Lexi Zhang
Assignment HW02 due 10/09/2015 at 06:00pm PDT
STAT344-101 2015W1
The le lawyers.csv linked below contains the result of a
simple random sample of 35 out of 220 counties that comprise
the mythical land of Nod. Each row corresponds to a sampled c
Lexi Zhang
Assignment HW04 due 11/20/2015 at 06:00pm PST
STAT344-101 2015W1
Greater Numbsville is comprised of three villages: Lower
Numbsville (LN, 500 residents), Old Numbsville (ON, 700 residents), and Upper Numbsville (UN, 900 residents). A crazed
sta
Lexi Zhang
Assignment HW01 due 09/25/2015 at 06:00pm PDT
STAT344-101 2015W1
Your market research rm has been hired to conduct a survey. The goal is to produce estimates of both average annual
income and proportion with a post-secondary credential (PSC)
in
STAT 344- Assignment 1
Marking scheme:
0: practically nothing sensible;
1: good eort; 2: sensible;
3: correct in principle; 4. nearly or is perfect.
Very simple problems worth 2 marks rather than 4. Extra length problems
will worth 8 marks.
Due date: Sept
STAT 344- Assignment 2
Marking scheme:
0: practically nothing sensible;
1: good eort; 2: sensible;
3: correct in principle; 4. nearly or is perfect.
Very simple problems worth 2 marks rather than 4. Extra length problems
will worth 8 marks.
Due date: Oct
STAT 344 Lecture Notes- Week 3
Remark: This part of the note matches Chapter 3 and more.
3.1. Bias, variance and MSE of an estimator A statistical problem is
invariably to make inference on some aspects of a random system based on
the information collecte
Stat 344, Midterm Nov 14, 2014
Instructor: Jiahua Chen; Duration: 50mins; Aids: Calculators
1. [3] Provide one key dierence between concepts of stratum and cluster.
Ans: We do not sample strata but sample clusters.
2. [3] Consider the problem of ecient es
Week 2, Continue from Week2b slides.
Jiahua,Chen
Week2c
2.3.2 Back to sampling plan SRSWOR
Suppose a nite population has N units, and a sampling plan
makes every subset of size n equally likely to become a sample.
In this case, the sampling plan is Simple
Lexi Zhang
Assignment HW02 due 10/09/2015 at 06:00pm PDT
STAT344-101 2015W1
The le lawyers.csv linked below contains the result of a
simple random sample of 35 out of 220 counties that comprise
the mythical land of Nod. Each row corresponds to a sampled c
STATISTICS 344, Lecture #2
Some Review, and a Demo
September 9, 2016
STAT 200: Inference for/by a Mean
ANIYB:
propor*on
With respect to a numerical variable Y , typical notation would be:
Size
Mean
SD
Population
N
(ANIYB)
p p
p(1
p)
Sample
n
y
s
ANIYB = A
Lexi Zhang
Assignment HW03 due 10/27/2015 at 06:00pm PDT
STAT344-101 2015W1
Solution: (a) Under simple random sampling, the sample
mean of the scores, yS = 71.18, estimates the population mean.
If presented with a dataset, it can be dangerous to try to an
STATISTICS 344, Lecture #14
Pauls Election Special!
October 14, 2015
The Federal Election is ve days away.
In this course, we are learning some of the statistical /
mathematical / probabilistic concepts that underpin the extraction
of knowledge from surve
Statistics 344 - Final Exam
Wednesday April 13, 2011
Instructions: Two sheets (both sides) of notes and a simple calculator are allowed. The
exam time is 150 minutes. There are eight problems, with a total of 80 points available.
This booklet has 11 pages
STATISTICS 344, Lecture #1
Some First Thoughts on Sample Surveys
September 9, 2015
Basic elements
Characteristic(s) of interest - what we measure.
Observation unit - who/what we measure it on.
characteristic
income
height
# of people
observation unit
pers
STATISTICS 344, Lecture #3
The Combinatorial Approach to Random
Sampling
September 14, 2015
Is Independence exactly right?
