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This module defines symbols used throughout the Collaborative Statistics textbook.
Symbols and their meanings
Chapter (1st used) Symbol Spoken Meaning
Sampling and Data The square root of same
Sampling and Data π Pi 3.14159… (a specific number)
Descriptive Statistics Q1 Quartile one the first quartile
Descriptive Statistics Q2 Quartile two the second quartile
Descriptive Statistics Q3 Quartile three the third quartile
Descriptive Statistics IQR inter-quartile range Q3-Q1=IQR
Descriptive Statistics x ¯ x-bar sample mean
Descriptive Statistics μ mu population mean
Descriptive Statistics s s x sx s sample standard deviation
Descriptive Statistics s 2 s x 2 s-squared sample variance
Descriptive Statistics σ σ x σx sigma population standard deviation
Descriptive Statistics σ 2 σ x 2 sigma-squared population variance
Descriptive Statistics Σ capital sigma sum
Probability Topics { } brackets set notation
Probability Topics S S sample space
Probability Topics A Event A event A
Probability Topics P ( A ) probability of A probability of A occurring
Probability Topics P ( A B ) probability of A given B prob. of A occurring given B has occurred
Probability Topics P ( A or B ) prob. of A or B prob. of A or B or both occurring
Probability Topics P ( A and B ) prob. of A and B prob. of both A and B occurring (same time)
Probability Topics A' A-prime, complement of A complement of A, not A
Probability Topics P ( A' ) prob. of complement of A same
Probability Topics G 1 green on first pick same
Probability Topics P ( G 1 ) prob. of green on first pick same
Discrete Random Variables PDF prob. distribution function same
Discrete Random Variables X X the random variable X
Discrete Random Variables X~ the distribution of X same
Discrete Random Variables B binomial distribution same
Discrete Random Variables G geometric distribution same
Discrete Random Variables H hypergeometric dist. same
Discrete Random Variables P Poisson dist. same
Discrete Random Variables λ Lambda average of Poisson distribution
Discrete Random Variables greater than or equal to same
Discrete Random Variables less than or equal to same
Discrete Random Variables = equal to same
Discrete Random Variables not equal to same
Continuous Random Variables f ( x ) f of x function of x
Continuous Random Variables pdf prob. density function same
Continuous Random Variables U uniform distribution same
Continuous Random Variables Exp exponential distribution same
Continuous Random Variables k k critical value
Continuous Random Variables f ( x ) = f of x equals same
Continuous Random Variables m m decay rate (for exp. dist.)
The Normal Distribution N size 12{N} {} normal distribution same
The Normal Distribution z size 12{z} {} z-score same
The Normal Distribution Z size 12{Z} {} standard normal dist. same
The Central Limit Theorem CLT size 12{ ital "CLT"} {} Central Limit Theorem same
The Central Limit Theorem X X-bar the random variable X-bar
The Central Limit Theorem μ x size 12{μ rSub { size 8{x} } } {} mean of X the average of X
The Central Limit Theorem μ x ¯ size 12{μ rSub { size 8{ {overline {x}} } } } {} mean of X-bar the average of X-bar
The Central Limit Theorem σ x size 12{σ rSub { size 8{x} } } {} standard deviation of X same
The Central Limit Theorem σ x ¯ size 12{σ rSub { size 8{ {overline {x}} } } } {} standard deviation of X-bar same
The Central Limit Theorem Σ X sum of X same
The Central Limit Theorem Σ x sum of x same
Confidence Intervals CL size 12{ ital "CL"} {} confidence level same
Confidence Intervals CI size 12{ ital "CI"} {} confidence interval same
Confidence Intervals EBM size 12{ ital "EBM"} {} error bound for a mean same
Confidence Intervals EBP size 12{ ital "EBP"} {} error bound for a proportion same
Confidence Intervals t size 12{t} {} student-t distribution same
Confidence Intervals df size 12{ ital "df"} {} degrees of freedom same
Confidence Intervals t α 2 student-t with a/2 area in right tail same
Confidence Intervals p' p ^ p-prime; p-hat sample proportion of success
Confidence Intervals q' q ^ q-prime; q-hat sample proportion of failure
Hypothesis Testing H 0 size 12{H rSub { size 8{0} } } {} H-naught, H-sub 0 null hypothesis
Hypothesis Testing H a size 12{H rSub { size 8{a} } } {} H-a, H-sub a alternate hypothesis
