Complete lecture video quiz 1 on Canvas by 11:59 pm on August 2nd (3
attempts allowed for this quiz)
Tuesday Aug 2, 2022
(Google slides: )
Meet in ICS 180 at 1pm for the first day of in person lecture
Wednesday Aug 3, 2022
Meet in DBH 1500 at 4pm for discussion
Discussion R script
Discussion Starbucks data
Watch lecture 2 videos
Section 2.1 Examining numerical data
Section 2.2 Considering categorical data
Complete lecture video quiz 2 on Canvas by 11:59pm on August 3rd
Thursday Aug 4, 2022
Attend lecture at 1pm
Homework 1 released. Due on August 9th at 11:59pm.
Friday Aug 5, 2022
TA office hour 3-4pm on Zoom (see Canvas for Zoom link)
Monday Aug 8, 2022
Instructor office hour 10-11 am on Zoom
Watch lecture 3 videos
Section 3.5 Continuous distributions
Section 4.1 Normal distribution
Take lecture video quiz 3
due on Canvas at 11:59pm
Tuesday Aug 9, 2022
Attend lecture 3 at 1pm
Homework 1 due on Gradescope at 11:59pm
Homework 1 solutions available on Canvas
Wednesday Aug 10, 2022
Attend discussion and take discussion quiz 1 in person
Watch lecture 4 videos
Section 5.1 Point estimates and sampling variability
Section 5.2 Confidence intervals for a proportion
Section 2.3 Introduction to the idea of hypothesis testing
Take lecture video quiz 4 due on Canvas at 11:59pm
Thursday Aug 11, 2022
Attend lecture at 1pm
Homework 2 released. Due August 16th at 11:59pm on Gradescope.
Friday Aug 12, 2022
TA office hour 3-4pm on Zoom (see Canvas for Zoom link)
Monday Aug 15, 2022
Instructor office hour 10-11am on Zoom
Watch lecture 5 videos
Section 5.3 Hypothesis testing for a proportion
Section 6.1 Inference for a single proportion
Section 6.2 Inference for two proportions
Take lecture video quiz 5 due on Canvas Tuesday at noon
Tuesday Aug 16, 2022
Lecture video quiz 5 due at noon
Attend lecture at 1pm
Wednesday Aug 17, 2022
Discussion quiz 2 in discussion at 4pm
Homework 2 due at 11:59pm on Gradescope
Watch lecture 6 videos
Section 6.3 Chi square test for goodness of fit
Section 6.4 Chi square test for independence
Take lecture video quiz 6 due on Canvas Thursday at noon
Thursday Aug 18, 2022
Attend lecture at 1pm
Review homework 2 solutions available on Canvas
Homework 3 released. Due August 23rd at 11:59pm on Gradescope.
Friday Aug 19, 2022
TA office hour 3-4pm on Zoom (see Canvas for Zoom link)
Monday Aug 22, 2022
Watch lecture 7 videos
Section 7.1 Inference for a mean with one sample
Section 7.2 Inference for a mean with paired data
Section 7.3 Inference for the difference of two means
Take lecture video quiz 7 due on Canvas Tuesday at noon
Tuesday Aug 23, 2022
Attend lecture
Wednesday Aug 24, 2022
Discussion quiz 3 in discussion at 4pm
Watch lecture 8 videos
Section 7.5 Comparing means with ANOVA
Take lecture video quiz 8 due on Canvas Thursday at noon
Homework 3 due at 11:59pm on Gradescope
Thursday Aug 25, 2022
Attend lecture on Zoom at 1pm
Homework 3 solutions available on Canvas
Homework 4 released. Due August 30th at 11:59pm on Gradescope.
Friday Aug 26, 2022
TA office hour 3-4pm on Zoom (see Canvas for Zoom link)
Monday Aug 29, 2022
Instructor office hour 10-11am on Zoom
Watch lecture 9 videos
Section 8.1 Line fitting, residuals, and correlation
Section 8.2 least squares regression
Take lecture video quiz 9 due on Canvas Tuesday at noon
Tuesday Aug 30, 2022
Attend lecture
Submit homework 4
Wednesday Aug 31, 2022
Discussion quiz 4 in discussion at 4pm
Watch lecture 10 videos
Section 8.3 Outliers in linear regression
Section 8.4 Inference for linear regression
Take lecture video quiz 10 due on Canvas Thursday at noon
Thursday Sep 1, 2022
Lecture cancelled
Friday Sep 2, 2022
TA office hour 3-4pm on Zoom (see Canvas for Zoom link)
Practice final exam posted on Canvas under โfilesโ.
Sunday Sep 4, 2022
Instructor office hour 10-11am on Zoom
Tuesday Sep 6, 2022
In person final exam 1-3:50pm in our lecture room, ICS 180. I
estimate it will take you about an hour to finish the exam. Just like
with the discussion quizzes, no calculators or other materials will be
necessary or allowed, food and drink are ok. Please make sure to bring
some form of ID to the final (school or government ID).