Stat 2080 - Winter 10 - Assignment 2 solutions - out of 50 points
1. Question 1
How many dierent ways are there of choosing 6 objects from a collection of 14 dierent
objects? Select the best answer. a. 3003 b. 3060 c. 48620 d. 210
(4)
Answer was a.
14! /(
CSCI 1101 Winter 2015
Lab. No. 7
SOLUTIONS
Exercise 1: Write a program that reads words into two ArrayLists list1 and list2 and then creates a third
ArrayList that contains words which are common to both list1 and list2. You may assume that the strings
ar
1
STAT 2060: Assignment 1
SOLUTIONS
1. An experiment consists of two steps. First a coin is ipped. if the outcome is tails, a die
is tossed. If the outcome is heads, the coin is ipped again.
(a) Which is the sample space for the experiment?
(i) S = cfw_T1
CSCI 1101 Winter 2015
Laboratory No.8
SOLUTIONS
Exercise 1:
/set a node at a given index to the given value
public void set(int index, String d)
cfw_
if (index<0 | index>=size()
System.out.println("Index out of bounds");
else
cfw_
Node curr = head;
for(in
Stat2080 - Winter 10 - Assignment 3 Solutions (out of 50 points)
1. Question 1
Human beta endorphin (HBE) is a hormone secreted by the pituitary gland under conditions of stress. An exercise physiologist measured the resting (unstressed) blood concentrati
Stat2080 - Winter 2010 - Assignment 1 Solutions (out of 50 points)
1. Question 1.
The Super Sneaker Company is evaluating two dierent materials, A and B, to be used
to construct the soles of their new active shoe targeted to city high school students in
C
1
STAT 2060: Assignment 2
SOLUTIONS
Note: There were variants for most of the questions, so the answers shown may not be correct
for your assignment. However the methods used for these questions would give the correct
answers for your assignment.
1. There
1
STAT 2060: Assignment 8
Solutions
1. Suppose a random sample of 50 bottles of CoughGone cough syrup was
collected and the alcohol content (in wt. percent) of each bottle
measured. A 90% condence interval for bottle true mean alcohol
content, was then de
1
STAT 2060: Assignment 7
SOLUTIONS
Note: There were variants for most of the questions, so the answers shown may not be correct
for your assignment. However the methods used for these questions would give the correct
answers for your assignment.
1. Suppo
{ii
|I{1}
{3}
{1]
1. The l'ullcrwzing is a Iiiinitah 3tdﬂﬂ-it'ﬂf pint of the numb-er of day's that '11] 11911999 in a
1mL't-it'ular mm were an thﬁ market waiting in he WM.
Stem—aud—laaf of I31 H
I40
Leaf Unit- = 1.0
2 0
2 1
5 2
13 3
18 4
(a) 5
14 Ii
1' 'i
STAT 1060 - Module 1 - Quantitative Data - Chapter 4
Dr. Ammar Sarhan
March 15, 2015
The Main Points
The ve-number Summary.
Outliers.
Boxplots.
Comparing distributions.
Re-expressing (transforming) data.
1
The Big Picture
We can answer much more int
STAT 1060 - Chapter 5 Notes
The Standard Deviation as a Ruler and Normal
Model
Dr. Ammar Sarhan
Department of Mathematics & Statistics, Dalhousie University
March 23, 2015
Dr. Ammar Sarhan
Exploring and Understanding Data
March 23, 2015
1 / 37
Distributio
STAT 1060 - Module 1 - Quantitative Data - Chapter 3
Dr. Ammar Sarhan
March 15, 2015
The Main Points
Displaying and summarizing quantitative data.
Numerical measures:
Measures of location: Mean, median, mode and quartiles.
Measures of spread: Range, i
Chapter 20.4:
Hypothesis Test for the Mean
Holly Steeves
Dalhousie University
November, 2015
Holly Steeves (Dalhousie University)
Chapter 20.4: Hypothesis Test for the Mean
November, 2015
1/1
The one sample t-test is used when we want test possible values
STAT 1060 - Chapters 12 and 13 Notes
From Randomness to Probability
and
Probability Rules
Dr. Ammar Sarhan
Department of Mathematics & Statistics, Dalhousie University
March 24, 2015
Dr. Ammar Sarhan
Randomness and Probability
March 24, 2015
1 / 37
Random
STAT 1060 - Chapters 14 Notes
Random Variables
Dr. Ammar Sarhan
Department of Mathematics & Statistics, Dalhousie University
April 4, 2015
Dr. Ammar Sarhan
Random Variables
April 4, 2015
1 / 33
Outcomes
Dene random variables.
