Statistical Inference
Making decisions regarding the
population base on a sample
Decision Types
Estimation
Deciding on the value of an unknown parameter
Hypothesis Testing
Deciding a statement regarding an unknown parameter
is true of false
Predictio
Measures of Variability
Variability
0.14
0.12
0.1
0.08
0.06
0.04
0.02
0
0
5
10
15
20
25
Measure of Variability
(Dispersion, Spread)
Variance, standard deviation
Range
Inter-Quartile Range
Pseudo-standard deviation
Range
Range
Definition
Let min = the smal
Using SPSS
Note: The use of another statistical package
such as Minitab is similar to using SPSS
After starting the SSPS program the following dialogue
box appears:
If you select Opening an existing file and press OK the
following dialogue box appears
The
CMPT 280
Intermediate Data Structures and Algorithms
Introduction
Mark G. Eramian
University of Saskatchewan
Mark G. Eramian
CMPT 280
1/17
Course Website
CMPT 280 course on Moodle:
http:/moodle.cs.usask.ca
Features:
Download lecture notes, assignments,
CMPT 280
Topic 1: Review of Lists
Mark G. Eramian
University of Saskatchewan
Mark G. Eramian
CMPT 280
1/12
References
Textbook, Chapter 1
Mark G. Eramian
CMPT 280
2/12
Array-based List Implementations
Implementation 1: Ordered first-to-last at beginning
STAT 160 Handout-8
Probability and Probability Distributions
Discrete Random Variables and their probability Distributions
A quantitative variable x is a random variable if the value that it assumes, corresponding
to the outcome of an experiment, is a ch
Mission:
Conduct research on peer-to peer market trends, and present findings to product
managers in developing SGI CANADAs personal property and auto products.
Product Mode Description: P2P Insurance will be a decentralized communications
model which eit
When We Speak of
Decision Support Systems (DSS):
1
Focus:
Sources:
collection and analysis of core transaction/business
process data
key transaction systems (a.k.a. corporate systems of
record)
external data sources obtained for the purposes of
comparison
For the MISM 2301 Classes of Professor _
MISM 2301, Sections X, Location: XXX Dodge Hall
General Topic
Date
Session
Specific Topic/Learning objectives
Course Introduction and Overview; An Introduction to the Management
Information Systems (MIS) Integrated
Organizational Behavior
ORGB 3201.07
Spring 2016
Richard Huttner
Class 2
Please sit in your assigned
teams
Organizational Behavior
The stellar universe is not so difficult of
comprehension as the real actions of
other people. Marcel Proust
This quote and
M-T FINA 2201-99 FALL -2100
Name:_
Test Sampler
24 Pts.
Read each question through once or twice, then compose your
thoughts and take your time writing your answers and
calculations .
Q 1 A Current Ratio of 2:1 indicates what to you about the
financial he
For the MISM 2301 Classes of Professor _
MISM 2301, Sections X, Location: XXX Dodge Hall
General Topic
Date
Session
Specific Topic/Learning objectives
Course Introduction and Overview; An Introduction to the Management
Information Systems (MIS) Integrated
Stat 100 Sample Final #3
1. The following table lists the recent share price (in US $) of twelve financial institutions.
Bank of New York Mellon
$26.87
Bank of America
$12.54
Banco Itau
$ 8.86
Toronto Dominion
$40.54
JP Morgan Chase
$25.27
Royal Bank
$32.
Stat 100 Sample Final Questions
(Lots!. this is probably more like two finals worth)
1. Suppose the ages of 19 children at a day care children are as follows (in months):
36, 42, 18, 32, 22, 22, 25, 29, 31, 19, 30, 24, 35, 29, 26, 36, 24, 28, 28
a) Classi
Stat 100 Sample Final #1
1. Consider the following distribution of heights (in cm) in a sample of tomato plants:
Height
15#x<20
20#x<25
25#x<30
30#x<35
35#x<40
40#x<45
45#x<50
35
44
27
17
8
2
Frequency 16
(a) Classify the data (e.g. qualitative) and the s
Stat 100 Sample Final #2
1. The following frequency histogram lists the tuition fees of a sample of 30 US colleges (both
private and public).
a) Classify the data tuition fee.
(e.g. quantitative/discrete)
b) Use midpoints of each class to
estimate the mea
Statistics 351 Quiz #2 September 18, 2009
This quiz consists of 6 multiple choice questions. Circle the correct answer; you do not need
to justify your answers.
1
This exam is closed-book, except that one 8 2 11 double-sided page of handwritten notes is
p
Statistics 351 Quiz #1 September 16, 2009
This quiz consists of 6 multiple choice questions. Circle the correct answer; you do not need
to justify your answers.
1
This exam is closed-book, except that one 8 2 11 double-sided page of handwritten notes is
p
Statistics 351 Fall 2009 Quiz #1 Solutions
1.
Let C be the event that an automobile owner purchases collision coverage and let D be the
event that an automobile owner purchases disability coverage. We know that P (C ) = 2P (D) by
(i), we know that P (C D)
Statistics 351 Fall 2009 Quiz #2 Solutions
1.
Let X denote the colour of the ball drawn from the rst urn, and let Y denote the colour of
the ball drawn from the second urn. Let b denote the unknown number of blue balls in the second
urn. We nd
0.44 = P (X
Statistics 452 Fall 2011 Final Exam Solutions
1. We will begin by showing that W (X1 , . . . , Xn ) is an unbiased estimator of 2 . This follows
since
E (W (X1 , . . . , Xn ) =
1
1
E (T (T 1) =
E (T 2 ) E (T )
n(n 1)
n(n 1)
1
=
Var (T ) + [E (T )]2 E (T )
Statistics 452 Midterm Exam October 12, 2011
This exam is worth 50 points.
This exam has 3 problems and 1 numbered page.
You have 50 minutes to complete this exam. Please read all instructions carefully, and check
your answers. Show all work neatly and in
Statistics 452 Fall 2011 Midterm Exam Solutions
1. Since MX (t) = E(etX ) exists for t (h, h) for some h > 0 we know that
MX (0) = E(X ) and MX (0) = E(X 2 ).
Moreover, it is always the case that MX (0) = 1. From the chain rule, it follows that
M (t)
d
lo
Statistics 452 Final Exam December 9, 2011
This exam has 110 possible points but will be scored out of 100 points.
This exam has 6 problems and 3 numbered page.
You have 3 hours to complete this exam. Please read all instructions carefully, and check
your
Stat 452 Fall 2011
Assignment #5
This assignment is due at the beginning of class on Monday, December 5, 2011.
1.
Let X1 , . . . , Xn be iid random variables with probability mass function
P (X1 = x) =
e x
,
x!
x cfw_0, 1, . . ., > 0.
Consider the followi
Stat 452 Fall 2011
Assignment #1
This assignment is due at the beginning of class on Monday, September 26, 2011.
1.
Exercise 2.3 page 76
2.
Exericse 2.30 (a), (b), (c) page 80
3.
Exercise 2.35 (a) page 81
4.
Exercise 2.36 page 81
5.
Exercise 4.4 page 192