Friday, March 18, 2016
The largest prime
The largest prime number ever seen by humankind was found on January 7, 2016. It weighs in at 22,338,618 digits in length. It is what is known as a Mersenne prime (274,207,281-1). Mersenne primes are a group of prime numbers of the form 2n -1 where n is is assumed to be prime. This is a fascinating find. Prime numbers are the "building blocks" of all other numbers. Their unique nature has led many number theorists and math enthusiasts to study them in great detail. Although they are used heavily in cryptography, the latest find is far too large to be used in any encryption schemes to date. But as computation theory evolves and computer architectures become more sophisticated these extremely large primes may find their place.
Tuesday, September 22, 2015
The "common core check guy"
In the news
recently, we see the story of Doug Herrmann. Doug is a father from
Ohio who out of frustration with his child's math homework, wrote a
check using common core methods. He was frustrated because he was
unable to understand what the school was teaching his son, and
therefore was unable to help his son with his math homework.
The ten card system that his “viral” check picture was intended to highlight is not a terrible method of mental math. One exception is that for some
it abstracts the idea so far that it seems to become separate from
the actual “math”. Utilizing grouping techniques is in no way a
“bad” technique to understand mental math. However, it becomes a
problem if too much emphasis is placed on a single rigid method.
Using the ten card
system is one of many useful techniques for understanding grouping.
We only run into problems when the standardized testing systems force
children to “believe” there is only one right way. The testing
should only test for the ability to solve problems and not for the
strict adherence to a single “correct” way of getting there. The
practice tests I have looked at appear as though they are actually
structured that way. The second grade tests do emphasize place
value, but do not seem to indicate a single method. Now as far as the
rigidity of the teachers, I have not seen how this comes into play. I
do know that in many instances students fall behind due to teachers
being too strict in the techniques that you use.
Please understand
that I am well aware that there has been a rising trend in math
illiteracy. I am not completely blasting common core. I , along with
other parents, have some questions about the implementation and
flexibility of these standards.
Some questions I
have include:
-
How flexible are the methods used ?
-
Are students being taught that the ten card system is the “only correct” method ?
-
Will students be penalized for utilizing other techniques to arrive at their answers ?
-
-
How are conflicts between common core, and how the parents teach their children handled ?
-
Do teachers penalize their students for the way their parents teach them to solve problems ?
-
-
Is there an awareness of the different ways people understand concepts ?
-
Is there an accommodation in place for students who understand place value through other means than just grouping visualizations? ( e.g. positional notation instead of ten cards.)
-
These questions go
beyond just common core. The rigid adherence to single techniques has
long been the culprit behind the fall in mathematics education.
On a personal
note, I have been a victim to the rigidity of teachers. When I was in
high school(many years before common core) I failed a math class
simply due to my teacher not approving of my mental math techniques.
To be fair, I would like to emphasize the math teacher was not
actually a math teacher, she was a soccer coach moonlighting as a
math teacher due to a poor student teacher ratio.
The conflict arose
when I was forced to show my work(and by show my work I mean that my
teacher wanted to see the remedial addition, subtraction,
multiplication, and division) This was an algebra class, where
showing your work meant to show the steps taken to simplify the
expressions. However, this instructor insisted we not just show that
we had to multiply she wanted to see the actual steps we took to
multiply. I thought this was odd in an algebra class, because
learning to multiply was second grade. However, I did comply and
attempted to be verbose with “showing my work”. However, my
method of “long hand” multiplication was different from what she
was taught. Most people are taught the “only” way to multiply is
to start in the one column and carry and borrow and all these other
concepts. I used a more “short hand” method which lends itself
well to mental math. I would start with the highest power of ten
column and work left to right instead of right to left. For example
if I were to multiply two digit numbers I would start in the tens
column and multiply no need for carrying and borrowing. You are just
simply adding up zeros. This method isn't understood by all, but it
was how I understood numbers and place value. Unfortunately, my math
teacher was strict and rigid in how she wanted it done and failed me
on all of my quizzes. I understood the algebra part and understood
the basic calculations part, and arrived at the correct answer. I
just applied a different method for the basic calculations.