Classify random variables to
STAT 1060 - Chapter 15 Notes
Sampling Distributions
Dr. Ammar Sarhan
Department of Mathematics & Statistics, Dalhousie University
April 6, 2015
Dr. Ammar Sarhan
Sampling Distributions
April 6, 2015
1 / 12
Main Points
Properties of a Statistic, such as sam
(8)
(3)
(3)
Department of Mathematics and Statistics
Dalhouise University
STAT 1060 / MATH 1060 — Final Examination
Time and Date: 8:30 — 11:30, April 10, 2014
Last name First name
Name: Student ID: _——————
This ﬁnal exam is worth a total of 100 points.
Introduction to Probability
and Statistics
Slides 3 Chapter 3
Ammar M. Sarhan,
[email protected]
Department of Mathematics and Statistics,
Dalhousie University
Fall Semester 2008
Chapter 3
Discrete Random Variables
and
Probability Distributions
Dr.
Introduction to Probability
and Statistics
Slides 2 Chapter 2
Ammar M. Sarhan,
[email protected]
Department of Mathematics and Statistics,
Dalhousie University
Fall Semester 2008
Chapter 2
Probability
Dr. Ammar Sarhan
2
Chapter Goals
After completin
Chapter 21:
Comparing Means
Holly Steeves
Dalhousie University
November, 2015
Holly Steeves (Dalhousie University)
Chapter 21: Comparing Means
November, 2015
1 / 11
One Sample test for
Recall: With our one sample problem, we have some initial claim for t
Chapter 22:
Paired Samples
Holly Steeves
Dalhousie University
November, 2015
Holly Steeves (Dalhousie University)
Chapter 22: Paired Samples
November, 2015
1 / 14
When the assumption of independent samples required for the pooled
t-test is invalid, we nee
Introduction to Probability and
Statistics
Slides 4 Chapter 4
Ammar M. Sarhan,
[email protected]
Department of Mathematics and Statistics,
Dalhousie University
Fall Semester 2008
Chapter 4
Continuous Random
Variables and
Probability Distributions
Dr
Introduction to Probability
and Statistics
Slides3 Chapter3
Ammar M. Sarhan,
[email protected]
Department of Mathematics and Statistics,
Dalhousie University
Fall Semester 2008
Chapter 3
Discrete Random
Variables and
Probability Distributions
Dr. Am
Introduction to Probability and
Statistics
Slides 4 Chapter 4
Ammar M. Sarhan,
[email protected]
Department of Mathematics and Statistics,
Dalhousie University
Fall Semester 2008
Chapter 4
Continuous Random
Variables and
Probability Distributions
Dr
Introduction to Probability and
Statistics
Chapter 5
Ammar M. Sarhan,
[email protected]
Department of Mathematics and Statistics,
Dalhousie University
Fall Semester 2008
Chapter 5
Joint Probability Distributions
and
Random Samples
Dr. Ammar Sarhan
2
Introduction to Probability and
Statistics
Chapter 7
Ammar M. Sarhan,
[email protected]
Department of Mathematics and Statistics,
Dalhousie University
Fall Semester 2008
Chapter 7
Statistical Intervals
Based on a
Single Sample
Dr. Ammar Sarhan
2
Con
Introduction to Probability
and Statistics
Slides 2 Chapter 2
Ammar M. Sarhan,
[email protected]
Department of Mathematics and Statistics,
Dalhousie University
Fall Semester 2008
Chapter 2
Probability
Dr. Ammar Sarhan
2
Chapter Goals
After completin
1
Continuous Probability Distributions
1.1
Probability Density Functions and Cumulative Distribution Functions
Recall, a continuous RV is a RV whose set of possible values is an entire interval
of numbers (an infinite set).
Because of this, the probabil
1
Probability (Chapter 2)
Probability is the study of randomness or uncertainty.
This can provide a way of quantifying the chances, or likelihood, of a particular
outcome occurring, in situations where there are multiple outcomes possible.
The probabil
1
Overview and Descriptive Statistics
A Population is a well-defined group of objects that the researcher is interested in. The population is the focus of the study, however all the information
about the population is typically not available.
Examples:
1
Chapter 5 - Joint Probability Distributions
In the last two chapters, we looked at single random variables and their distributions, whether they were discrete or continuous. Now, we will look at two randomly
variables, and how they are distributed toget
MATH2060 by Michael
Chapter 2
1. (Easy) An experiment starts by tossing a coin. If the coin turns up heads you roll a die.
(a) List the items in the sample space.
(b) Assign probability to each of the outcomes in the sample space.
(c) Suppose you get $3 i