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The Student and Tutor extensively covered inferential statistics, focusing on the T-test and confidence intervals for population proportion. They discussed hypothesis formulation, formula application, T-table interpretation, and criteria for distinguishing between Z-tests and T-tests. The session also introduced concepts like population and sample proportion, their sampling distributions, and assumptions for confidence interval construction, culminating in a practice problem for calculating a confidence interval. The Student will practice T-test problems, and the plan is to cover more modules and prepare for exams in the coming week.

The Student and Tutor reviewed core concepts of hypothesis testing, including null and alternate hypotheses, Z-test application criteria, one-tailed vs. two-tailed tests, level of significance (alpha), and Type I/II errors. They practiced solving two Z-test problems from start to finish. The Tutor assigned practice questions and planned to cover the Central Limit Theorem and T-tests in the next session.

Student and Tutor began Module 6, focusing on Hypothesis Testing. They covered the foundational concepts, types of hypotheses, and the step-by-step process of applying Z-tests with a practical example. The Student will share the upcoming module materials (7, 8, 9) with the Tutor to continue their studies.

The Tutor and Student focused on inferential statistics, specifically differentiating between Z-tests and T-tests for calculating confidence intervals. They covered the conceptual differences between one-tailed and two-tailed distributions and practiced applying both Z-test and T-test formulas with real data, including using statistical tables for critical values. The next steps involve continuing with the next module in a future session.

The session began with the Student and Tutor discussing the Student's midterm results and planning for the upcoming final exam, including the intention to cover previously missed modules and schedule more frequent classes. The main academic content focused on introducing and calculating confidence intervals in Statistics, covering definitions, components, confidence levels, alpha values, and the Z-distribution formula. The Student was assigned to practice a similar problem, and future, longer sessions were planned.

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.