Statistics I ============ 1. Introduction to Probability ------------------------------ .. toctree:: :maxdepth: 1 1_1_sample_space 1_2_events 1_3_probability_of_an_event 1_4_counting_techniques 1_5_probability_rules 1_6_conditional_probability_multiplication 1_7_independence 1_8_total_probability 1_9_bayes_rule 1_selected_exercises 1_13_exam_1_answers 2. Random Variables and Distribution Fundamentals -------------------------------------------------- .. toctree:: :maxdepth: 1 2_1_random_variables_discrete_continuous 2_2_discrete_probability_distributions 2_3_continuous_probability_distributions 2_4_mean_expected_value 2_5_variance_standard_deviation 3. Discrete Probability Distributions ------------------------------------- .. toctree:: :maxdepth: 1 3_1_recognizing_discrete_probability_models 3_2_discrete_uniform_distribution 3_3_binomial_distribution 3_4_geometric_distribution 3_5_negative_binomial_distribution 3_6_hypergeometric_distribution 3_7_poisson_distribution 4. Continuous Probability Distributions --------------------------------------- .. toctree:: :maxdepth: 1 4_1_recognizing_continuous_probability_models 4_2_continuous_uniform_distribution 4_3_exponential_distribution 4_4_standard_normal_distribution 4_5_normal_distribution