I.
Estimating the Mean Diameter of Towel
Rolls
Open the file lab4.xls and the worksheet Confidence Interval. The following labels are in the range A1A3
on your worksheet: Sample size, Conf_Level, and St.Deviation. In the range B1B3 you will enter the
cu
Statistics 235
Gregory M. Wagner
Laboratory 4
ER3
1a)
ALLOY1
Mean
Standard Error
Median
Mode
ALLOY2
65.09
0.36098
64.6
63.8
ALLOY2+TREATMENT
Mean
65.27333
Mean
Standard Error
Median
Mode
0.167602
65
64.9
Standard Error
Median
Mode
Standard Deviation
1.977
1.
(a)
(b)
2.
(a)
(b)
First you will examine the relationship between the response variable (thrust) and each of of the
three predictor variables with scatterplots.
Obtain a scatterplot of thrust versus each of the three predictors. The format of each of
Name: _
Student No.: _
University of Alberta
Department of Mathematical and Statistical Sciences
Statistics 235 Final Examination Version A
Date: April 20, 2009
Instructor (circle):
P. Cartledge,
H. Kolacz
T. Varghese,
Time: 9:0012:00
Instructions: (READ
LAB 4 ASSIGNMENT
CONFIDENCE INTERVALS AND HYPOTHESIS TESTING
This lab assignment will give you the opportunity to explore the concept of a confidence interval and
hypothesis testing in the context of a realworld problem. In particular, you will study the
LAB 1 ASSIGNMENT
DISPLAYING AND DESCRIBING DISTRIBUTIONS
In this lab assignment you will use statistical features in Excel to evaluate the accuracy of a scale weighing
trucks in motion. You will learn how to display the related data using histograms and s
SOLUTIONS TO LAB 4 ASSIGNMENT
Question 1
(a)
Let X be the amount of drink in a randomly selected bottle. Then given the mean of 302 ml,
standard deviation of 2 ml, and the normality of X, we have
P ( X < 300) = P ( Z =
X
<
300 302
) = P ( Z < 1) = 0.1586
ASSIGNMENT 5
SIMPLE LINEAR REGRESSION
In this assignment you will use linear regression features available in Excel to examine the relationship between
the thrust of a jetturbine engine and three predictor variables such as fuel flow rate, exhaust temper
LAB 2 ASSIGNMENT
PROBABILITY DISTRIBUTIONS
In this lab assignment you will use numerical and graphical tools available in Excel to analyze a filling process
described by a normal distribution. You will use the process to explore the basic properties of di
LAB 3 ASSIGNMENT
SAMPLING DISTRIBUTIONS. CENTRAL LIMIT THEOREM
In this lab assignment you will explore important properties of sampling distributions in the context of a
quality control process and computer simulation. In particular, you will use the Rand
UNIVERSITY OF ALBERTA
STATISTICS 235: LAB 2
ASSIGNMENT
[Type the document subtitle]
Dylan MCATEE
LAB 2 ASSIGNMENT
1.
(a)
Assume that the mean weight is set at 300 ml. Enter the value of as 4, then 6,
and eventually 8 ml. After each entry, carefully examin
SOLUTIONS TO LAB 5 ASSIGNMENT
Question 1
In order to obtain the plot of the average number of units produced per minute (Quantity) over the 25month period, we use the Chart Wizard. The Chart Wizard offers several types of line charts, the option
most appr
SOLUTIONS TO THE LAB 2 ASSIGNMENT
If the students wish to work on the lab assignment on their home computer, they can save the Excel file
used in the lab assignment on a floppy disk in the format that is suitable for the Excel version their
computer is eq
STAT235 LAB#1
LAB Section:EA6
Pengyu Chen
ID: 1432818
Sept. 17 2015
1. The study is an example of an observational study. Because there is neither
comparison nor control in the whole study. Plus, there is no statement in the
introduction that it is an exp
Stat 235 Assignment #4 Solutions Fall 2015
SOLUTIONS TO HOMEWORK ASSIGNMENT 4
12.1.2 (15 marks total: (a) 1 (b) 1 (c) 2 (d) 5 (e) 6)
X  amount of a catalyst
Y  purity of a chemical solution
( purity  amount ) E ( purity  amount ) 123.0 2.08(amount ),
Statistics 235 Homework #2 Solutions Fall 2015
SOLUTIONS TO HOMEWORK ASSIGNMENT 2
4.1.2
Let X = voltage of a new battery. We are given that X ~ Uniform(1.43,1.60).
1
1
, 1.43 x 1.60
f X ( x) 1.60 1.43 0.17
0
, else
(a) X E[ X ]
1.43 1.60
1.515.
