Statistics 211 Sessions 504
Principles of Statistics I
Instructor: Professor Jianhua Huang
The help session hours on the syllabus were wrong. Please see below for corrections.
Class meeting:
Tuesday Thursday 2:20PM - 3:35PM, 150 Blocker Building
Office hour:
Thursday 9-10, 3:35 - 4:35PM, 405C Blocker
Help Session:
Thursday 5:15-8:00pm, Friday 3-5pm, Sunday 3:00-5:00pm, 457 Blocker Building
Course Management:
DOSTAT: Log in to get
access to lecture notes, homework assignments, grades, etc.
Registration code will be provided in class
Text book:
Miller and Freunds: Probability and Statistics for Engineering and the
Sciences, 7th edition.
link to e-book
A mapping of concepts from the 10 topics covered in the course to the
appropriatte portions of the book is
given here.
Purchase
e-book, follow this link
How do I do well in this course?
- Come to class meetings
- Read the text book
- Spend enough time on the homework and get help if needed
- Make use of the professor's office hours
- Make use of the help sessions where the statistics major PhD students help with homework assignments and other course materials
- Use the discussion board on DOSTAT
- Ask questions in class
- Make sure you have had a calculus course before taking this course (so you know integration and differentiation of functions etc)
Suggested readings
Review problems
- Midterm I:
- Chapter 3 (excluding Section 3.8): (3.7), (3.13), (3.21), 3.25,
(3.27), 3.33, (3.41),3.35,(3.47), 3.101, 3.103, 3.105, 3.107, (3.111),
3.115
Topics: set theory, counting, axioms of probability, basic laws of
probability, conditional probability, independence, law of total probabilities, Bayes rules
- Chapter 4 (excluding Sections 4.3, 4.5, 4.6,
4.9, 4.10): (4.41), 4.59, (4.65), (4.67), 4.81, 4.84, 4.86, 4.85,
4.87, 4.90(b), (4.91(b)), 4.97
Topics: discrete random variables, pmf, cdf, mean, variance, mgf,
Binomial distribution (pmf, mean, variance), Poisson distribution
(pmf, mean, variance), geometric distribution
- Section 15.1: 15.1, 15.3
Topics: reliability calculation for serial system, parrallel system,
mixed system
- Midterm II:
- Chapter 5: 5.111, 5.117, 5.113, 5.122, 5.124, 5.125, 5.89. 5.91.
Topics: calculation with pdf, cdf, mean, variance of continuous random
variables; uniform distribution, gamma distribution, exponential
distribution;
normal distribution, empirical rule, standard normal, calculation
using normal table, QQ plot;
joint distribution, joint to marginal, independence,
- chapter 6: 6.15, 6.37, 6.39, 6.43
Topics: sampling distribution, CLT
- Chapter 7 (Section 7.2-7.5): 7.5, 7.11, 7.21, 7.81, 7.83
Topics: confidence interval interpretation, confidence interval for mean
(z-interval, t-interval), sample size calculation, prediction
interval;
hypothesis testing, type-I error, type-II error, power
- Chapter 8 (Section 8.1, 8.2): to be covered in the final, not in
this exam
Topics: confidence interval and hypothesis testing about population
variance, assumption used
- Chapter 9 (Section 9.1, 9.2): 9.1(b), 9.3(b), 9.9, 9.10, 9.11, 9.12,
9.17
Topics: Confidence interval of proportion, hypothesis testing for
proportion, sample size calculation