A fairly standard intro stat textbook denition of random sampling
says that:
Everyone has the same chance of being included.
Whether
STATISTICS 344, Lecture #5
Study Planning
September 18, 2015
Clicker Q: Put yourself in the mindset of a research
funding agency.
. Many potential scientic studies are pitched to you, but there
are only resources to fund some of them. Amongst proposed
stu
STAT 344 Lecture Notes- Week 2
Remark: This part of the note matches Chapter 2 and more.
2.1. Finite population
Generally speaking, a target population in survey context are nite populations. If you keep taking sampling units from it without replacement,
STAT 344 Lecture Notes- Week 4
Remark: This part of the note matches Chapter 4 and more.
4.1. Population proportion There is no doubt that proportion of units
with a specic characteristic in the population is an important measure. Proportion of female pro
Week 2, Continue from Week2a slides.
Jiahua,Chen
Stratied,Simple,Random,Sample
2.3.1 Some notions the textbook omitted
The general task of a statistician is to make inference about the
stochastic system based on a data set generated from this system.
Othe
STATISTICS 344, Lecture #28
Venue Sampling
November 16, 2016
Where are we at?
Last time - a (second-hand, from NYT) story about sampling
weights.
Today - a (first-hand) story about sampling weights.
Preamble
Weve seen situations where unequal selection pr
STATISTICS 344, Lecture #12
Stratification I
Text
October 3, 2016
Today we look at the reverse situation from last time
samplepropor/on
Estimation in a domain: Take a single sample from the whole
population. Use the portion of the sample that happens to f
STATISTICS 344, Lecture #4
Tweaking the STAT 200 Theory
September 14, 2016
Scorecard (i): Population mean, total, variance:
yP
=
tP
=
sP2
=
N
1 X
yi
N
i=1
N
X
yi
i=1
1
N
1
N
X
i=1
(yi
yP )2 .
Scorecard (ii): Sample mean, total, variance:
1X
yi
n
yS
=
tS
=
Stat 344, Midterm Nov 5, 2012
Instructor: Jiahua Chen; Duration: 50mins; Aids: Calculators
Some useful facts in obvious notation
Var(n ) = (1
y
n S2
) ;
N n
n
s2 = (n 1)1
n
n
(yi yn )2 = (n 1)1 [
i=1
2
y2
yi nn ].
i=1
2
Population variance for qualitativ
Name:
ID:
THE UNIVERSITY OF BRITISH COLUMBIA
Final Exam, December 15, 2012
STAT 344: Sampling Methodologies
2
SRSWOR: Var() = (1/n 1/N )Sy ; Cov(, y ) = (1/n 1/N )Sxy ;
y
x
x
R = y /; YR = (/)X; YRegr = y + (X x); = sxy /s2 .
y x
x
Var(Y ) (1/n 1/N )
STATISTICS 344, Lecture #12
Stratification I
October 3, 2016
Today we look at the reverse situation from last time
Estimation in a domain: Take a single sample from the whole
population. Use the portion of the sample that happens to fall in
the sub-popula
STATISTICS 344, Lecture #13
Stratification II
October 5, 2016
Recall example from last time - percentage of voters
supporting the federal Liberal party
Implement regional versions of the same study.
Region
Atlantic
Quebec
Ontario
West
Share of
population
STATISTICS 344, Lecture #11
Estimation in Domains
September 30, 2016
Preamble
You are given the following data: Amongst 116 male voters
questioned, 34 indicated support for the NDP, while the other 82
indicated support for other parties. Thus you issue a
Statistics 344 - Final Exam
Friday, December 18, 2015
Instructions:
Two sheets (both sides, i.e., 4 pages) of notes and a simple calculator are allowed.
The exam time is 150 minutes.
There are six equally-weighted problems, with a total of 150 points a
Statistics 344 - Final Exam
Wednesday April 13, 2011
Instructions: Two sheets (both sides) of notes and a simple calculator are allowed. The
exam time is 150 minutes. There are eight problems, with a total of 80 points available.
This booklet has 11 pages