discrete and continuous random variables and introduced the concepts of probability mass functions and probability density functions.

The tutor administered a theoretical test covering topics in econometrics and statistics. The student demonstrated a solid understanding of concepts like dummy variables, heteroscedasticity, hypothesis testing at different significance levels, and weighted least squares. The next session will focus on practice problems similar to exam questions.

The class focused on econometric concepts, specifically addressing heteroskedasticity and omitted variable bias. The tutor and student worked through a problem involving the Breusch-Pagan-Godfrey test for heteroskedasticity and discussed methods for correcting it, such as robust standard errors and WLS. They also examined omitted variable bias in a wage regression model, identifying potential missing variables and solutions like proxy variables, instrumental variables, and fixed effects.