Now my story is
sadly similar to many other students. For most, these situations
reinforce their frustrations with mathematics. It can quickly lead
students to make snap judgments about the efficacy of learning and
understanding math. They soon start to see math as a foolish endeavor
with rigid methodologies not worth their time. Or they could simply
just give up believing they will never understand and struggle to
merely pass.
I don't exclusively
place the blame on teachers for the problem of rigidity. The parents
also hold a share of the blame. As with the “common core check guy”
Doug Hermann and some of the comments on his posting, they also find
themselves rigid in their understanding. Simply not understanding a
technique of solving a problem does not condemn it. Rather, it simply
means you should probably learn more about it before condemnation.
Wednesday, July 1, 2015
Propositional calculus: an introduction
Propositional
calculus is the branch of mathematics that deals with the rules of
logic and evaluation of statements or propositions. It is sometimes
referred to as sentential calculus for its use of the sentential
conjunctions. It is primarily concerned generating laws for
evaluating conjugated statements. Propositional calculus is part of a
broader science of logic and proof.
Some of the symbols
used in propositional calculus:
Symbol
|
Meaning
|
¬
|
Not or negation
|
^
|
and
|
v
|
or
|
→
|
implies
|
↔
|
If and only if
|
P
|
Sentential Statement
|
Q
|
Sentential
Statement
|
T
|
True
|
F
|
False
|
In propositional
calculus the above symbols are used in constructing truth tables for
evaluating compound or conjugated sentences. The truth tables
provide a short hand tool for deriving new laws from the simple
compound sentential statements. Truth tables like the one below
shows some of the simple rules and the new rules derived from those.
P
|
Q
|
P→Q
|
P^Q
|
PvQ
|
(P^Q)→P
|
P ↔
Q
|
T
|
T
|
T
|
T
|
T
|
T
|
T
|
F
|
T
|
T
|
F
|
T
|
T
|
F
|
T
|
F
|
F
|
F
|
T
|
T
|
F
|
F
|
F
|
T
|
F
|
F
|
T
|
T
|
This is just a
simple introduction to propositional calculus, it is part of a much
broader branch of propositional logic . It is useful in the
formulation of logic rules, and methods of proof.
Saturday, June 20, 2015
The "Reality" of math and logic
Logic has been
used as a methodology even before its formalization. In order to
survive, our progenitors had to be able to deduce whether a
particular place or event was dangerous. These more earlier versions
of ourselves, needed to determine what was safe to eat and where food
was located. In this sense they were using logic intuitively.
As societies
evolved, we became aware of a need for a system of accounting. We
developed symbols to serve as abstract models for real world objects.
Empirically , we can demonstrate the need for a modeling system. We
can also demonstrate that these models of real world objects work.
The models functionality means they can be used for future
discoveries, and aids in civilization building.
Enumeration
permeates our entire civilization and history on multiple levels. It
observably exists separate from language. From the simplest counting
systems, patterns began to emerge. The laws of mathematics became
more complex, and a method of proof was needed that was empirically
verifiable. The earliest proofs were purely empirical as used by the
Pythagoreans and Thales of Miletus. Over time, mathematical proofs
slowly became less heuristic and a formalized system of logic was
becoming more prominent. Logic was largely an emergent aspect of
these methods of empirical verification. The methods of logical proof
slowly grew over the next two and half centuries from Thales around
550 BCE to Euclid around 300 BCE. Euclid is credited with formulation
of the axiomatic method of proof.
The Euclidean style
of proof through axioms, appears assumptive, or only
justifiable a priori.
