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Readme.txt

/.../01_optional-introduction-to-jupyter-and-r/

01_optional-introduction-to-jupyter-and-r_instructions.html

/.../02_introduction-to-anova-and-experimental-design/

01_welcome-and-where-to-find-help_instructions.html

02_information-on-peer-reviews_instructions.html

03_introduction-to-experimental-design.en.srt

03_introduction-to-experimental-design.en.txt

03_introduction-to-experimental-design.mp4

04_introduction-to-anova-and-experimental-design_exam.html

/.../03_the-one-way-anova-and-ancova-models/

01_the-one-way-anova-and-ancova-models.en.srt

01_the-one-way-anova-and-ancova-models.en.txt

01_the-one-way-anova-and-ancova-models.mp4

02_the-one-way-anova-and-ancova-models_exam.html

/.../04_anova-variance-decomposition/

01_anova-variance-decomposition.en.srt

01_anova-variance-decomposition.en.txt

01_anova-variance-decomposition.mp4

02_anova-variance-decomposition_exam.html

/.../05_anova-sums-of-squares-and-the-f-test/

01_anova-sums-of-squares-and-the-f-test.en.srt

01_anova-sums-of-squares-and-the-f-test.en.txt

01_anova-sums-of-squares-and-the-f-test.mp4

02_anova-sums-of-squares-and-the-f-test_exam.html

/.../06_anova-and-ancova-as-regression-models/

01_anova-and-ancova-as-regression-models.en.srt

01_anova-and-ancova-as-regression-models.en.txt

01_anova-and-ancova-as-regression-models.mp4

02_anova-and-ancova-as-regression-models_exam.html

/.../07_one-way-anova-interpretation-in-the-regression-context/

01_one-way-anova-interpretation-in-the-regression-context.en.srt

01_one-way-anova-interpretation-in-the-regression-context.en.txt

01_one-way-anova-interpretation-in-the-regression-context.mp4

02_one-way-anova-interpretation-in-the-regression-context_exam.html

/.../08_the-ancova-model/

01_the-ancova-model.en.srt

01_the-ancova-model.en.txt

01_the-ancova-model.mp4

02_the-ancova-model_exam.html

/.../09_ancova-with-interactions/

01_ancova-with-interactions.en.srt

01_ancova-with-interactions.en.txt

01_ancova-with-interactions.mp4

02_ancova-with-interactions_exam.html

/.../10_ancova-with-interactions-in-r/

01_ancova-with-interactions-in-r.en.srt

01_ancova-with-interactions-in-r.en.txt

01_ancova-with-interactions-in-r.mp4

02_ancova-with-interactions-in-r_exam.html

/.../11_assignments-one-way-anova-and-ancova/

01_module-1-peer-review-submission_peer_assignment_instructions.html

02_module-1-autograded_instructions.html

/.../01_beyond-the-full-f-test/

01_beyond-the-full-f-test.en.srt

01_beyond-the-full-f-test.en.txt

01_beyond-the-full-f-test.mp4

02_beyond-the-full-f-test_exam.html

/.../02_planned-comparisons-defining-contrasts/

01_planned-comparisons-defining-contrasts.en.srt

01_planned-comparisons-defining-contrasts.en.txt

01_planned-comparisons-defining-contrasts.mp4

02_planned-comparisons-defining-contrasts_exam.html

/.../03_planned-and-unplanned-comparisons/

01_planned-comparisons-hypothesis-testing-with-contrasts.en.srt

01_planned-comparisons-hypothesis-testing-with-contrasts.en.txt

01_planned-comparisons-hypothesis-testing-with-contrasts.mp4

02_post-hoc-comparisons.en.srt

02_post-hoc-comparisons.en.txt

02_post-hoc-comparisons.mp4

03_post-hoc-comparisons-in-r.en.srt

03_post-hoc-comparisons-in-r.en.txt

03_post-hoc-comparisons-in-r.mp4

04_planned-and-unplanned-comparisons_exam.html

/.../04_type-ii-error-and-power-in-the-anova-context/

01_type-ii-error-and-power-in-the-anova-context.en.srt

01_type-ii-error-and-power-in-the-anova-context.en.txt

01_type-ii-error-and-power-in-the-anova-context.mp4

02_patrizio-e-tressoldi-and-david-giofre-the-pervasive-avoidance-of-prospective_instructions.html

03_type-ii-error-and-power-in-the-anova-context_exam.html

04_optional-beyond-power-calculations-assessing-type-s-sign-and-type-m-magnitude_instructions.html

04_optional-beyond-power-calculations-assessing-type-s-sign-and-type-m-magnitude_retropower_final.pdf

