1.
The 94 students in a statistics class are categorized by gender and by
the year in school. The numbers obtained are displayed below:
Gender
Male
Female
Total
A)
B)
2.
2
6
Year in
school
Freshman Sophomore
1
2
23
17
24
19
Junior
9
13
22
Senior
17
7
24
G
Use the following to answer questions 14:
A study was performed to examine the personal goals of children in grades 4, 5, and 6. A random
sample of students was selected from each of the grades 4, 5, and 6 from schools in Georgia. The
students received a
Chapter 7
Inference for
Distributions
Introduction to the Practice of
STATISTICS
SEVENTH
EDITION
Moore / McCabe / Craig
Lecture Presentation Slides
Chapter 7
Inference for Distributions
7.1 Inference for the Mean of a Population
7.2 Comparing Two Means
2
Chapter 8
Inference for
Proportions
Introduction to the Practice of
STATISTICS
SEVENTH
EDITION
Moore / McCabe / Craig
Lecture Presentation Slides
2
8.2 Comparing Two
Proportions
Large-Sample Confidence Interval for a Difference in
Proportions
Plus-Four
Chapter 8
Inference for
Proportions
Introduction to the Practice of
STATISTICS
SEVENTH
EDITION
Moore / McCabe / Craig
Lecture Presentation Slides
8.2 Comparing Two
Proportions
Large-Sample Confidence Interval for a Difference in
Proportions
Plus-Four Co
Chapter 9
Analysis of
Two-Way Tables
Introduction to the Practice of
STATISTICS
SEVENTH
EDITION
Moore / McCabe / Craig
Lecture Presentation Slides
Chapter 9
Analysis of Two-Way
Tables
9.1 Inference for Two-Way Tables
9.2 Formulas and Models for Two-Way Ta
Chapter 6
Introduction to
Inference
Introduction to the Practice of
STATISTICS
SEVENTH
EDITION
Moore / McCabe / Craig
Lecture Presentation Slides
Chapter 6
Introduction to Inference
6.1 Estimating with Confidence
6.2 Tests of Significance
6.4 Power and In
Use the following to answer questions 1 and 2:
The nicotine content in cigarettes of a certain brand is Normally distributed with standard
deviation = 0.1 milligrams. The brand advertises that the mean nicotine content of their
cigarettes is =1.5, but you
R Tutorial
Starting and Quitting R
R is available on the linux machine in most of the university computer llabs. First login to this
machine and to start R, type the following at the UNIX prompt.
bacon[101]% R
To quit from R, type q()
Help Commands
You ca
Use the following to answer questions 1-5:
A realtor wishes to assess whether a difference exists between home prices in three
subdivisions. Independent samples of homes from each of the three subdivisions are
obtained and their prices are recorded. The a
STAT 2560 Further Statistics for Science Students
Course Work 3 Due, March 4th, 2014
From Your text book:
1. 7.83 Page 457
2. 8.17 Page 487
3. 8.27 Page 488
4. 8.43 Page 490
5. 8.63 Page 504
6. 8.85 Page 506
Note: Attach both your computer program and out
STAT 2560 Further Statistics for Science Students
Course Work 4 Due, March 20th, 2014
From Your text book:
1. 8.94 Page 508
2. 9.12 Page 535
3. 9.18 Page 536
4. 9.27 Page 539
5. 9.38 Page 540
6. 9.42 Page 541
Note: Attach both your computer program and ou
STAT 2560 Further Statistics for Science Students
Course Work 2 Due, Feb. 13th, 2014
From Your text book:
1. 6.70 Page 380
2. 6.112 Page 398
3. 6.124 Page 400
4. 7.32 Page 428
5. 7.41 Page 431
6. 7.66 Page 453
Note: Attach both your computer program and o
STAT 2560 Further Statistics for Science Students
Course Work 5 Due, April 3rd, 2014
From Your text book:
1. 12.13 Page 657
2. 12.22 Page 658
3. 12.29 Page 659
4. 12.31 Page 660
5. 12.33 and 12.34 Page 661
Note: Attach both your computer program and outpu
Chapter 7
Inference for
Distributions
Introduction to the Practice of
STATISTICS
SEVENTH
EDITION
Moore / McCabe / Craig
Lecture Presentation Slides
7.2 Comparing Two
Means
2
Two-Sample Problems
The Two-Sample t Procedures
Robustness of the Two-Sample t Pr
Chapter 9
Analysis of
Two-Way Tables
Introduction to the Practice of
STATISTICS
SEVENTH
EDITION
Moore / McCabe / Craig
Lecture Presentation Slides
2
Testing for Independence
Suppose we have a single sample from a
single population. For each individual in
Stat 2560
Multiple Linear Regression
March 23, 2010
Multiple Linear Regression
Suppose that yield of a chemical process depends on
temperature and the catalyst concentration.
A multiple linear regression model that might describe this
relationship is
y =
Stat 2560
Simple Linear Regression
February 16, 2012
Overview
Linear regression model: yi = 0 + 1 xi + i , i = 1, 2, . . . , n
Estimated regression line: yi = 0 + 1 xi i = 1, 2, . . . , n
1 quanties the expected change in Y for one unit change in
X.
i s
f
Stat 2560
Simple Linear Regression
9 March, 2010
Estimating 2
Fitted (predicted) values y1 , y2 , . . . , yn can be obtained by
successively substituting x1 , x2 , . . . , xn into the estimated
regression line.
ie. yi = 0 + 1 xi , i = 1, 2, . . . , n
Re
Stat 2560
Simple Linear Regression
March 2, 2010
Introduction
In many problems, two or more variables are involved and
related, and one variable can be measured quickly, easily, not
costly, or early.
We are interested to explore the relationship between t
Stat 2560
Simple Linear Regression
4 March, 2010
Estimation of Regression Parameters
Let (0 , 1 ) be the estimates of (0 , 1 )
Estimated regression line for the ith observation is
yi = 0 + 1 xi
Then the residual is, ri = yi yi
One way of estimation of t
MUN-STAT2560-Winter 2009
Review of Probability and Basic Statistics
Measures of location
The sample mean x of observations x1 , x2 , . . . , xn is given by
x=
n
i=1
x1 + x2 + . . . + xn
=
n
The numerator of x can be written more informally as
sample obse
Department of Mathematics and Statistics
Memorial University of Newfoundland
STAT 2560-001
Further Statistics for Science Students
Winter 2009
Prerequisite: ST 2550, ST 2500 (with M1000 or M1081) or ST 2510
Lectures: Slot 17 (Tuesdays and Thursdays: 9.00
Memorial University of Newfoundland
Department of Mathematics and Statistics
Stat 2560
Assignment #3
Due March 11 , 2010
(Your assingment box # is 10)
Problem 1: [Problem 10, Chapter 11]
The strength of concrete used in commercial construction tends to va
Stats 2560
Assignment # 3
Due: Friday, March 22, 2013
1. A scatter plot, along with the least squares line, of x = rainfall volume (m3) and
y = runoff volume (m3) for a particular location were given. The following values
were read from the plot:
_
X
5
12
Regression and ANOVA
We can decompose the total sum of squares (SST) into sum
of squares of error (SSE), which measures the unexplained
variation and sum of squares of regression (SSR), which
measures variation explained by the linear relationship.
In tha
Memorial University of Newfoundland
Department of Mathematics and Statistics
Stat 2560
Assignment #4
Due April 6, 2010
Assignment Box #10
Problem 1:
An investigation of a die casting process resulted in the accompanying data on x1 = furnance temperature,