The axioms served as
descriptions or definitions of geometric objects. The definitions
could be demonstrated empirically in general, but they did rely on
assumptions. For example, take the statement 2 points determine a
line. This is a postulate proposed as self-evident, and deduced
from it is many other theorems. If you were to take this as meaning
all statements derived rely on a non-empirical premise you would be
incorrect. The statement can be demonstrated as empirically true. You
would simply have to draw a line through only one point. The line
drawn, would be a point and not a line. To construct a line you would
have no choice but to have it pass through multiple points. So, we
can see the statement is both self-evident and empirically
demonstrable.
The evolution of
mathematical systems of proof allowed for a more formalized system of
logic. All of which finds its origins in our innate pattern
recognition. The ability to recognize patterns and natural desire to
seek them out led to the mathematical modeling of real world objects.
The modeling techniques made a complete system of logic and
mathematics more easily constructed and shared. We formulated logical
and mathematically complete laws and theorems from some of the
simplest models.
We see that these
models are intuitive,empirical, and justified in their use.
Labels:
Euclid,
math history,
Mathematics Education,
number systems,
Pythagoras
Tuesday, June 2, 2015
Positional Notation
Positional
Notation
Our number system is base ten, as many learned in elementary school. Which means that there is only ten symbols to represent numbers. 0,1,2,3,4,5,6,7,8,9 . To represent ten we use 1 and 0 (10). Which when we learned place value, we recognized this as 1 in the tens place and 0 in the ones place. What this means is that the position of the symbol will determine the value of the number. For example when we see the symbol 34 we recognize it as 3 tens and 4 ones. We would often see something like:
Tens ones 3 4
We are mostly taught this and just accept it as is and move on. To dig a little deeper into to place value I will introduce a new way of looking at this (Positional Notation) . To rewrite our example ,34, into positional notation we get this:
3 x 10¹ + 4 x 10º
The reason I write it this way is that is represents a number as powers of the base it is in. In this case it is base 10. Positional notation gives us a way of looking at numbers relevant to their base. The reason this is useful to learn, is that it gives us a quick way to convert numbers from other bases to base ten. For example, if you need to convert the number 101 in binary to base 10 you can rewrite 101 in positional notation and convert it easily. Since 101 is in binary we will use powers of 2 instead of 10 and we get
1 x 2² + 0 x 2¹ + 1 x 2º 1 x 4 + 0 x 2 + 1 x 1 4 + 0 + 1 5
As you can see from the table above just by rewriting the number into positional notation relevant to the base it is in you add it all up and you get the number in base 10. So when we convert 101 from binary to base ten we get 5.
This is just a neat little trick I use to quickly convert numbers from other bases to base 10. With a little practice, you can convert numbers from most bases back to base ten almost effortlessly. There is other ways of converting number to other bases, I just really like this one.
Labels:
number systems,
number theory,
positional notation
Tuesday, July 30, 2013
Python and Prime number Lists
Prime numbers, although simple in definition, provide
several complexities in the field of mathematics, as well as in computer
science. For reference, prime numbers are natural numbers which are only
divisible by one and themselves. On the surface, this definition seems
straightforward and not an important area for research. However, there are a
great many applications of prime numbers.
Prime numbers are essentially the building blocks of all other numbers. For centuries, this unique set of numbers has
mesmerized and even baffled some of the greatest mathematicians. The distribution of prime numbers is another
big area of mathematics research. It would be great if we could find a formula
for the nth prime. Yet, it seems as though it would be impossible. We can
however use computers to do this for us up to the limits of the processing
power available. No real efficient
algorithms exist to find primes other than methods of iterating through every
number up to the square root of a given number to determine if it is
prime. Finding the patterns with some
high level mathematics, is being used but no solid proofs exist yet to
revolutionize this area of research.
With this in mind I would like to continue with discussing python in
mathematics.
