Role of Management Assignment Coach Carter
1. Coach Carter was successfully able to meet each of the roles of management during the movie. I know this because he was able to coach a successful basketball team while making sure his players were able to man
Activity #2
Purpose: The purpose of this activity is to use the digital potentiometer instead of the manually adjusted potentiometer.
Programming Code: N/A
Applying what we learned: The knowledge gained from this activity can be used when we want to use
Meaning of r2 - Worked Example
Example
x = explanatory variable
= temperature (degrees Celsius)
y = response variable
= yield (kg)
x
18
19
20
21
22
23
24
25
26
27
28
29
y
76.1
77.9
78.1
78.2
78.8
79.7
79.9
81.1
81.2
81.8
82.8
83.5
1
First check that a reg
CORRELATION
Data arise in pairs
(xi, yi),
i = 1 , 2, . . . , n
Response y : outcome of experiment
Explanatory x: explains outcome
Scatterplot
Plot observed pairs (xi, yi) in x-y plane
1
Example: Cancer Mortality in Oregon
vs Radioactive Contamination
Coun
Creativity
Dr. E. Cranston
and Mr. V. Leung
2G03 Lecture 12: Creativity (1)
Housekeeping
Emily Cranston: [email protected]
OFFICE HOURS:
Dec 7th only: 1 pm to 3 pm (JHE A412)
Vince Leung: [email protected]
Due today:
Corrected term paper (with abs
Analysis and Classification
Dr. E. Cranston and Mr. V. Leung
2G03 Lecture 11: Analysis and Classification (1)
Housekeeping
Emily Cranston: [email protected]
OFFICE HOURS:
Wednesdays 1 pm to 3 pm (JHE A412)
Vince Leung: [email protected]
Due today:
PROBABILITY
Chapter 2.1
Deterministic: dx = bx.
dt
Statistical:
observation = true value + error
error dierent each time experiment
is performed.
1
Example. Quality control. Sample n,
X = proportion defective, p = true defective rate.
X = p + error
In pr
Conditional Probability
Probabilities do not live in a vacuum.
They are specied by conditions which
may change or about which additional
information may become available. Consider A, B with P (A), P (B ) given. Suppose have knowledge that B occurred.
How
RANDOM VARIABLES
Measurements and observations are called
random variables. Each results from an
outcome of an experiment, so:
Denition: Random variable X is real
function on sample space S.
Start with discrete r.v. RX is nite or
countable.
1
For any real
Binomial Distribution
Assumptions
n independent trials
trial i has dichotomous outcome (0 or 1, no or yes, failure or success, etc.) denoted
by Xi. Called Bernoulli trials.
probability of success on any
trial is the same p.
1
Let Y = # of successes.
Y
Example:
- 19 19 square Go board (Japanese board
game)
- throw dart repeatedly and at random
- mark square hit
1
1
1. P (specic square hit) = 19
1= 1
19
361
2. How many throws, until high
probability of hitting some square
again?
3. After N throws, what
Poisson Distribution
Flaws occur at random along
length of oil pipeline. Average
per unit length. Y = number of
aws in a randomly selected section of pipeline of length 1. Can
we determine the distribution of
Y?
Generic situation is incidents
happening o
MULTIVARIATE
DISTRIBUTIONS, DATA
Rarely only one random variable.
Usually many cfw_X1, . . . , Xn & function u(X1, . . . , Xn).
distribution.
Need joint
n = 2. Notation
cfw_X, Y . Joint p.m.f.
f (x, y ) = P (X = x and Y = y )
P (X = x, Y = y )
1
.
Exerci
Continuous Random
Variables
Continuous random variables are
random variables
that arise from measurements
can take any value in interval
Example.Random numbers in [0, 1]
used in random number generators.
1
.
Think of a circle with circumference 1 and a
NORMAL Distribution
Most important distribution in statistics
1
1
2
f (x) = e
2
x 2
1
E [X ] =
Var X =
P (X x) = F (x)
2
1
x
1 t
= t= e 2 dt
2
No formula for this integral. Tables exist C4 p568-9 for standard normal
Standard Normal
= 0, = 1.
Notation:
Time and Stress
Management
Dr. E. Cranston and Mr. V. Leung
2G03 Lecture 10: Time and Stress Management (1)
Housekeeping
Emily Cranston: [email protected]
OFFICE HOURS:
Wednesdays 1 pm to 3 pm (JHE A412)
Vince Leung: [email protected]
Due today: N
Oral Presentation Skills and
the Unique You
Ms. S. Charlong, Dr. E. Cranston,
and Mr. V. Leung
2G03 Lecture 9: Oral Presentations and the Unique You (1)
Housekeeping
Emily Cranston: [email protected]
OFFICE HOURS:
Wednesdays 1 pm to 3 pm (JHE A412)
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CHEMISTRY
What is the world made of?
The material world that we live in is the macroscopic
counter part to a microscopic world of atoms & molecules.
We will become familiar with the various atoms & the
molecules they form.
Also, the states of matter & phy
THERMOCHEMISTRY
→ 1st Law of Thermodynamics
→ Enthalpies of Reaction - Hess' Law, etc.
→ Bond Energies
Why Thermochemistry?
We've discussed some physical processes - eg. dissolution of
ionic solids (salts) in water - & some chemical reactions precipitatio
ELECTRONIC STRUCTURE OF ATOMS
Light & other electromagnetic radiation have both wave-like &
particle-like properties.
Atomic spectra show that electrons also have wave-like
properties - in addition to being particles.
Atoms have discrete energy levels
→ e
PERIODIC PROPERTIES
Ionization Energy . IE
Atoms exhibit a photoelectric effect
→ photoelectron spectroscopy
A gaseous atom can absorb a photon (of sufficiently high
energy) to eject an electron - ionization
hν = Ephoton = IE + melectron v2/2
Ionization e
CHEMICAL BONDING
We have seen how it is most favorable for atoms to have a full
outer shell (valence shell) of electrons. This is the driving
force for atomic reactivity. Atoms seek to attain this electron
configuration - either by losing, gaining or shar
Molecular Shape
Molecules have shape - egs.
Methane CH4 :
♣
Water H2O :
♣
Can we predict these shapes?
Valence Shell Electron Pair Repulsion Model
VSPRE
1
Electron pairs about an atom arrange themselves so as to
minimize the mutual electrostatic repulsion
Physical properties of the phases of matter
•
•
•
•
•
•
Gases
little or no interaction
between molecules
low density
variable volume
(compressible)
variable shape
low viscosity
•
•
•
•
•
Liquids
significant interaction
between molecules
higher density
fix
Entropy, the 2nd Law of Thermodynamics
Gibbs Free Energy & Spontaneity
& the connection to Equilibrium
→
Which rxns go & which do not?
→
1ST Law just keeps track of energy
There is a natural direction of physical & chemical
processes not explained by the
Welcome to 2G03:
Problem Solving &
Technical Communication
Dr. E. Cranston and Mr. V. Leung
2G03 Lecture 1: Introduction (1)
Welcome
Instructors: Emily Cranston and Vince Leung
TAs: Kevin Kan and Sarah Charlong
Avenue to Learn
Courseware: 2011 updated