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Syllabus
Calendar
Repository
MATH 155 repository
HOMEWORK
General homework directions
Pre-course survey: Due Friday, September 2 by 6pm
Homework 1: Due Monday, September 5 by 10pm
Homework 2: Due Monday, September 12 by 10pm
Homework 3
: Due Wednesday, September 28 by 10pm (
template
)
Homework 4:
Due Monday, Oct 3 by 10pm (
template
)
Homework 5: Due Monday, Oct 10 by 10pm
(
template
)
Homework 6
: Due Monday, Oct 31 by 10pm
Homework 7: Due Monday, Nov 7 by 10pm (
template
)
Homework 8
: Due Monday, Nov 21 by 10pm (
template
)
CHECKPOINTS
Checkpoint 1
: Due Wednesday, September 7 by 10pm
Checkpoint 2
: Due Wednesday, September 14 by 10pm
Checkpoint 3
: Due Monday, September 19 by 10pm
Checkpoint 4
: Due Wednesday, October 26 by 10pm
ACTIVITIES
Collecting & Visualizing Data
(
solutions
)
Visualizing Relationships
Phase 1: Research questions
Foundations: Modeling Trend Activity
(
template
)
Foundations: Measuring Variability
(
template
)
Multivariate Models: Introductory Concepts
(
template
)
Multivariate Models: Introductory Concepts Part 2
(
template
)
Multivariate Models: Covariates & Interaction
(
template
)
Multivariate Models: Multicollinearity
(
template
)
Multivariate Models: Simpson's Paradox
(
template
)
Logistic Regression: Getting Started
(
template
) + (
solutions
)
Logistic Regression Models
(
template
)
Phase 2: Goals
Sampling Distributions
(
template
)
Confidence Intervals
(
template
) + (
solutions
)
Confidence Intervals for models
(
template
)
Hypothesis Testing for model coefficients
(
template
)
Review + ANOVA
(
template
) + (
solutions
)
SLIDES
Newspaper Discussion (Day 1)
Introduction to Statistical Analysis
Foundations: Modeling Trend
Foundations: Measuring Variability
Multivariate Models: Introductory Concepts
Multivariate Models: Covariates & Interactions
Logistic Regression: Getting Started
Sampling Distributions & Confidence Interval
s
Introduction to Hypothesis Testing
VIDEOS
Introduction to RStudio
+
slides
Exploring the structure of data in RStudio
+
slides
Graphing relationships
+
slides
Reproducible documents with R Markdown
+
slides
Introduction to Statistical Modeling
+
slides
Fitting Models
+
slides
PROJECT
General directions
Phase 1 directions
+
Phase 1 R markdown template
submit Phase 1 report
HERE
Phase 2:
directions
+
template
+
submission
Phase 3:
directions
+
template
+
submission