/.../05_assignments-anova-hypothesis-testing-and-post-hoc-tests/

01_module-2-peer-review-submission_peer_assignment_instructions.html

02_module-2-autograded-assignment_instructions.html

/.../01_motivating-the-two-way-anova-model/

01_motivating-the-two-way-anova-model.en.srt

01_motivating-the-two-way-anova-model.en.txt

01_motivating-the-two-way-anova-model.mp4

02_motivating-the-two-way-anova-model_exam.html

/.../02_the-two-way-anova-model/

01_the-two-way-anova-model.en.srt

01_the-two-way-anova-model.en.txt

01_the-two-way-anova-model.mp4

02_the-two-way-anova-model_exam.html

/.../03_the-two-way-anova-model-as-a-regression-model/

01_the-two-way-anova-model-as-a-regression-model.en.srt

01_the-two-way-anova-model-as-a-regression-model.en.txt

01_the-two-way-anova-model-as-a-regression-model.mp4

02_the-two-way-anova-model-as-a-regression-model_exam.html

/.../04_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations/

01_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations.en.srt

01_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations.en.txt

01_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations.mp4

02_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations_exam.html

/.../05_interactions-in-the-two-way-anova-model-formal-tests/

01_interactions-in-the-two-way-anova-model-formal-tests.en.srt

01_interactions-in-the-two-way-anova-model-formal-tests.en.txt

01_interactions-in-the-two-way-anova-model-formal-tests.mp4

02_interactions-in-the-two-way-anova-model-formal-tests_exam.html

/.../06_two-way-anova-hypothesis-testing-no-interaction/

01_two-way-anova-hypothesis-testing-no-interaction.en.srt

01_two-way-anova-hypothesis-testing-no-interaction.en.txt

01_two-way-anova-hypothesis-testing-no-interaction.mp4

02_two-way-anova-hypothesis-testing-no-interaction_exam.html

03_looking-ahead-two-way-anova-and-experimental-design.en.srt

03_looking-ahead-two-way-anova-and-experimental-design.en.txt

03_looking-ahead-two-way-anova-and-experimental-design.mp4

/.../07_assignments-two-way-anova-and-anova-with-interaction-terms/

01_module-3-peer-review-submission_peer_assignment_instructions.html

02_module-3-autograded-assignment_instructions.html

/.../01_the-conceptual-framework-of-experimental-design/

01_the-conceptual-framework-of-experimental-design.en.srt

01_the-conceptual-framework-of-experimental-design.en.txt

01_the-conceptual-framework-of-experimental-design.mp4

02_the-conceptual-framework-of-experimental-design_exam.html

/.../02_the-completely-randomized-design/

01_the-completely-randomized-design.en.srt

01_the-completely-randomized-design.en.txt

01_the-completely-randomized-design.mp4

02_the-completely-randomized-design_exam.html

/.../03_the-randomized-complete-block-design-rcbd/

01_the-randomized-complete-block-design-rcbd.en.srt

01_the-randomized-complete-block-design-rcbd.en.txt

01_the-randomized-complete-block-design-rcbd.mp4

02_the-randomized-complete-block-design-rcbd-hypothesis-testing.en.srt

02_the-randomized-complete-block-design-rcbd-hypothesis-testing.en.txt

02_the-randomized-complete-block-design-rcbd-hypothesis-testing.mp4

03_the-randomized-complete-block-design-rcbd_exam.html

/.../04_the-factorial-design/

01_the-factorial-design.en.srt

01_the-factorial-design.en.txt

01_the-factorial-design.mp4

02_the-factorial-design_exam.html

/.../05_further-issues-in-experimental-design/

01_further-issues-in-experimental-design.en.srt

01_further-issues-in-experimental-design.en.txt

01_further-issues-in-experimental-design.mp4

02_causation-and-experimental-design_23639_Chapter_5___Causation_and_Experimental_Design.pdf

02_causation-and-experimental-design_instructions.html

03_ethical-issues-in-experimental-design.en.srt

03_ethical-issues-in-experimental-design.en.txt

03_ethical-issues-in-experimental-design.mp4

04_resources-on-ethics_21_yale_j.l._tech._special_issue_27.pdf

04_resources-on-ethics_Experimental_evidence_of_massive-scale_emotional_contagion_through_social_networks.pdf

