Dr. Karl Gregory

Class times: 10:05 - 11:20 am Tuesdays and Thursdays in Close-Hipp 502

Office hours: 1:00 - 2:00 pm Mondays and Wednesdays and 9:00 - 10:00 am Thursdays in LeConte College 216C.

TA office hour: Patrick Jin, 11:30 am - 12:30 pm and 2:30 - 3:30 pm on Tuesdays in LeConte College 111

syllabus

Slides	Annotated	R code	eBook
Lec 1	Lec 1 annotated		Basics of sets Basics of probability
Lec 2	Lec 2 annotated		Counting rules
Lec 3	Lec 3 annotated		Conditional probability Independence Bayes' rule
Lec 4	Lec 4 annotated		Random variables Discrete random variables
Lec 5	Lec 5 annotated	Rstudio R code	Bernoulli and binomial distributions Hypergeometric distribution Sampling with versus without replacement
Lec 6	Lec 6 annotated		Continuous random variables
Lec 7	Lec 7 annotated	R code	Normal distribution
End of Exam I material
Lec 8	Lec 8 annotated	R code	Poisson and exponential distributions
Lec 9	Lec 9 annotated	R code	Random sample Mean of a random sample Histogram Variance of a random sample Normal quantile-quantile plot Boxplots Central limit theorem Sample proportion
Lec 10	Lec 10 annotated	R code	First confidence interval for a normal mean Large-sample confidence interval for a mean Confidence interval for a proportion
Lec 11	Lec 11 annotated	R code	Confidence interval for a normal variance
Lec 12	Lec 12 annotated	R code	Revised confidence interval for a normal mean
Lec 13	Lec 13 annotated	R code	Sample size determination
Lec 14	Lec 14 annotated	R code	Hypothesis testing First tests about a normal mean Revised tests about a normal mean Large-sample tests about a mean Tests for a proportion
End of Exam II material
Lec 15	Lec 15 annotated	R code	P values
Lec 16	Lec 16 annotated	R code	Comparing two means Comparing two proportions
Lec 17	Lec 17 annotated	R code	One-way analysis of variance
Lec 18	Lec 18 annotated	R code	Simple linear regression
Lec 19	Lec 19 annotated	R code	Chi-squared test of association

z-table
t-table
chi-squared-table

Upload pdf of homework in Blackboard by 11:59 pm on the due date.

Homework	Topics	Due	Solutions
hw 1	Basics of sets, basic probability	Thursday, Jan 22	hw 1
hw 2	Counting, conditional probability, Bayes' rule, independence	Thursday, Jan 29	hw 2
hw 3	Random variables, expected value, variance, hypergeometric, binomial	Tuesday, Feb 10	hw 3
hw 4	Binomial, Normal probabilities and quantiles, quantile-quantile plots	Wednesday, Feb 18	hw 4
hw 5	Sampling distribution of mean from Normal population, Poisson, exponential	Thursday, Mar 5	hw 5
hw 6	CI for mean with variance known, CI for variance, large-sample CI for mean/proportion	Tuesday, Mar 24	hw 6
hw 7	CIs for mean with variance unknown, sample size calculations	Tuesday, Mar 31	hw 7
hw 8	Hypothesis testing for the mean and proportion	Thursday, Apr 9	hw 8
hw 9	Two-sample testing for differences in means and proportions	Thursday, Apr 16	hw 9
hw 10	Two-sample testing, ANOVA	Thursday, Apr 23	hw 10
hw 11	(Bonus) Simple linear regression, contingency table analysis	Monday, Apr 27	hw 11

Exams	Solutions
Exam I	student solutions scores vs attendance
Exam II	student solutions
Final	student solutions

Fall 2021 Exams	Solutions
Exam I	Exam I sol
Exam II	Exam II sol
Final	Final

Fall 2023 Exams	Solutions
Exam I	student sol
Exam II	student sol
Final	Final

Home