Instructor: Suhasini Subba Rao (office: Blocker 432).
Statistical packages: You can use any, but I will be using JMP (a click version of SAS), which is available free to you.
I will post the lecture notes each week.
Data we will be using in class
Statistical Tables (we will be using this frequently in class)
GRADES: I am still in the process of compiling the grades. Please DO NOT visit my office until I say the grades are out.
Midterm is on Tuesday 27th October.
Week 1:
See also Ott and Longnecker Section 3.3 and 4.6.
See also Sections 3.5, 4.1, 4.2 in in Ott and Longnecker.
See also Section 4.8 in in Ott and Longnecker.
See also Section 4.8 in in Ott and Longnecker.
An explanation of the binomial distribution is given in binomial notes.
See also Section 4.10 and 4.13 in Ott and Longnecker.
Handout on how to read the normal table with some examples: the standard normal distribution.
Handout on other normal distributions and going from a normal to a standardised normal distribution the non-standard normal distribution.
We will be solving lots of probabilities in class. To aid you, here are some solutions to the examples in class: examples on the normal distribution and examples on going from probabilities to the x-axis.
See also Section 4.10 in Ott and Longnecker.
Here is a little maths help for the length of CIs intervals.
Very useful applet explaining that the sample mean has a distribution which is close to a normal distribution Sampling distribution In class I will be using a similar applet but in Statcrunch - it tends to be more versatile.
Handout on the central limit theorem CLT.
If you want to understand that an estimator being `close' to the mean implies that the variance is small, please take a look at variance and estimators.
We have covered up HW1-4 now.
PROJECT (due 11th December, 2015, by 4pm). To be handed in the main statistics office or me in person (NOT the TA, I grade the projects!). You have a choice of:
Problems with extrapolation: Will women become faster than men? (A Nature article).
Final Exam will cover everything from Lecture 1-28. You will need to bring calculator and tables with you. Please also bring 4 sides of cheat sheet and some scrap paper for calculations.
Homework (due 1st December - no extensions given). Solution
Homeworks (optional)
JMP Help
Past Midterm Exams: