BAUD 3355
Class Slide Set 1
Mayport NROTC Shoot-off
TAMU-CC vs. LSU-Shreveport
Jan/Feb 2014
NAVAL ROTC FINAL CLASS
REVIEW
Each Cadet is given one shot using the on board marine interdiction
service riffle of the USS Utah.
School: TAMU-CC
Date: Feb 4th, 2014
Location: Mayport Naval Station, Jacksonville FL
NAVAL ROTC FINAL CLASS
REVIEW
Each Cadet is given one shot using the on board marine interdiction
service riffle of the USS Utah.
School: LSU - Shreveport
Date: Jan 15th, 2014
Location: Mayport Naval Station, Jacksonville FL
Who has the better ROTC
Instructor?
Who got closer to “killing” the
target
A few comments on words and
numbers
Marc Spensor
Lead Teller
Klevalley Bank, Alice, TX
2014-20166
Managing and resolving customer concerns and conflicts
Proactively working with management to maximize effectiveness and
efficiency through delegation of responsibilities

Implementing operational processes to minimize risk

Actively working with minimal supervision and providing coaching to other
tellers through implementation of sales and service techniques learned

Working individually and collaboratively to complete multiple tasks
simultaneously within assigned timeframe or before due

Anthony Billings
Lead Teller
Klevalley Bank, Bishop, TX
2014-2016
Managing and resolving customer concerns and conflicts
Proactively working with management to hand $4,1 million in annual
transactions through delegation of responsibilities


Implementing 18-step operational processes to minimize risk
Actively working with minimal supervision and providing coaching to
other 5 tellers through implementation of sales and service techniques
learned

Working individually and collaboratively to complete multiple tasks
simultaneously within assigned timeframe or before due

My Breakfast Example
411
480
510
403
460
1610
18096 Total
646.2857 Average
1741
425
1611
1192
405
227
A few comments on data and
graphs
Dow Jones – Regular View
Dow Jones – Yr/Yr change
view
1
9
2
0
M
1
Year Month
1
9
6
4
M
1
Year Month
2
0
0
8
M
1
2
0
0
5
M
4
2
0
0
2
M
7
1
9
9
9
M
1
0
1
9
9
7
M
1
1
9
9
4
M
4
1
9
9
1
M
7
1
9
8
8
M
1
0
1
9
8
6
M
1
1
9
8
3
M
4
1
9
8
0
M
7
1
9
7
7
M
1
0
1
9
7
5
M
1
1
9
7
2
M
4
1
9
6
9
M
7
1
9
6
6
M
1
0
Dow Jones
1
9
6
1
M
4
1
9
5
8
M
7
1
9
5
5
M
1
0
1
9
5
3
M
1
1
9
5
0
M
4
1
9
4
7
M
7
1
9
4
4
M
1
0
1
9
4
2
M
1
1
9
3
9
M
4
1
9
3
6
M
7
0
1
9
3
1
M
1
6000
1
9
3
3
M
1
0
Series1
1
9
2
8
M
4
10000
1
9
2
5
M
7
12000
1
9
2
2
M
1
0
8000
In
d
e
x
16000
1
9
2
0
M
1
2
0
0
8
M
1
2
0
0
5
M
4
2
0
0
2
M
7
1
9
9
9
M
1
0
1
9
9
7
M
1
1
9
9
4
M
4
1
9
9
1
M
7
1
9
8
8
M
1
0
1
9
8
6
M
1
1
9
8
3
M
4
1
9
8
0
M
7
1
9
7
7
M
1
0
1
9
7
5
M
1
1
9
7
2
M
4
1
9
6
9
M
7
1
9
6
6
M
1
0
1
9
6
4
M
1
1
9
6
1
M
4
1
9
5
8
M
7
1
9
5
5
M
1
0
1
9
5
3
M
1
1
9
5
0
M
4
1
9
4
7
M
7
1
9
4
4
M
1
0
1
9
4
2
M
1
1
9
3
9
M
4
1
9
3
6
M
7
1
9
3
3
M
1
0
1
9
3
1
M
1
1
9
2
8
M
4
1
9
2
5
M
7
1
9
2
2
M
1
0
In
d
e
x
Dow Jones – Regular vs. Log
Axis View
Dow Jones
100000
14000
10000
1000
Series1
100
4000
10
2000
1
0
Year month
2007M1
2004M1
2001M1
1998M1
1995M1
1992M1
1989M1
1986M1
1983M1
1980M1
1977M1
1974M1
1971M1
1968M1
1965M1
1962M1
1959M1
1956M1
1953M1
1950M1
1947M1
1944M1
1941M1
1938M1
1935M1
1932M1
1929M1
1926M1
1923M1
1920M1
index
In excel to change axis, right
click on axis then
options/scale
Dow jones
16000
14000
12000
10000
8000
Series1
6000
4000
2000
Don’t check your Brains at
the door.
A Graph:

May be misleading
 Be scaled misleadingly
 May have incorrect data
 May show correlation – Not
necessarily Causation.
Questions to ask yourself
Is
it in “real” (inflation adjusted
dollars)?
Is it over the right time frame?
What other data is related?
What is causing what? Or is
something else causing this to
happen?
Causality -- Police cause crime?
The upward-sloping curve shows that cities with a higher
concentration of police are more dangerous. Yet the graph does not
tell us whether police cause crime or crime-plagued cities hire more
police.
17
Graph with an Omitted Real Cause of
Correlation
The upward-sloping curve shows that members of households with
more cigarette lighters are more likely to develop cancer. Yet we
should not conclude that ownership of lighters causes cancer
because the graph does not take into account the number of
cigarettes smoked.
18