stat310.had.co.nz

Intro to probability and mathematical statistics. stat310.

Intro to probability and mathematical statistics. Spring 2012. Rice University. Hadley Wickham. hadley@rice.edu. TA: Sharon Chiang sharon.chiang@rice.edu. TA: Garrett Grolemund. grolemund@gmail.com. 1:30-2:15 Tuesday and Thursday. Brockman 101. Homework help session: 5-6pm Tuesday and Wednesday. Duncan College 113. Office hours: 5:30-7:30pm, Monday. DH 2090. Stats in real life. What topics should I review? Fill in the blank proof. Fill in the blank proof. Corrected MLE for p in binomial distribution.

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Intro to probability and mathematical statistics. stat310. | stat310.had.co.nz Reviews

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Intro to probability and mathematical statistics. Spring 2012. Rice University. Hadley Wickham. hadley@rice.edu. TA: Sharon Chiang sharon.chiang@rice.edu. TA: Garrett Grolemund. grolemund@gmail.com. 1:30-2:15 Tuesday and Thursday. Brockman 101. Homework help session: 5-6pm Tuesday and Wednesday. Duncan College 113. Office hours: 5:30-7:30pm, Monday. DH 2090. Stats in real life. What topics should I review? Fill in the blank proof. Fill in the blank proof. Corrected MLE for p in binomial distribution.

<META> KEYWORDS

1 class notes

2 week of finals

3 stats in practice

4 final info

5 final

6 more tests

7 hypothesis testing

8 tests

9 inference for variance

10 my notes

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class notes,week of finals,stats in practice,final info,final,more tests,hypothesis testing,tests,inference for variance,my notes,confidence intervals,homework 10,homework 10 answers,inference,estimation,homework 09,homework model answers,solutions,week 9

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Intro to probability and mathematical statistics. stat310. | stat310.had.co.nz Reviews

https://stat310.had.co.nz

Intro to probability and mathematical statistics. Spring 2012. Rice University. Hadley Wickham. hadley@rice.edu. TA: Sharon Chiang sharon.chiang@rice.edu. TA: Garrett Grolemund. grolemund@gmail.com. 1:30-2:15 Tuesday and Thursday. Brockman 101. Homework help session: 5-6pm Tuesday and Wednesday. Duncan College 113. Office hours: 5:30-7:30pm, Monday. DH 2090. Stats in real life. What topics should I review? Fill in the blank proof. Fill in the blank proof. Corrected MLE for p in binomial distribution.

INTERNAL PAGES

stat310.had.co.nz

1

Homework 03. stat310.

http://stat310.had.co.nz/homework/03-homework.html

This homework follows the standard late penalty: 0% if in the stat310 mailbox by Thursday 2 Feb. 4pm, 10% by 5pm the following day, 100% otherwise. Please read the syllabus. For other homework policies. 2 pts each) For each of the following random variables, identify the distribution (including the parameters) that most closely matches the situation. Justify your choice. What assumptions do you have to make? I flip a coin. Let ( X 4 ) be one if I flip a head, zero otherwise. F {2}(x)=c 2 x {2}, x = 1, 2,...

2

Homework 07. stat310.

http://stat310.had.co.nz/homework/07-homework.html

This homework follows the standard late penalty: 0% if in the stat310 mailbox by Thursday 15 Mar. 4pm, 10% by 5pm the following day, 100% otherwise. Please read the syllabus. For other homework policies. 8 pts) Let (X sim Exp(1) ) and (Y sim Exp(1) ). X and Y are independent. Find the pdf of (A = frac{X Y}{2} ) and (B = frac{X - Y}{2} ). Are A and B independent? 8 pts) (f(x,y) = theta e {-(x theta y)}, x 0, y 0, theta 0 ). A Find the pdf of A = X * Y. B Is this a named distribution?

3

Homework 02. stat310.

http://stat310.had.co.nz/homework/02-homework.html

This homework follows the standard late penalty: 0% if in the stat310 mailbox by Thursday 26 Jan. 4pm, 10% by 5pm the following day, 100% otherwise. Please read the syllabus. For other homework policies. Some people use “gaydar” to determine if someone is gay/lesbian. Use the data below (from this journal article. 3 pts) Suppose you look at someone and decide he is gay using your gaydar. What is the probability that you are right? Use Bayes’ rule to find out. 2 pts) ( P(A complement B) P(A B)=1 ). 7 pts)...

4

Syllabus. stat310.

http://stat310.had.co.nz/syllabus.html

Stat310 is a calculus based introduction to mathematical statistics. The course will cover basic probability, random variables (continuous and discrete), multivariate distributions, the central limit theorem and statistical inference, including parameter estimation and hypothesis testing. There are three main aims of this class:. To learn the language of probability (talk). To improve your statistical intuition (think). And we will cover three broad topics:. Distributions and random variables. 10 weekly ...

5

Homework 06. stat310.

http://stat310.had.co.nz/homework/06-homework.html

This homework follows the standard late penalty: 0% if in the stat310 mailbox by Thursday 8 Mar. 4pm, 10% by 5pm the following day, 100% otherwise. Please read the syllabus. For other homework policies. Bonus homework worth half a normal homework). 5 points) Let ( f(x, y) = c(x 2xy 2y) ), ( x in [0,1], y in [0,1] ). What is ( c )? What is ( F(x, y) )? 8 points). Which of the following bivariate pdfs represent the pdf of two independent pdfs? F(x, y) = c 1 e {x y} ). F(x, y) = c 2 (x y) ). F(x, y) ).

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stat310.had.co.nz

Intro to probability and mathematical statistics. stat310.

Intro to probability and mathematical statistics. Spring 2012. Rice University. Hadley Wickham. hadley@rice.edu. TA: Sharon Chiang sharon.chiang@rice.edu. TA: Garrett Grolemund. grolemund@gmail.com. 1:30-2:15 Tuesday and Thursday. Brockman 101. Homework help session: 5-6pm Tuesday and Wednesday. Duncan College 113. Office hours: 5:30-7:30pm, Monday. DH 2090. Stats in real life. What topics should I review? Fill in the blank proof. Fill in the blank proof. Corrected MLE for p in binomial distribution.

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