I previously showed a fairly simple program for Slope-intercept using python. The program served
to output a formula in slope-intercept form given two points. In another post on computer programming in
mathematics, I included some Java code for testing if a number is prime. Below
I have a Python code to ask for 2 numbers to serve as the starting point and
ending point for listing primes within
that range. I have not included any
error checking or input checking, so it
is important to ensure this code works you must enter an integer greater than
1. If you do not do this you will not get a meaningful output or you will get
errors. This was written and tested in
Idle 3.2 so it may not work as expected in other versions. This code also utilizes the standard sieving
algorithm to perform its prime checking so it is by no means efficient for
larger inputs and can be very processor intensive
.
CAUTION!!! only
use this code to list primes in small ranges CAUTION!!!
The caution is here because I have
locked up my computer trying to list primes from 2 – 10,000,000 I would
recommend running it on ranges in the 100's It was originally written for
educational and research purposes only.
I generally use it to write primes to text files to print out as educational resource materials.
#primecheck(x) checks if x is prime returns boolean#
def primecheck(x):
i=2
for i in
range(2,x):
if x%i == 0:
return
False
return True
#primelist(start,stop) lists all prime numbers between start
and stop#
def primelist():
start =
int(input('Enter starting point must be an integer greater than 1: '))
stop =
int(input('Enter ending point must be an integer greater than 1: '))
i=2
primeList = []
for i in
range(start,stop):
if
primecheck(i) == True:
primeList.append(i)
return primeList
print (primelist())
Sunday, July 28, 2013
Python Slope-Intercept
Python is a wonderful programming language for
quickly coding solutions to many problems. You can download python by going to python.org/download
and selecting the version that’s best for your operating system. Python can run from command line or though
Idle that comes with most python downloads.
I have been working with python for almost a year now and it has become
my “go to “for
a lot of work in mathematics. It is not necessarily the
“best” language for processor intensive mathematical algorithms, but it can offer
efficient and quick solutions that can be easily applied to larger
projects. Recently, I have been doing
some review of linear algebra and slope-intercept formulas. This is a fairly
simple subject in mathematics but I thought it might be interesting to use
python to solve some of these problems.
My solution might not be elegant but it is fairly simple. I designed the program to take in two points
(x1, y1), (x2, y2) and output an
equation of the line in slope-intercept form.
For those who may not be familiar slope-intercept form it is y = mx + b where m is the slope and b is the
y- intercept. The slope is calculated from the two given points by the formula
(y1-y2)/(x1-x2) and the y -intercept can be found by
b = y – mx.
Slope-intercept is useful in linear depreciation
models. For example: if you bought a car at $81,292 and after 10
years it is only worth $33,121 to find out how much it will be worth after 13
years you can use slope-intercept to get a depreciation formula. The two points
are at 0 years it is 81,292 (0, 81,292) and at 10 years it is 33,121 (10 ,
33,121) substituting these numbers into our formulas you first find the slope
which will represent the rate of depreciation.
You use the slope formula (y1-y2)/(x1-x2)
(33,121 – 81,292) /
(10-0) = -48,171 / 10 = -4817.1 and
the y intercept is b = y – mx. 81292-
0(4817.1) = b= 81292 and putting it together you get y = (-4817.1) x + 81292 using this formula we can then determine
the value of the car at 13 years by substituting 13 in for x
y = (-4817.1)13 + 81292
and we get 18,669.70 so after 13 years our car is worth $18,669.70
The Python code to find our linear depreciation formula is fairly
straight forward
def slope():
result = ''
x = float(input("enter x one"))
y = float(input("enter y one"))
a = float(input("enter x two"))
b = float(input("enter y two"))
slope = (y-b)/(x-a)
yint = y - (slope*x)
if yint < 0:
sign='-'
else:
sign='+'
result =
str("y="),str(slope),str("x"),sign,str(yint)
return result
print(slope())
I use the input() method to take in the two
points (x,y), (a,b)
then create a variable named “slope” and then immediately
assign it to the formula to find the slope given 2 points (y-b)/(x-a). I then
create a variable yint and assign it to the formula for the y-intercept. The
if-else statement I use to aid with formatting because generally the + (plus
sign) isn't displayed when you get a positive. The final line print(slope())
is there only for when you are running the code in console or idle if you were
to convert this to a python module it won't be needed.
I am
sure there are more elegant and efficient ways of doing this as well as
built-in python methods to make it display much better but that’s the beauty of
python it’s easy to modify and play around with to get desired output style.
Labels:
Algebra,
math and technology,
programming,
Python,
shortcuts
Sunday, June 30, 2013
Standardized thinking.......
Despite efforts
from Washington, math education is still in trouble in the U.S. We are now experiencing the so called “math
wars”. Educators are competing with
policy makers, and mathematicians are challenging both. The argument is that educators are focused on
the mission and purity of education as a whole. Education is the basis for lifelong learning
and free thought. When mathematics is
concerned there is a wedge between mechanical learning and reasoning. University mathematicians believe that
teaching reasoning before standard algorithms is crippling student‘s abilities
to learn the more advanced concepts in college level mathematics. It is argued that before learning mathematical
and numerical reasoning students must understand the standards of math.
The dangers of sticking to a mechanical standard algorithm
approach are flexibility, intellectual growth, and individual ability.
Flexibility refers to having a standard such as right to left based
calculation. This concept alone can prove very confusing especially in younger
students who are still honing their reading skills. In most languages,
specifically English, students are learning to read from left to right. Every
time they are exposed to any form of writing they are taught that it should be
understood from left to right. When children begin learning math they are
taught to read math in contradiction to all the other reading that they learn.
In essence this can cause confusion in both subjects for most students. Not only is the left to right approach quicker
and easier, it also flows logically with the way we are taught to read.
Another issue is that when teachers are grounded with this
single algorithm method, students who understand it differently are often
punished with bad grades. Some teachers
are so set in the standard right to left and carry method, that if a student
chooses to use a different method they are given a bad grade. The stigma put on outside the norm
computation will stunt the students drive and understanding of math. It places
in them the “why am I wrong when I got the same answer?” argument. I had a personal experience with this
receiving a failing grade on a test because on the page where you “show your
work” I did all multiplication from left to right. The teacher of the class I
was in had no clue how that method worked and therefore failed me on my exam “for
cheating”. The reason given was that the only way to multiply is the standard right
to left so the work shown was an attempt to cover up cheating. Now this is a specific individual example that
does not reflect all teachers, but there are still some that are so set in the
standard that “out of box” thinking is “out the window”.
Aside from flexibility, we have the issue of intellectual
growth. Intellectual growth is arguably
the central idea of education. The
ability to think and reason is devastatingly uncommon among many adults and
children. Most educators wish to remedy
this situation, by trying to step outside of the memorize and regurgitate on
the test paradigm. Standardized testing
is standardizing thinking and learning which is destroying innovation and
lifelong learning. While most agree that
some concepts should be tested and retained to be successful in college, the
ways by which we test and use these concepts need to be modified.
The last issue is individual ability. Going back to the
personal example of being labeled a cheater for utilizing a method that was
easiest to me was a stab at my individual abilities. That failure caused me to
have to take a much lower level math class then I should have been in twice. Luckily, the next time around I had a better informed
teacher that removed me from that class put me into pre-calculus instead where
I aced the exams. The point is that no
matter how you try to standardize people, we are all individuals with
individual ability to understand the world around us.
Saturday, June 8, 2013
The Beal Prize
Andrew Beal a self-made billionaire
has announced the prize of one million dollars to the person who can prove the Beal
conjecture. The conjecture is similar to
the famous last theorem of Pierre de Fermat.
Fermat’s last theorem, originally written in 1636 remained unsolved until
1995. The theorem states that no three positive
integers a, b, and c can satisfy the equation (an + bn = cn
), for any
integer value of n>2. The Beal conjecture begins with the
equation A X + B Y = C Z and states that if A,
B, C, X, Y, and Z are all positive integers > 2 then A, B, and C must share
a common factor. The novice to
mathematics might ask the question, what does all of this mean or more
importantly why is this conjecture important?
