STAT 231 - Statistics
The Course Information Page:
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001 Cyntha Strut
STAT 231 Midterm Test 1
Tuesday January 31, 4:40-6:10 pm
Seating for Midterm Test 1 is predetermined so please check your seat assignment at
https:/odyssey.uwaterloo.ca/teaching/schedule on Monday January 30.
Bring your Watcard and a ruler. Only Pink Ti
STAT 231 Final Examination Information
You may bring one (1) double-sided, letter sized (8.5 x 11 inches), handwritten page of notes to the
exam (no photocopies).
Bring your Watcard and a ruler. Only Pink Tie or Blue Goggles Calculators may be used.
STAT 331/SYDE 334, Winter 2017
STAT 331/SYDE 334: Applied Linear Models
Monday & Wednesday, 1:00-2:20pm, MC 2065
Office Hours: Tuesday 3:30-4:30pm or by appointment,
M3 4201, 519-888-4567 x36683
Stat 331/SYDE 334
Partial Solutions to Exercise 2
The solution for most of questions can be found in lecture notes.
4 (b) The additional sum of squares is 22.477, F = 0.7258 (p-value = 0.5575), so we cannot reject the
null hypothesis of 1 = 3 = 5 = 0.
Stat 331/SYDE 334
1. (a) 1 =
Partial Solutions to Exercise 1
(f) p-value= 0.958.
(g) 12.795 billion years with a 95% confidence interval of (11.557, 14.329) billion years.
4 (b) The fitted equation is ySBP = 33.306 + 2.16
Probability Rules and Conditional
Probability: Chapter 4
Recall: A probability model consists of a set of
events, Sample Space. S=cfw_a1, a2, , an
Defining the event A=cfw_a1, a2, , ar for rn
= 1 + 2 + +
These probabilities satisfy the following
STUDENT SATISFACTION IN
Information for students in STAT 332
9 June 2017
Andrea C h app el l, IS T
Di re ct or, In st ru ct i onal Tec h. & M edi a Servi ces
M ary Po wer, C T E
Se ni or Ins truc ti on al Devel o
ST UDENT SAT ISFACTION IN
I nfor mation for students in STAT 332
9 J une 2017
Andre a Chappe l l , I ST
D i re ct or, I nst ruct i onal Te ch. & M e di a Se rvi ce s
M ary Powe r, CT E
Se ni or I nst ruct i onal
Tutorial 1 - Sketch of solutions
1. The following are the burning times (in minutes) of chemical flares of two different formulations. The design engineers are interested in both the mean and variance of the burning
times. The data is
Tutorial Assignment #1
Quest Login ID:
Aids: No aids allowed.
1. There are a total of 10 True or False questions in this assignment.
2. Please indicate in the box following each statement if e
1. Please indicate your gender
2. Please indicate your year of study
3. Are you a Statistics major?
4. Are you enrolled in the co-op program?
5. How of
Logistic Regression Analysis of Prenatal Care Data
What follows is the data file prenatal.dat.
The first line contains the variable labels and the remaining four lines the
We are using indicator variables for the explanatory variables.
Log Linear Regression Models
for Ship Damage Incidents
49 / 65
Log Linear Regression Models for Ship Damage Incidents
McCullagh and Nelder (1989) discuss the analysis of a data set which records
the number of times a certain type of damage incident occurs
A Dose-response Problem
38 / 48
A Dose-Response Problem
Consider an experiment by Bliss (Annals of Applied Biology, 1935) in which
groups of beetles were exposed to varying concentrations of carbon disulphide
(CS2 ) gas.
Dose (xi )
Time Non-homogeneous Poisson Process:
Rat Tumour Data
66 / 80
Time Non-homogeneous Poisson Process: Rat Tumour Data
A study of the development of mammary tumours in rats1
This study was a carcinogenicity experiment in which 48 rats were exposed
to a carci
Logistic Regression: Prognosis for Neuroblastoma
Objective: Investigate the probability of 2 years survival of children with
neuroblastoma and its association with age and stage at diagnosis.
Data reported in the table below are y /m
y = num of children i
Log Linear Models for Two-way Contingency
Tables: A Melanoma Study
81 / 90
Two-way Contingency Tables: A Melanoma Study
A cross-sectional study was conducted in which 400 patients with malignant
melanoma were classified according to two factors
Midterm 1 Review
Covers the material in Chapter 1 and the material in Section 2.1 which is a review of STAT 230 material.
* Chapter 1 Problems: 1-20.
Empirical Studies (Sections 1.1-1.2)
- units, populations and processes (page 1) variate and type
- Course Notes are uploaded
- Stat 230 (Recap) (the video) <- Make sure you remember all the concept addressed
- Friday : Upload the handwritten notes
Roadmap of todays class
1. Statistical Terminology
2. Numerical Data Summaries
Measure of Central Tend
Midterm : June 2nd Tuesday ,
Syllabus < = Wednesday lecture
1. Intro to statistical models
A. The theory of estimation:
(Maximum likelihood estimate MLE)
These are known #s from our sample
Definition. :a statistical model is a specification of the distri
Recap Z-Table and Normal properties
The Chi- Squared Distribution
The Student's t- distribution
What is our best estimate of theta?
Through Maximum Likelihood
method of Lea
- Tutorial Quiz 1
Likelihood Function , MLE, Log-likelihood, Relative likelihood
< = Section 2.3
f= distribution / Density function
Data : cfw_y1,.yn
The Draws are indepen
-> Thursday: 10-12
Measures of Association
General Algorithm for dealing with statistical problems
Measures of Association
Objective: To explore whether x and y
5 Min Recap:
Bivariate Data ( Measures of Association)
Measures of Skewness ( not symmetric)
What does it measure?
It measures whether the data in symmetric OR a longer right tail (positively Skewed)
OR a Longer Left Tail ( Negativ