diff --git a/.nojekyll b/.nojekyll
index c3af2d3..688747a 100644
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+++ b/.nojekyll
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diff --git a/index.html b/index.html
index 6ce45da..0c4707a 100644
--- a/index.html
+++ b/index.html
@@ -315,15 +315,15 @@
Grading breakdown
10% |
-WeBWorK homeworks |
+WeBWorK mini-homeworks |
10% |
-Assignment 1 |
+Homework 1 |
5% |
-Assignment 2 |
+Homework 2 |
5% |
@@ -351,9 +351,9 @@ Schedule at a glance<
-
-
-
+
+
+
|
@@ -404,7 +404,7 @@ Schedule at a glance<
Lucy |
Prediction intervals |
Confidence and prediction intervals |
-Quiz 5/6, Lab Activity 2, HW 2 |
+Quiz 5/6, Lab Activity 2, Mini-HW 2 |
|
@@ -420,7 +420,7 @@ Schedule at a glance<
Lucy |
Matrix formulation of linear models |
Matrix representation of linear models |
-Quiz 7/8, Lab Activity 3, HW 3 |
+Quiz 7/8, Lab Activity 3, Mini-HW 3 |
|
@@ -436,7 +436,7 @@ Schedule at a glance<
Lucy |
Properties of residuals |
Further properties of residuals and (OPTIONAL) Advanced distribution theory |
-Quiz 9/10, Lab Activity 4, HW 4 |
+Quiz 9/10, Lab Activity 4, Mini-HW 4 |
|
@@ -452,7 +452,7 @@ Schedule at a glance<
Lucy |
More on categorical variables |
Advanced dummy variables |
-Quiz 11/12, Lab Activity 5, HW 5 |
+Quiz 11/12, Lab Activity 5, Mini-HW 5 |
|
@@ -484,7 +484,7 @@ Schedule at a glance<
Tiffany |
Case studies |
Research studies |
-Quiz 13/14, HW 6, Assignment 1 |
+Quiz 13/14, Mini-HW 6, HW 1 |
|
@@ -500,7 +500,7 @@ Schedule at a glance<
Lucy |
Model selection |
Model selection methods |
-Quiz 15/16, Lab Activity 6, HW 7, Group project proposal |
+Quiz 15/16, Lab Activity 6, Mini-HW 7, Group project proposal |
|
@@ -516,7 +516,7 @@ Schedule at a glance<
Lucy |
Transformations |
Transformations |
-Quiz 17/18, Lab Activity 7, HW 8 |
+Quiz 17/18, Lab Activity 7, Mini-HW 8 |
|
@@ -532,7 +532,7 @@ Schedule at a glance<
Lucy |
Modelling a binary response |
Modelling a binary response |
-Quiz 19/20, Lab Activity 8, HW 9, Group project peer review |
+Quiz 19/20, Lab Activity 8, Mini-HW 9, Group project peer review |
|
@@ -548,7 +548,7 @@ Schedule at a glance<
Lucy |
Model selection in logistic regression |
Likelihood and deviance |
-Quiz 21/22, HW 10, Assignment 2 |
+Quiz 21/22, Mini-HW 10, HW 2 |
|
@@ -564,7 +564,7 @@ Schedule at a glance<
Tiffany |
Further Poisson regression |
Likelihood and deviance and (OPTIONAL) Generalized linear models |
-Quiz 23/24, Lab Activity 9, HW 11, Complete group project |
+Quiz 23/24, Lab Activity 9, Mini-HW 11, Complete group project |
|
diff --git a/search.json b/search.json
index 7cb3caf..097cecf 100644
--- a/search.json
+++ b/search.json
@@ -110,7 +110,7 @@
"href": "index.html#assessment",
"title": "Syllabus",
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- "text": "Assessment\n\nGrading breakdown\n\n\n\nDeliverable\nGrade\n\n\n\n\niClicker cloud\n5%\n\n\nPre-class quizzes\n5%\n\n\nLab activities\n10%\n\n\nWeBWorK homeworks\n10%\n\n\nAssignment 1\n5%\n\n\nAssignment 2\n5%\n\n\nGroup project\n10%\n\n\nMid-term Exam\n20%\n\n\nFinal Exam\n30%",