This conjecture along with its predecessor Fermat’s last theorem is closely
related to Diophantine equations. Diophantine
equations are a special set of equations named for Greek mathematician Diophantus
of Alexandria.
The Diophantine equations all dealt with whole numbers and involved
multiple unknown quantities. The most famous of these equations is the Pythagorean Theorem, which is
a2 +b2= c 2 where a and b are the two legs and
c is the hypotenuse of a right triangle. The Pythagorean equation shows the relationship
of the lengths of all of the sides. The
real world applications of the Pythagorean Theorem are in engineering, architecture,
cartography, and many other areas. Diophantine equations all find their way into
many separate real world applications. The Beal conjecture is no exception the
solution could lead to more applications, than just a simple intellectual
curiosity. Hopefully, this one doesn’t
take 3 centuries to solve as did its predecessor.
The proof of Fermat’s last Theorem was over 100 pages long and took 7
years of isolation for Sir Andrew John Wiles of Britain to complete. Will the
Beal conjecture proof take as long? Now that the Fermat proof, which is closely
related, is floating around, I propose that the solution to the Beal conjecture
is within the Fermat proof or perhaps even an expansion or generalization of that
proof.
Monday, May 13, 2013
Better learning through abstraction..…
There are many
barriers to learning and teaching mathematics, some of which include: anxiety, comprehension, and focus. How do we get past these? First, let’s look at anxiety. Why does the
mere mention of mathematics strike fear and confusion in students? It seems there are so many different causes
of this to look at, that we are unable to pin point a single method to fix the
problem. In fact to find the solution,
we need use the solution. You will say “well that sounds impossible”. If we don’t know the solution, how can we
use the solution to find it? There is a simple answer, abstraction.
I touched upon the
idea of abstraction in Algebra:
the true heart of mathematics. So
rather than just focusing on a solution to all of the different barriers to
learning mathematics, we instead use abstraction to find a general
solution. We can then begin teaching abstraction
rather than just mathematics. If we
find ways to take the classic “math” out of the picture we avoid the instant
fear that many students face. The statement
“Today, class we are going to invent a new dictionary” is much less daunting
than “Today, class we are going to learn algebra”. The first statement will immediately spark a
curiosity. The students will begin asking questions, and wanting to know
more.
What does inventing a new dictionary
have to do with algebra? To answer this,
we first need to think what is algebra?
Algebra is basically a “dictionary” of formulas, theorems, and proofs
which apply to a wide range of problems.
How do these relate to each
other? Let’s look at the commutative
property of addition. In algebra this is “defined” as (a + b = b + a) . To look at this in words rather
than algebraic symbols, you get
Where do we go from here? This seems no different than how algebra is
introduced normally. What I am proposing
is taking the math out of it in the beginning, and then slowly adding the math
in after the concept of abstraction is understood. We ask the students to look at some common
problems they may face in their daily lives.
We will then list out some of the top suggestions. The students will
then be asked to find the commonalities between the problems to group them
together. Then the students are asked to make a name for each of the problem
groups. They can then begin defining the
general solution to those problem types. Keep it simple, only spend about a
week introducing the concept of abstraction with simple problems. After the idea of abstraction seems clear
then you could start adding the Math back into the process. You will begin with
asking the students about math related problems. You could start with something
simple like what is an even number. Many of the students by this point are
familiar with the idea of what an even number is. However, this time you can approach the same
way you approached your dictionary idea. You ask the students to create their
own definition of an even number. Allowing them to create their own mathematical
rules to use empowers them with the ability to not only recognize the steps of
problem solving, but to understand it rather than just memorize it.
