STAT_515_sp

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

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 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			Comparing two means Comparing two proportions

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

Exams	Solutions
Exam I on Thursday, Feb 19th, One sheet of hand-written notes, one-sided, no calculators	student solutions scores vs attendance
Exam II on Tuesday, Apr 7th, Two sheets of hand-written notes, one-sided, no calculators
Final Exam on Tuesday, May 5th, at 9:00 am

scatterplot showing pointwise confidence and prediction intervals in simple linear regression