2
(b) X
Statistics 235
Gregory M. Wagner
Laboratory 5
ER3
1a)
b)
c) The Atlantic regions relationship is reasonably strong. It is scattered, and not linear. If we
were to draw a straight line on this graph, there would be many outliers. The points are not
followi
Statistics 235 Homework #1 Solutions Fall 2015
SOLUTIONS TO HOMEWORK ASSIGNMENT 1
6.2.4
The histogram for the data obtained with Excel is displayed below:
The histogram shows two observations separated from the main body of data. A glance at the data
set
Homework Assignments:
There will be four homework assignments in the course. The homework assignment questions are
taken from the textbook. Homework assignments must be submitted to the assignment box outside
of CAB 331/335 by 22:00 PM on the due date. Ma
Statistics 235 Midterm Examination Version A
Date: February 26, 2013
Instructor: H. Kolacz, M. Maciak, G. Wagner
Time: 11:0012:20
Name: _
I.D. #: _
Instructions:
1. This is a closed book exam. You are permitted to use a nonprogrammable calculator
approv
ID: _
STAT235 MIDTERM EXAM VERSION 111
Complete the following (please print):
Section Number: _
Last name, First name: _
Instructions
1. Enter your lecture section number, your last name (the same one that is illustrated on your One Card),
and first name
Statistics 235 Midterm Examination Version A
Date: February 26, 2013
Instructor: H. Kolacz, M. Maciak, G. Wagner
Time: 11:0012:20
Name: _
I.D. #: _
Instructions:
1. This is a closed book exam. You are permitted to use a nonprogrammable calculator
approv
STAT235 MIDTERM EXAM VERSION 111
Complete the following (please print):
Section Number: _ Surname, First name: _
I.D. Number:
_
Instructions
1. Enter your lecture section number, your last name (the same one that is illustrated on your One Card),
first na
STAT235 MIDTERM EXAM VERSION 111
Complete the following (please print):
Section Number: _ Surname, First name: _
I.D. Number:
_
Instructions
1. Enter your lecture section number, your last name (the same one that is illustrated on your One Card),
first na
SOLUTIONS TO THE LAB 4 ASSIGNMENT
I.
Estimating the Mean Strength with Confidence Intervals
Question 1
The confidence intervals vary from sample to sample, but the unique 90% margin of error is 0.120123. The
theoretical fraction of confidence intervals co
SOLUTIONS TO THE LAB 1 ASSIGNMENT
Question 1
Excel produces the following histogram of pull strengths for the 100 resistors:
Histogram of Pull Strengths (lb)
25
Frequency
20
15
10
5
0
59
61
63
65
67
69
71
73
75
(a)
The histogram is onepeaked, bellshaped
SOLUTIONS TO THE LAB 3 ASSIGNMENT
Question 1
As the parameter changes, the probability distribution function changes as well. The probability
distribution function is skewed to the right. The smaller the value of , the more extreme the right
skewness.
How
Name: _
Student No.: _
University of Alberta
Department of Mathematical and Statistical Sciences
Statistics 235 Final Examination Version A
Date: Winter 2009
Time: 9:0012:00
Instructions: (READ ALL INSTRUCTIONS CAREFULLY.)
1. This is a closed book exam.
University of Alberta
Department of Mathematical and Statistical Sciences
Statistics 235 Final Examination Version A
Date: Winter 2010
Time: 9:0012:00
Instructions: (READ ALL INSTRUCTIONS CAREFULLY.)
1. This is a closed book exam. You are permitted to us
Chapter 6:
Statistics: Descriptive vs. inferential
Types of variables
Quantitative vs. Qualitative
/

Discrete Continuous
Population vs. sample Parameter vs. statistic
Tables, charts & graphs
 frequency distributions
 bar chart/Pareto chart
 pie chart
Statistics 235 Homework #3 Solutions Fall 2016
SOLUTIONS TO HOMEWORK ASSIGNMENT 3
8.1.2
Assumptions:
a) Simple random sample? Yes
b) n > 30 OR population is normal? Yes (n = 41)
Since is unknown, we use a tdistribution.
The twosided 99% confidence inter
STAT235 MIDTERM EXAM VERSION 222
Complete the following (please print):
Section Number: _
Last name, First name: _
(EA1 for P. Cartledge, EB1 for A. Simchi)
Instructions
1. Enter your lecture section number, your last name (the same one that is illustrate
STAT235 MIDTERM EXAM VERSION 111
Complete the following (please print):
Section Number: _
Last name, First name: _
(EA1 for P. Cartledge, EB1 for A. Simchi)
Instructions
1. Enter your lecture section number, your last name (the same one that is illustrate
CHAPTER 4: DISCRETE DISTRIBUTIONS
4.1 The Bernoulli Distribution
Consider a random experiment that can result in one of two
possible outcomes, one outcome is labelled success, the
other outcome is labelled failure. The probability of
success is constant a