Teaching abstraction
leaves a wide open doorway to many different possibilities. The hardest part of
learning math for many students is the daunting amount of formulas and rules to
remember. A student who knows how and why these rules work, and can look at a
problem and devise their own algorithms for solving it, will be way ahead of
the curve when they are faced with solving any problem they encounter. When you
think about it you use this concept every day. As adults we face many different
types of problems, and we solve them by first identifying the problem then abstracting
a set of procedures for solving them. We sometimes have similar problems that
we have solved before, and we encounter new problems that need new solutions. However, being successful in life is dependent
on the solidarity and efficiency of our ability to solve problems. When I say
problems I don’t mean just mathematical, it is the seemingly mundane parts of
life for some and the more perplexing or dire situations we encounter that I call
problems. Abstraction, logic,
deductive and inductive reasoning are so important to a successful life that part
of the curriculum of each grade level should be dedicated to them.
Saturday, February 2, 2013
Analysis of the MegaMIllions lottery
I compiled some data in Excel using the winning numbers data
from 5-17-2002 – 3-23-2012.A few of the charts created using the winning
numbers for the Mega Millions
lottery are found below.
This first chart describes the number of times each number
is drawn for each pick. From the data we see that the number 2 is more likely
to be the first number drawn because it shows up as the first pick more often.
The number of times 2 has appeared first is 75.4% of the total number of times
a 2 has been in the winning numbers.
How many times each numbers is drawn
|
|||||||
first pick
|
second pick
|
third pick
|
fourth pick
|
fifth pick
|
mega ball
|
||
1s
|
82
|
0
|
0
|
0
|
0
|
19
|
|
2's
|
92
|
9
|
0
|
0
|
0
|
21
|
|
3s
|
78
|
7
|
1
|
0
|
0
|
27
|
|
4's
|
70
|
23
|
1
|
0
|
0
|
24
|
|
5's
|
68
|
22
|
3
|
1
|
0
|
18
|
|
6's
|
61
|
21
|
3
|
0
|
0
|
22
|
|
7's
|
63
|
24
|
6
|
1
|
0
|
28
|
|
8's
|
53
|
27
|
4
|
0
|
0
|
22
|
|
9's
|
52
|
36
|
6
|
0
|
0
|
27
|
|
10's
|
50
|
46
|
13
|
0
|
0
|
27
|
|
11's
|
39
|
32
|
10
|
3
|
0
|
17
|
|
12's
|
35
|
44
|
16
|
2
|
0
|
21
|
|
13's
|
27
|
49
|
15
|
2
|
0
|
27
|
|
14's
|
46
|
40
|
19
|
2
|
1
|
16
|
|
15's
|
24
|
39
|
19
|
4
|
0
|
23
|
|
16's
|
32
|
42
|
16
|
10
|
0
|
15
|
|
17's
|
17
|
50
|
30
|
3
|
0
|
17
|
|
18's
|
23
|
40
|
27
|
10
|
1
|
21
|
|
19's
|
12
|
38
|
30
|
11
|
0
|
22
|
|
20's
|
13
|
40
|
38
|
7
|
1
|
24
|
|
21's
|
10
|
33
|
35
|
13
|
2
|
30
|
|
22's
|
14
|
34
|
32
|
13
|
