Name:
Student Number:
STAT 285: Fall Semester 2014
Midterm
16 October 2014
Instructor: Richard Lockhart
Instructions: This is an open book test. As such you may use formulas such as those
for means and variances of standard distributions from the book wit
STAT 285 Fall 2014
Assignment 2 Solutions
NOTE: Due by 3 PM Thursday 18 September in the STAT 285
dropbox.
1. From the text question page 133 # 94.
Solution
The sample space S has the elementary outcomes shown in the following table; beside each outcome I
STAT 285 Fall 2014
Assignment 5
NOTE: Due by 3 PM Thursday 9 October in the STAT 285
dropbox.
1. From the text question page 253 # 4.
(a) You know that E(X) = 1 and E(Y ) = 2 so
E(X Y ) = E(X) E(Y ) = 1 2 .
This proves that X Y is an unbiased estimato
Name:
Student Number:
STAT 285: Fall Semester 2014
Final Examination Solutions
5 December 2014
Instructor: Richard Lockhart
Instructions: This is an open book test. As such you may use formulas such as those for
means and variances of standard distributio
STAT 285 Fall 2014
Assignment 1 Solutions
1. An environmental agency sets a standard of 200 ppb for the concentration of cadmium in a lake. The concentration of cadmium in one
lake is measured 17 times. The measurements average 211 parts per
billion with
STAT 285 Fall 2014
Assignment 4
NOTE: Due by 3 PM Thursday 2 October in the STAT 285
dropbox.
1. From the text question page 236 # 80.
Solution
(a) Let B1 , . . . , B12 be the twelve business-class weights and T1 , . . . , T50
be the tourist class weights
STAT 285 Fall 2014
Assignment 7 Solutions
NOTE: Due by 3 PM Thursday 6 November in the STAT 285
dropbox.
We have now started the part of the course in which there will be a
signicant amount of data analysis. I recommend that you download and
install R whi
STAT 285 Fall 2014
Assignment 3
NOTE: Due by 3 PM Thursday 25 September in the STAT 285
dropbox.
1. From the text question page 171 # 70.
Solution
We solve the equation F () = p. For the exponential distribution with
rate parameter the cdf is (for x > 0)
STAT 285 Fall 2014
Assignment 9 preliminary version, more to come.
NOTE: Problems 1 to 3 are due by 3 PM Thursday 27 November
in the STAT 285 dropbox. Problems 4 and onward are not to be
handed in; I will post solutions by Monday of next week for those
pr
STAT 285 Fall 2014
Assignment 6
NOTE: Due by 3 PM Thursday 30 October in the STAT 285
dropbox.
1. From the text question page 266 # 36.
Solution
We are given the mean and median in the example. The
median is 27.96. The deviations from the median run from
STAT 285 Fall 2014
Assignment 2
NOTE: Due by 3 PM Thursday 18 September in the STAT 285
dropbox.
1. From the text question page 133 # 94.
2. From the text question page 133 # 98.
3. From the text question page 134 # 106.
4. From the text question page 135
STAT 285 Fall 2014
Assignment 8 Solutions
1. From the text page 342 # 66
Solution
We have data X1 , . . . , Xn with n = 50 sampled from a distribution with mean and SD . Our null is H0 : = 3.20
while our alternative is Ha : = 3.20; the phrasing in # 65
ma
Stat-285 Assignment 1 2007 Fall Term
1. Two identical surveys (except for sample size) are conducted on the same population. Complete the following table and justify your responses. You may assume that a Simple Random Sample (SRS) from a large population
STAT 285 Fall 2014, Surrey
Assignment 1
NOTE: Due by 3 PM Thursday in the drop boxes on third level
of the bridge.
Most of these problems are review. I want to see lots of words in your answers,
particularly question 1.
1. An environmental agency sets a s
Name:
Student Number:
STAT 285: Fall Semester 2014
Midterm
16 October 2014
Instructor: Richard Lockhart
Instructions: This is an open book test. As such you may use formulas such as those for
means and variances of standard distributions from the book wit
Stat-285 Assignment 4 2007 Fall Term
1. I noticed some people yawning in class - many of us are sleep deprived.
Have you ever wondered how sleep patterns vary among dierent animals?
Allison and Cicchetti (1979)1 examined the pattern of sleep for just over
Stat-285 Assignment 2 2007 Fall Term
1. Refer to the attached scientic papers at http:/www.stat.sfu.ca/~cschwarz/
Stat-285/Assignments/Isaak2000.pdf. Answer the following questions.
(a) A study addressing this issue could have used a sampling designs
wher
STAT 285 Fall 2014
Final Exam Prep
Friday 5 December at 12:00 (noon).
Locations: Surrey 5280.
One student writing in Burnaby.
Your ID may be checked against a list.
Structure: open book. You may bring notes, text, calculator but
not a computer.
Leng
MACM 101
Midterm Test
Some Day, 2015
This is a sample!
Last Name
First Name and Initials
Student No.
NO AIDS allowed. Answer ALL questions on the test paper. Use backs of
sheets for scratch work.
Total Marks: 100
1. State DeMorgans law
[8]
2. Show that (p
Hypothesis Testing
Hypothesis testing is also called test on significance.
Example:
Q: How do we know a given coin is a fair coin?
A: Flip the coin n times, n is a large number. We expect to see the sample percentage
is close to 50%. That is we use the sa
STATISTICS 285
5: Model Selection and Estimation for ARIMA Models
We have just seen an example that dees being t by an easy. This is really the
norm, rather than the exception. So now we will consider model selection within the class of
ARIMA models in mo
Regression Analysis
Regression Line
A regression line is a straight line that describes how a response (dependent) variable
y changes as an explanatory (independent) variable x changes. We often use a
regression line to predict the value of y for a given
Review Questions of multiple Regression for Midterm Exam II
Question 1 [Calculation and short-answer questions based on JMP: 18 marks]
An economist is interested in studying the relationship between length of
unemployment and job-seeking activity among wh
CHAPTER5 Straight-line Regression Analysis
We are given n pairs of observations that can be denoted by (X1, Y1),
(X2, Y2), (Xn, Yn).
Example:
Johns parents recorded his height at various ages between 36 and 66 months. Below is a record
of the results.
X:
Time Series Analysis and Forecasting
Def: A time series is a set of measurements, ordered overtime, on particular
quantity of interest.
Example: The variable of interest: X and Y
X = the trading day
Y= the stock price of NT per share
(NT= Northern Telecom