04_resources-on-ethics_instructions.html

05_further-issues-in-experimental-design_exam.html

/.../06_assignments-crd-rcbd-and-other-experimental-designs/

01_module-4-peer-review-submission_peer_assignment_instructions.html

02_module-4-autograded-assignment_instructions.html

/.../01_jupyter-notebooks-used-in-lectures/

01__ANCOVA_with_interactions_in_R.ipynb

01__A_completely_randomized_design_in_R.ipynb

01__Planned_comparisons_using_contrasts_in_R.ipynb

01__Two-way_ANOVA-a_full_analysis_DONT_POST.ipynb

01__resources.html

/.../01_optional-introduction-to-jupyter-and-r/

01_optional-introduction-to-jupyter-and-r_instructions.html

/.../02_introduction-to-generalized-linear-models/

01_welcome-and-where-to-find-help_instructions.html

02_information-on-peer-reviews_instructions.html

03_from-linear-models-to-generalized-linear-models.en.srt

03_from-linear-models-to-generalized-linear-models.en.txt

03_from-linear-models-to-generalized-linear-models.mp4

04_the-components-of-a-glm.en.srt

04_the-components-of-a-glm.en.txt

04_the-components-of-a-glm.mp4

05_the-exponential-family-of-distributions.en.srt

05_the-exponential-family-of-distributions.en.txt

05_the-exponential-family-of-distributions.mp4

06_introduction-to-generalized-linear-models_exam.html

/.../03_binomial-regression/

01_introduction-to-binomial-regression.en.srt

01_introduction-to-binomial-regression.en.txt

01_introduction-to-binomial-regression.mp4

02_binomial-regression-parameter-estimation.en.srt

02_binomial-regression-parameter-estimation.en.txt

02_binomial-regression-parameter-estimation.mp4

03_interpretation-of-binomial-regression.en.srt

03_interpretation-of-binomial-regression.en.txt

03_interpretation-of-binomial-regression.mp4

04_binomial-regression-in-r.en.srt

04_binomial-regression-in-r.en.txt

04_binomial-regression-in-r.mp4

05_binomial-regression_exam.html

/.../04_binomial-regression-and-goodness-of-fit/

01_binomial-regression-inference_exam.html

/.../05_ethical-issues-in-statistics-and-data-science/

01_fairml-book-introduction_instructions.html

01_fairml-book-introduction_introduction.html

02_ethical-issues-in-statistics-and-data-science-fair-ml-intro_introduction.html

02_ethical-issues-in-statistics-and-data-science-fair-ml-intro_peer_assignment_instructions.html

