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The Tutor and Student reviewed statistical concepts including sampling distributions, confidence intervals, and hypothesis testing. They practiced calculating confidence intervals using Z and T distributions and applying hypothesis testing methods for means and proportions. The next session is scheduled for the following morning to continue this instruction.

The tutor and student reviewed the concept of normal distribution, its properties, density function, and the standard normal distribution using z-scores. They practiced calculating probabilities and percentiles associated with normal distributions, and discussed the empirical rules for data distribution within standard deviations.

The Student and Tutor reviewed various fundamental concepts in Statistics, including measures of spread (range, variance, standard deviation), data visualization tools (percentiles, quartiles, box plots, contingency tables, bar charts, scatter plots), and basic probability theory. They practiced applying formulas for these concepts and discussed the properties of discrete and continuous random variables, along with their respective mean and variance calculations. The session concluded with plans for two follow-up classes to cover remaining material.

The Student and Tutor engaged in an introductory session on Statistics, covering fundamental concepts such as descriptive and inferential statistics, types of data, levels of measurement, and various methods for data organization and visualization. They also discussed measures of central tendency (mean, median, and mode), their properties, and practiced related problems. The session concluded with planning for a longer class to cover more modules before the Student's exam.

The Tutor and Student began Module 12, covering experimental design and the Analysis of Variance (ANOVA) method. They discussed key concepts such as variability, treatments, experimental units, randomization, and replication, and practiced identifying these elements through examples. The next session will focus on creating a cheat sheet and reviewing important questions from previous modules.

The Student and Tutor continued their study of statistics, focusing on linear regression models and related concepts. They covered lurking variables, the components of two-variable and multi-variable regression equations, the meaning of the error term, and the interpretation of slope and intercept. The session also included practice questions and a discussion about preparing a cheat sheet for an upcoming exam, with plans to cover the last module and practice further.