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- "text": "Schedule at a glance\n\n\n\n\n\n\n\n\n\n\n\n\n\nWeek\nLecture Dates\nInstructor\nTopic\nPre-work (Pencast)\nAssessments due\n\n\n\n\n1\n2025-01-07\nLucy\nIntroduction to STAT 306\nIntroduction to relationships in data\nQuiz 1/2\n\n\n\n2025-01-09\nTiffany\nLeast square estimation\nLeast square estimation\n\n\n\n2\n2025-01-14\nLucy\nProperties of the simple linear model\nResiduals and (OPTIONAL) Normal probability plots\nQuiz 3/4, Lab Activity 1, HW 1\n\n\n\n2025-01-16\nTiffany\nConfidence intervals\nProperties of estimators\n\n\n\n3\n2025-01-21\nLucy\nPrediction intervals\nConfidence and prediction intervals\nQuiz 5/6, Lab Activity 2, HW 2\n\n\n\n2025-01-23\nTiffany\nInference in regression\nDistributional theory\n\n\n\n4\n2025-01-28\nLucy\nMatrix formulation of linear models\nMatrix representation of linear models\nQuiz 7/8, Lab Activity 3, HW 3\n\n\n\n2025-01-30\nTiffany\nProperties of least squares estimators\nEstimator properties in matrix form\n\n\n\n5\n2025-02-04\nLucy\nProperties of residuals\nFurther properties of residuals and (OPTIONAL) Advanced distribution theory\nQuiz 9/10, Lab Activity 4, HW 4\n\n\n\n2025-02-06\nTiffany\nCategorical variables\nDummy variables in linear models\n\n\n\n6\n2025-02-11\nLucy\nMore on categorical variables\nAdvanced dummy variables\nQuiz 11/12, Lab Activity 5, HW 5\n\n\n\n2025-02-13\nTiffany\nQuadratic models and curve fitting\nCollinearity\n\n\n\n7\n2025-02-18\n\nMidterm break\n\n\n\n\n\n2025-02-20\n\n\n\n\n\n\n8\n2025-02-25\nTiffany\nCase studies\nResearch studies\nQuiz 13/14, HW 6, Assignment 1\n\n\n\n2025-02-27\nTiffany\nPartial correlation and midterm review\nPartial correlation\n\n\n\n9\n2025-03-04\nLucy\nModel selection\nModel selection methods\nQuiz 15/16, Lab Activity 6, HW 7, Group project proposal\n\n\n\n2025-03-06\nTiffany\nLeverage and influence\nInfluence, leverage, and outliers\n\n\n\n10\n2025-03-11\nLucy\nTransformations\nTransformations\nQuiz 17/18, Lab Activity 7, HW 8\n\n\n\n2025-03-13\nTiffany\nContinuous interactions\nInteraction between continuous covariates\n\n\n\n11\n2025-03-18\nLucy\nModelling a binary response\nModelling a binary response\nQuiz 19/20, Lab Activity 8, HW 9, Group project peer review\n\n\n\n2025-03-20\nTiffany\nFurther logistic regression/PCA\nPrincipal components analysis\n\n\n\n12\n2025-03-25\nLucy\nModel selection in logistic regression\nLikelihood and deviance\nQuiz 21/22, HW 10, Assignment 2\n\n\n\n2025-03-27\nLucy\nPoisson regression/PCR\nPrincipal components regression\n\n\n\n13\n2025-03-01\nTiffany\nFurther Poisson regression\nLikelihood and deviance and (OPTIONAL) Generalized linear models\nQuiz 23/24, Lab Activity 9, HW 11, Complete group project\n\n\n\n2025-04-03\nLucy\nFinal review\n\n\n\n\n14\n2025-04-08\nTiffany\nTBD\n\n\n\n\n\n\n\n\nAssessment schedule\nIn general:\n\nPre-class quizzes will be due the night 11:59 PM on Mondays and Wednesdays\nEverything else will be due 11:59 PM on Saturdays\n\nHowever, in the final week of classes, all assessments need to be submitted by the final day of classes, thus we have two alternative due dates that week.",