/.../06_assignments-glms-for-binomial-data/

01_module-1-peer-review-assignment-submission_peer_assignment_instructions.html

02_module-1-autograded-assignment_instructions.html

/.../01_poisson-regression-basics/

01_poisson-regression-a-new-model-for-count-data.en.srt

01_poisson-regression-a-new-model-for-count-data.en.txt

01_poisson-regression-a-new-model-for-count-data.mp4

02_poisson-regression-parameter-estimation.en.srt

02_poisson-regression-parameter-estimation.en.txt

02_poisson-regression-parameter-estimation.mp4

03_interpreting-the-poisson-regression-model.en.srt

03_interpreting-the-poisson-regression-model.en.txt

03_interpreting-the-poisson-regression-model.mp4

04_poisson-regression-on-real-data-in-r.en.srt

04_poisson-regression-on-real-data-in-r.en.txt

04_poisson-regression-on-real-data-in-r.mp4

05_poisson-regression-basics_exam.html

/.../02_poisson-regression-inference-and-goodness-of-fit/

01_goodness-of-fit-for-poisson-regression-i.en.srt

01_goodness-of-fit-for-poisson-regression-i.en.txt

01_goodness-of-fit-for-poisson-regression-i.mp4

02_goodness-of-fit-for-poisson-regression-ii.en.srt

02_goodness-of-fit-for-poisson-regression-ii.en.txt

02_goodness-of-fit-for-poisson-regression-ii.mp4

03_overdispersion.en.srt

03_overdispersion.en.txt

03_overdispersion.mp4

04_poisson-regression-inference-and-goodness-of-fit_exam.html

/.../03_assignments-glms-for-count-data/

01_module-2-peer-review-lab-submission_peer_assignment_instructions.html

02_module-2-autograded-assignment_instructions.html

/.../01_nonparametric-regression-theory/

01_introduction-to-nonparametric-regression-models.en.srt

01_introduction-to-nonparametric-regression-models.en.txt

01_introduction-to-nonparametric-regression-models.mp4

02_motivating-kernel-estimators.en.srt

02_motivating-kernel-estimators.en.txt

02_motivating-kernel-estimators.mp4

03_kernel-estimators.en.srt

03_kernel-estimators.en.txt

03_kernel-estimators.mp4

04_smoothing-splines.en.srt

04_smoothing-splines.en.txt

04_smoothing-splines.mp4

05_loess-locally-estimated-scatterplot-smoothing.en.srt

05_loess-locally-estimated-scatterplot-smoothing.en.txt

05_loess-locally-estimated-scatterplot-smoothing.mp4

06_nonparametric-regression-theory_exam.html

/.../02_nonparametric-regression-data-analysis/

01_kernel-estimation-in-r.en.srt

01_kernel-estimation-in-r.en.txt

01_kernel-estimation-in-r.mp4

/.../03_assignments-nonparametric-regression-and-smoothing-functions/

01_module-3-peer-review-assignment-submission_peer_assignment_instructions.html

02_module-3-autograded-assignment_instructions.html

/.../01_generalized-additive-models-basics/

01_required-generalized-additive-models-for-data-science_GAM_The_Predictive_Modeling_Silver_Bullet_-_Stitch_Fix_Technology__Multithreaded.pdf

01_required-generalized-additive-models-for-data-science_instructions.html

02_motivating-generalized-additive-models.en.srt

02_motivating-generalized-additive-models.en.txt

02_motivating-generalized-additive-models.mp4

03_generalized-additive-models-in-r.en.srt

03_generalized-additive-models-in-r.en.txt

03_generalized-additive-models-in-r.mp4

04_generalized-additive-models-basics_exam.html

/.../02_generalized-additive-models-inference-and-data-analysis/

01_inference-with-generalized-additive-models-effective-degrees-of-freedom.en.srt

01_inference-with-generalized-additive-models-effective-degrees-of-freedom.en.txt

