STA 2201S 2014 Assignment 1.
due Friday, February 7 at the beginning of class
When answering questions requiring numerical work, the results are to be reported in a
narrative summary, in your own words. Tables and Figures may be included, but must be
form
Statistical Inference II: Hypothesis Testing
1. Introduction to hypothesis testing
1.1 The statistical hypothesis
1.2 Statistical tests and rare event rule
1.3 Decisions and Type I & Type II errors
1.4 Methods of hypothesis testing
1.5 Steps for hypothesi
Probability III. Continuous Random Variables
and Normal Probability Models
1. Continuous random variables and probability density
2. Uniform probability distributions
3. Normal distributions and standardization
3.1 Normal distributions
3.2 Finding probabi
Correlation and Regression
1. Introduction
2. Explore data using scatterplots
3. Correlation
3.1 Population correlation coefficient
3.2 Pearson linear correlation coefficient
3.3 Lessons for using linear correlation coefficient
4. Simple linear regression
Categorical Data Analysis
1.
2.
3.
4.
5.
Introduction
distributions
goodness of fit test
test for independence
test for homogeneity
STA220H1F (ZI LIU) SUMMER 2016 (U OF TORONTO)
1
Categorical Data Analysis
1. Introduction
By now, we have studied stati
Statistical Inference I: Estimation
1. Introduction to statistical estimation
2. Estimating population proportion
2.1 Point estimate and the z interval (CI)
2.2 Determining the sample size n
2.3 The CLT for Sample Proportion (optional)
3. Estimating popul
Assignment #3
STA220H1 Sections L9901 & L9902 (Fall 2016)
Part I: Individual component Due 12 NOON on Wed, Nov 16.
Part I is set up as a test (with *one* attempt like Assignment 2 and the midterm) on Portal. A link to the test is posted in the
Assignment
STA 2201S 2014 Assignment 4.
due Friday, April 11 at 2 pm.
Note: Do Q3 or Q4, not both
1. Measurement error in regression: Suppose we have a simple linear regression model
yj = 0 + 1 xj + j ,
j = 1, . . . , n
2
2
but the xj are independently N (x , x ). W
STA 2201S 2014 Assignment 3.
due Friday, March 21 at the beginning of class
When answering questions requiring numerical work, the results are to be reported in a
narrative summary, in your own words. Tables and Figures may be included, but must be
format
STA 2201S 2014 Assignment 2.
due Friday, February 28 at the beginning of class
When answering questions requiring numerical work, the results are to be reported in a
narrative summary, in your own words. Tables and Figures may be included, but must be
for
STA 2201S 2014 Assignment 2.
due Friday, February 28 at the beginning of class
When answering questions requiring numerical work, the results are to be reported in a
narrative summary, in your own words. Tables and Figures may be included, but must be
for
STA 2201S Final Test
?
STA2201H1S
END OF TERM TEST
April 11, 2014, 2.00 5.00 pm
Answer all four questions in examination booklets.
Each question is worth 25 marks.
+
+ + + + +
55
60
65
70
75
1.0
0.8
0.6
0.4
+
0.2
+
+
+
+
0.0
+
proportion of damaged O-ring
Inference from Two Samples
1. Introduction
2. Some rules for expectation and variance
3. Two independent sample inference
3.1 Sampling distribution of
3.2 Two independent sample z CIs for
3.3 Two independent sample z tests for
3.4 Examples
4. Two ind