STAT*2060DE
Questions for Assignment #3
Please input your responses into the D2L quiz Assignment #3 by the deadline. The usual
guidelines apply. Please give your responses to at least 3 decimal places where applicable.
If you give me fewer than 3 decimal
STAT*2060DE
Questions for Assignment #2
Please submit your responses to this question on the D2L quiz labelled Assignment #2.
Please input your answer in decimal form, and not as a fraction (the program will not
recognize 1/4 as 0.25). As always, give you
STAT*2060DE
Summary Notes for Unit #6. Part B: Regression and Correlation
Regression Analysis investigates the relationship between a quantitative response variable and one or
more explanatory variables. We may wish to use explanatory variables to help us
STAT*2060DE F
Questions for Assignment #6
This will be another D2L quiz. Please input your responses before the deadline. Give at
least 3 decimal places where applicable.
Questions #1 - #8 refer to the following information.
Marketing organizations someti
STAT*2060DE F
Questions for Assignment #7
Assignment #7 is another D2L quiz. All of the calculations are possible by hand, but some
may be lengthy. You may want to carry out some of these procedures on a computer.
Excel, S-Plus, R, various other statistic
STAT*2060DE F
Questions for Assignment #8
Assignment # 8 is another D2L quiz. Please input your responses before the deadline. The
usual rules apply. Give at least 3 decimal places where applicable.
The next 3 questions refer to the following information.
STAT*2060DE
Summary Notes for Unit 1: Descriptive Statistics
For each section of the course Ill put up summary notes of the required material. At the
end of these notes there will be suggested textbook readings, suggested textbook questions,
and suggested
STAT*2060DE
Summary Notes for Unit 2: Probability
An understanding of basic probability is required in order to carry out statistical inference
techniques and properly interpret the results. We also need a knowledge of basic probability in order to make g
STAT*2060DE
Summary Notes for Unit #6
Part A: 2 Tests for Count Data
Our last unit in this course covers two major topics in statistics: 2 tests for count data
and linear regression. In both of these topics we are primarily interested in exploring
relatio
STAT*2060DE
Summary Notes for Unit #6
Part B: Regression and Correlation
Regression Analysis investigates the relationship between a quantitative response variable
and one or more explanatory variables. We may wish to use explanatory variables to help
us
Introduction
Terminology
Types of Data and Studies
Sample as Compared to Population
Plots from our Past
Week 1: Statistical Thinking
Peter Kim
Department of Mathematics and Statistics
University of Guelph
Jan 5 9, 2015
Peter Kim
Week 1: Statistical Thinki
Data
Measures of Location
Measures of spread
zscore and Outliers
Empirical rule
Week 2: Descriptive Statistics
Peter Kim
Department of Mathematics and Statistics
University of Guelph
Jan 12 16, 2015
Peter Kim
Week 2: Descriptive Statistics
Department of M
Basic Definitions
Compound Events
Conditional Probability and Independence
Sampling
Bayes rule
Week 3: Probability
Peter Kim
Department of Mathematics and Statistics
University of Guelph
Jan 19 23, 2015
Peter Kim
Week 3: Probability
Department of Mathemat
Week 4: Random variables I: discreet
Peter Kim
Department of Mathematics and Statistics
University of Guelph
Jan 26 Jan 30, 2015
Peter Kim (Department of Mathematics and Statistics
Week University
4: Randomofvariables
Guelph) I: discreet
STAT*2060W15
1 /
Week 5: Random variables II: Continuous
Peter Kim
Department of Mathematics and Statistics
University of Guelph
Feb 2 Feb 6, 2015
Peter Kim (Department of Mathematics and Statistics
Week 5:University
Random variables
of Guelph)
II: Continuous
STAT*2060W15
Introduction
Terminology
Types of Data and Studies
Sample as Compared to Population
Sampling and the Normal Distribution
Week 6: Random Variables III: Sampling
Peter Kim
Department of Mathematics and Statistics
University of Guelph
Feb 9 13, 2015
Peter Ki
STAT*2060DE
Questions for Assignment #1
Assignment #1 will be a D2L quiz. The questions on the quiz will be the same as those
given here. Read the document Intro to quizzes for STAT*2060DE on D2L for more
information about how these quizzes are set up. Un
Week 4: Han-dam variables I: discreet I
Peter Him
E'l'lil-I-f'ul-lll'll u'l Methen'late and Eta-tiltin-
Unih-erli'lry -:rf Guelph
Jan Eli] - Feb 3. EDIE Preliminaries
A randnrn variable is the realizatlbn at what we prevlbuslv called an
experiment.
f
STAT*2060DE
Summary Notes for Unit #4
Part B: Hypothesis Testing
There are two main types of statistical inference procedures, confidence intervals and hypothesis tests.
In Unit #4 Part A, we encountered confidence intervals. In Part B we'll look at hypot
STAT*2060DE
Summary Notes for Unit #3
In this unit we encounter a few very important concepts in statistics, namely the normal distribution,
sampling distributions, and the Central Limit Theorem. Although there are many questions regarding
probability, th
STAT*2060DE
Summary Notes for Unit #6
Part A: 2 Tests for Count Data
Our last unit in this course covers two major topics in statistics: 2 tests for count data and linear
regression. In both of these topics we are primarily interested in exploring relatio
STAT*2060DE
Summary Notes for Unit #5
Section 1. Introduction.
Unit #5 deals with inference procedures for comparisons of two populations. These procedures are
typically more interesting and informative than single sample procedures. For example, we may w
STAT*2060DE
Summary Notes for Unit #4
Part A: Confidence Intervals
In Unit #4 we encounter two main concepts in statistical inference: confidence intervals and
hypothesis tests. Unit #4 of the manual covers both topics, but that is rather too much materia
STAT*2060DE
Summary Notes for Unit 2: Probability
An understanding of basic probability is required in order to carry out statistical inference techniques
and properly interpret the results. We also need a knowledge of basic probability in order to make g
Introduction
What is Statistics?
Introduction
Goal of Statistics
Introduction
Statistics and Business Decision Making
Introduction
Objectives of this course
Terminology
Basic Terminology
Terminology
Schematic
Framework
Terminology
Example
Types of Data an