+ "text": "Schedule at a glance\n\n\n\n\n\n\n\n\n\n\n\n\n\nWeek\nLecture Dates\nInstructor\nTopic\nPre-work (Pencast)\nAssessments due\n\n\n\n\n1\n2025-01-07\nLucy\nIntroduction to STAT 306\nIntroduction to relationships in data\nQuiz 1/2\n\n\n\n2025-01-09\nTiffany\nLeast square estimation\nLeast square estimation\n\n\n\n2\n2025-01-14\nLucy\nProperties of the simple linear model\nResiduals and (OPTIONAL) Normal probability plots\nQuiz 3/4, Lab Activity 1, Mini-HW 1\n\n\n\n2025-01-16\nTiffany\nConfidence intervals\nProperties of estimators\n\n\n\n3\n2025-01-21\nLucy\nPrediction intervals\nConfidence and prediction intervals\nQuiz 5/6, Lab Activity 2, Mini-HW 2\n\n\n\n2025-01-23\nTiffany\nInference in regression\nDistributional theory\n\n\n\n4\n2025-01-28\nLucy\nMatrix formulation of linear models\nMatrix representation of linear models\nQuiz 7/8, Lab Activity 3, Mini-HW 3\n\n\n\n2025-01-30\nTiffany\nProperties of least squares estimators\nEstimator properties in matrix form\n\n\n\n5\n2025-02-04\nLucy\nProperties of residuals\nFurther properties of residuals and (OPTIONAL) Advanced distribution theory\nQuiz 9/10, Lab Activity 4, Mini-HW 4\n\n\n\n2025-02-06\nTiffany\nCategorical variables\nDummy variables in linear models\n\n\n\n6\n2025-02-11\nLucy\nMore on categorical variables\nAdvanced dummy variables\nQuiz 11/12, Lab Activity 5, Mini-HW 5\n\n\n\n2025-02-13\nTiffany\nQuadratic models and curve fitting\nCollinearity\n\n\n\n7\n2025-02-18\n\nMidterm break\n\n\n\n\n\n2025-02-20\n\n\n\n\n\n\n8\n2025-02-25\nTiffany\nCase studies\nResearch studies\nQuiz 13/14, Mini-HW 6, HW 1\n\n\n\n2025-02-27\nTiffany\nPartial correlation and midterm review\nPartial correlation\n\n\n\n9\n2025-03-04\nLucy\nModel selection\nModel selection methods\nQuiz 15/16, Lab Activity 6, Mini-HW 7, Group project proposal\n\n\n\n2025-03-06\nTiffany\nLeverage and influence\nInfluence, leverage, and outliers\n\n\n\n10\n2025-03-11\nLucy\nTransformations\nTransformations\nQuiz 17/18, Lab Activity 7, Mini-HW 8\n\n\n\n2025-03-13\nTiffany\nContinuous interactions\nInteraction between continuous covariates\n\n\n\n11\n2025-03-18\nLucy\nModelling a binary response\nModelling a binary response\nQuiz 19/20, Lab Activity 8, Mini-HW 9, Group project peer review\n\n\n\n2025-03-20\nTiffany\nFurther logistic regression/PCA\nPrincipal components analysis\n\n\n\n12\n2025-03-25\nLucy\nModel selection in logistic regression\nLikelihood and deviance\nQuiz 21/22, Mini-HW 10, HW 2\n\n\n\n2025-03-27\nLucy\nPoisson regression/PCR\nPrincipal components regression\n\n\n\n13\n2025-03-01\nTiffany\nFurther Poisson regression\nLikelihood and deviance and (OPTIONAL) Generalized linear models\nQuiz 23/24, Lab Activity 9, Mini-HW 11, Complete group project\n\n\n\n2025-04-03\nLucy\nFinal review\n\n\n\n\n14\n2025-04-08\nTiffany\nTBD\n\n\n\n\n\n\n\n\nAssessment schedule\nIn general:\n\nPre-class quizzes will be due the night 11:59 PM on Mondays and Wednesdays\nEverything else will be due 11:59 PM on Saturdays\n\nHowever, in the final week of classes, all assessments need to be submitted by the final day of classes, thus we have two alternative due dates that week.",
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index 2fa23f3..f1f7673 100644
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- 2024-07-11T21:27:12.649Z
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https://UBC-STAT.github.io/stat-306-student/index.html
- 2024-07-11T21:27:12.649Z
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