4
|
25
|
|
23's
|
9
|
27
|
30
|
12
|
2
|
18
|
|
24's
|
14
|
32
|
36
|
10
|
3
|
23
|
|
25's
|
10
|
33
|
29
|
19
|
4
|
20
|
|
26's
|
5
|
25
|
39
|
19
|
2
|
22
|
|
27's
|
9
|
25
|
42
|
16
|
7
|
20
|
|
28's
|
5
|
20
|
35
|
34
|
5
|
9
|
|
29's
|
4
|
26
|
33
|
30
|
7
|
25
|
|
30's
|
2
|
23
|
27
|
29
|
8
|
21
|
|
31's
|
2
|
25
|
40
|
29
|
12
|
21
|
|
32's
|
1
|
19
|
34
|
35
|
10
|
15
|
|
33's
|
1
|
11
|
25
|
29
|
13
|
23
|
|
34's
|
0
|
8
|
31
|
29
|
11
|
26
|
|
35's
|
1
|
12
|
30
|
29
|
16
|
28
|
|
36's
|
1
|
10
|
25
|
41
|
21
|
32
|
|
37's
|
1
|
5
|
33
|
37
|
7
|
17
|
|
38's
|
1
|
6
|
25
|
40
|
22
|
25
|
|
39's
|
1
|
7
|
30
|
46
|
23
|
18
|
|
40's
|
0
|
5
|
19
|
45
|
23
|
20
|
|
41's
|
0
|
3
|
20
|
28
|
26
|
19
|
|
42's
|
0
|
3
|
18
|
43
|
29
|
23
|
|
43's
|
0
|
4
|
22
|
27
|
31
|
20
|
|
44's
|
0
|
1
|
18
|
32
|
42
|
21
|
|
45's
|
0
|
1
|
19
|
38
|
37
|
19
|
|
46's
|
0
|
1
|
11
|
44
|
47
|
17
|
|
47's
|
0
|
0
|
7
|
35
|
40
|
7
|
|
48's
|
0
|
0
|
12
|
41
|
55
|
4
|
|
49's
|
0
|
0
|
3
|
33
|
54
|
7
|
|
50's
|
0
|
0
|
2
|
25
|
74
|
4
|
|
51's
|
0
|
0
|
4
|
26
|
81
|
1
|
|
52's
|
0
|
0
|
2
|
17
|
89
|
10
|
|
53's
|
0
|
0
|
2
|
16
|
56
|
0
|
|
54's
|
0
|
0
|
1
|
8
|
50
|
0
|
|
55's
|
0
|
0
|
0
|
4
|
49
|
0
|
|
56's
|
0
|
0
|
0
|
0
|
63
|
0
|
In this next chart I have laid out the average, mode,
median, harmonic mean and other analysis of the number distributions across all
of the different picks.
first pick
|
second pick
|
third pick
|
fourth pick
|
fifth pick
|
mega ball
|
|
median all
|
7.5
|
18
|
28
|
38
|
49
|
24
|
Average all
|
9.278210117
|
18.6624514
|
28.3015564
|
37.42607
|
46.4542802
|
23.990272
|
mode all
|
2
|
17
|
27
|
39
|
52
|
36
|
standard deviation
|
7.137233978
|
9.10326996
|
10.2470703
|
9.59011029
|
7.6711884
|
13.842004
|
Geometric mean
|
6.565968069
|
16.139646
|
26.1471469
|
35.9559721
|
45.6978254
|
18.277583
|
Harmonic mean
|
4.207752217
|
13.1495089
|
23.5028125
|
34.0860285
|
44.7726832
|
10.698143
|
Mean - stddev
|
2.140976139
|
9.5591814
|
18.0544862
|
27.8359598
|
38.7830918
|
10.148268
|
Mean + stddev
|
14.63723398
|
27.10327
|
38.2470703
|
47.5901103
|
56.6711884
|
37.842004
|
avg mean+-stddev
|
8.389105058
|
18.3312257
|
28.1507782
|
37.713035
|
47.7271401
|
23.995136
|
This final chart is all of the data above rounded to the
nearest whole number.
first pick
|
second pick
|
third pick
|
fourth pick
|
fifth pick
|
mega ball
|
8
|
18
|
28
|
38
|
49
|
24
|
9
|
19
|
28
|
37
|
46
|
24
|
2
|
17
|
27
|
39
|
52
|
36
|
7
|
9
|
10
|
10
|
8
|
14
|
7
|
16
|
26
|
36
|
46
|
18
|
4
|
13
|
24
|
34
|
45
|
11
|
2
|
10
|
18
|
28
|
39
|
10
|
15
|
27
|
38
|
48
|
57
|
38
|
8
|
18
|
28
|
38
|
48
|
24
|
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