01_inference-with-generalized-additive-models-effective-degrees-of-freedom.mp4

02_inference-with-generalized-additive-models-tests.en.srt

02_inference-with-generalized-additive-models-tests.en.txt

02_inference-with-generalized-additive-models-tests.mp4

03_generalized-additive-models-in-r-inference-and-interpretation.en.srt

03_generalized-additive-models-in-r-inference-and-interpretation.en.txt

03_generalized-additive-models-in-r-inference-and-interpretation.mp4

04_generalized-additive-models-a-complete-example-with-real-data.en.srt

04_generalized-additive-models-a-complete-example-with-real-data.en.txt

04_generalized-additive-models-a-complete-example-with-real-data.mp4

05_generalized-additive-models-inference-and-data-analysis_exam.html

/.../03_assignments-gams/

01_module-4-peer-review-assignment-submission_peer_assignment_instructions.html

02_module-4-autograded-assignment_instructions.html

/.../01_jupyter-notebooks-used-in-lectures/

01__Assessing_the_fit_of_the_binomial_regression_model.ipynb

01__Binomial_regression_in_R.ipynb

01__C3M3T8_Loess_in_R.ipynb

01__Generalized_additive_models_-_A_complete_example_with_real_data.ipynb

01__Generalized_additive_models_in_R-inference_and_interpretation.ipynb

01__Generalized_additive_models_in_R.ipynb

01__Poisson_regression_goodness_of_fit_in_R_C3M2T8.ipynb

01__Poisson_regression_on_real_data_in_R.ipynb

01__Smoothing_splines_in_R.ipynb

01__resources.html

/.../01_optional-introduction-to-r-and-jupyter/

01_optional-introduction-to-jupyter-and-r_instructions.html

/.../02_introduction-to-statistical-modeling/

01_welcome-and-where-to-find-help_instructions.html

02_information-on-peer-reviews_instructions.html

03_frameworks-and-goals-of-statistical-modeling.en.srt

03_frameworks-and-goals-of-statistical-modeling.en.txt

03_frameworks-and-goals-of-statistical-modeling.mp4

04_the-assumption-of-concept-validity.en.srt

04_the-assumption-of-concept-validity.en.txt

04_the-assumption-of-concept-validity.mp4

05_introduction-to-statistical-modeling_exam.html

/.../03_the-linear-regression-model/

01_the-linear-regression-model.en.srt

01_the-linear-regression-model.en.txt

01_the-linear-regression-model.mp4

02_matrix-representation-of-the-linear-regression-model.en.srt

02_matrix-representation-of-the-linear-regression-model.en.txt

02_matrix-representation-of-the-linear-regression-model.mp4

03_assumptions-of-linear-regression.en.srt

03_assumptions-of-linear-regression.en.txt

03_assumptions-of-linear-regression.mp4

04_the-appropriateness-of-linear-regression.en.srt

04_the-appropriateness-of-linear-regression.en.txt

04_the-appropriateness-of-linear-regression.mp4

05_interpreting-the-linear-regression-model-i.en.srt

05_interpreting-the-linear-regression-model-i.en.txt

05_interpreting-the-linear-regression-model-i.mp4

06_interpreting-the-linear-regression-model-ii.en.srt

06_interpreting-the-linear-regression-model-ii.en.txt

06_interpreting-the-linear-regression-model-ii.mp4

07_the-linear-regression-model_exam.html

/.../04_assignments-linear-regression-and-standardization/

01_module-1-peer-review-submission_peer_assignment_instructions.html

02_module-1-autograded_instructions.html

/.../01_least-squares/

01_introduction-to-least-squares.en.srt

01_introduction-to-least-squares.en.txt

01_introduction-to-least-squares.mp4

02_linear-algebra-for-least-squares.en.srt

02_linear-algebra-for-least-squares.en.txt

02_linear-algebra-for-least-squares.mp4

03_deriving-the-least-squares-solution.en.srt

03_deriving-the-least-squares-solution.en.txt

03_deriving-the-least-squares-solution.mp4

04_regression-modeling-in-r-a-first-pass.en.srt

04_regression-modeling-in-r-a-first-pass.en.txt

04_regression-modeling-in-r-a-first-pass.mp4

05_justifying-least-squares-the-gauss-markov-theorem-and-maximum-likelihood.en.srt

05_justifying-least-squares-the-gauss-markov-theorem-and-maximum-likelihood.en.txt

05_justifying-least-squares-the-gauss-markov-theorem-and-maximum-likelihood.mp4

06_least-squares_exam.html

/.../02_variability-and-identifiability-in-regression-models/

01_sums-of-squares-and-estimating-the-error-variance.en.srt

01_sums-of-squares-and-estimating-the-error-variance.en.txt

01_sums-of-squares-and-estimating-the-error-variance.mp4

02_the-coefficient-of-determination.en.srt

02_the-coefficient-of-determination.en.txt

02_the-coefficient-of-determination.mp4

03_the-problem-of-non-identifiabiliity.en.srt

03_the-problem-of-non-identifiabiliity.en.txt

03_the-problem-of-non-identifiabiliity.mp4

04_regression-modeling-in-r-a-second-pass.en.srt

04_regression-modeling-in-r-a-second-pass.en.txt

04_regression-modeling-in-r-a-second-pass.mp4

05_variability-and-identifiability-in-regression-models_exam.html

/.../03_assignments-least-squares-parameter-estimation-and-interpreting-slr-models/

01_module-2-peer-review-submission_peer_assignment_instructions.html

02_module-2-autograded-assignment_instructions.html

/.../01_statistical-inference-introduction-and-t-tests/

01_motivating-statistical-inference-in-the-linear-regression-context.en.srt

01_motivating-statistical-inference-in-the-linear-regression-context.en.txt

01_motivating-statistical-inference-in-the-linear-regression-context.mp4

02_the-sampling-distribution-of-the-least-squares-estimator.en.srt

02_the-sampling-distribution-of-the-least-squares-estimator.en.txt

02_the-sampling-distribution-of-the-least-squares-estimator.mp4

03_t-tests-for-individual-regression-parameters.en.srt

03_t-tests-for-individual-regression-parameters.en.txt

03_t-tests-for-individual-regression-parameters.mp4

04_t-tests-in-r.en.srt

04_t-tests-in-r.en.txt

04_t-tests-in-r.mp4

05_statistical-inference-intro-and-t-tests_exam.html

/.../02_statistical-inference-the-f-tests-and-confidence-intervals/

01_motivating-the-f-test-multiple-statistical-comparisons.en.srt

01_motivating-the-f-test-multiple-statistical-comparisons.en.txt

01_motivating-the-f-test-multiple-statistical-comparisons.mp4

02_the-f-test.en.srt

02_the-f-test.en.txt

02_the-f-test.mp4

03_the-f-test-in-r.en.srt

03_the-f-test-in-r.en.txt

03_the-f-test-in-r.mp4

04_confidence-intervals-in-the-regression-contextconfidence-intervals-in-the.en.srt

04_confidence-intervals-in-the-regression-contextconfidence-intervals-in-the.en.txt

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01_ethics-in-statistical-practice-and-communication-five-recommendations_Ethics_in_statistical_practice_and_communication.pdf

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01__C1M5T6.ipynb

01__Making_predictions_using_real_data_in_R.ipynb

01__Model_Selection_in_R.ipynb

01__Regression_modeling_in_R_-_a_first_pass1.ipynb

01__Regression_modeling_in_R_-_a_second_pass.ipynb

01__The_F-test_in_R.ipynb

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