Hypothesis Testing H 1 size 12{H rSub { size 8{1} } } {} H-1, H-sub 1 alternate hypothesis
Hypothesis Testing α size 12{α} {} alpha probability of Type I error
Hypothesis Testing β size 12{β} {} beta probability of Type II error
Hypothesis Testing X1 ¯ X2 ¯ size 12{ {overline {X1}} - {overline {X2}} } {} X1-bar minus X2-bar difference in sample means
μ 1 μ 2 size 12{μ rSub { size 8{1} } - μ rSub { size 8{2} } } {} mu-1 minus mu-2 difference in population means
P ' 1 P ' 2 size 12{P' rSub { size 8{1} } - P' rSub { size 8{2} } } {} P1-prime minus P2-prime difference in sample proportions
p 1 p 2 size 12{p rSub { size 8{1} } - p rSub { size 8{2} } } {} p1 minus p2 difference in population proportions
Chi-Square Distribution Χ 2 Ky-square Chi-square
O Observed Observed frequency
E Expected Expected frequency
Linear Regression and Correlation y = a + bx y equals a plus b-x equation of a line
y ^ y-hat estimated value of y
r correlation coefficient same
ε error same
SSE Sum of Squared Errors same
1.9 s 1.9 times s cut-off value for outliers
F-Distribution and ANOVA F F-ratio F ratio

Questions & Answers

Introduction about quantum dots in nanotechnology
Praveena Reply
what does nano mean?
Anassong Reply
nano basically means 10^(-9). nanometer is a unit to measure length.
Bharti
do you think it's worthwhile in the long term to study the effects and possibilities of nanotechnology on viral treatment?
Damian Reply
absolutely yes
Daniel
how to know photocatalytic properties of tio2 nanoparticles...what to do now
Akash Reply
it is a goid question and i want to know the answer as well
Maciej
characteristics of micro business
Abigail
for teaching engĺish at school how nano technology help us
Anassong
Do somebody tell me a best nano engineering book for beginners?
s. Reply
there is no specific books for beginners but there is book called principle of nanotechnology
NANO
what is fullerene does it is used to make bukky balls
Devang Reply
are you nano engineer ?
s.
fullerene is a bucky ball aka Carbon 60 molecule. It was name by the architect Fuller. He design the geodesic dome. it resembles a soccer ball.
Tarell
what is the actual application of fullerenes nowadays?
Damian
That is a great question Damian. best way to answer that question is to Google it. there are hundreds of applications for buck minister fullerenes, from medical to aerospace. you can also find plenty of research papers that will give you great detail on the potential applications of fullerenes.
Tarell
what is the Synthesis, properties,and applications of carbon nano chemistry
Abhijith Reply
Mostly, they use nano carbon for electronics and for materials to be strengthened.
Virgil
is Bucky paper clear?
CYNTHIA
carbon nanotubes has various application in fuel cells membrane, current research on cancer drug,and in electronics MEMS and NEMS etc
NANO
so some one know about replacing silicon atom with phosphorous in semiconductors device?
s. Reply
Yeah, it is a pain to say the least. You basically have to heat the substarte up to around 1000 degrees celcius then pass phosphene gas over top of it, which is explosive and toxic by the way, under very low pressure.
Harper
Do you know which machine is used to that process?
s.
how to fabricate graphene ink ?
SUYASH Reply
for screen printed electrodes ?
SUYASH
What is lattice structure?
s. Reply
of graphene you mean?
Ebrahim
or in general
Ebrahim
in general
s.
Graphene has a hexagonal structure
tahir
On having this app for quite a bit time, Haven't realised there's a chat room in it.
Cied
what is biological synthesis of nanoparticles
Sanket Reply
what's the easiest and fastest way to the synthesize AgNP?
Damian Reply
China
Cied
types of nano material
abeetha Reply
I start with an easy one. carbon nanotubes woven into a long filament like a string
Porter
many many of nanotubes
Porter
what is the k.e before it land
Yasmin
what is the function of carbon nanotubes?
Cesar
I'm interested in nanotube
Uday
what is nanomaterials​ and their applications of sensors.
Ramkumar Reply
what is nano technology
Sravani Reply
what is system testing?
AMJAD
how did you get the value of 2000N.What calculations are needed to arrive at it
Smarajit Reply
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Source:  OpenStax, Elementary statistics. OpenStax CNX. Dec 30, 2013 Download for free at http://cnx.org/content/col10966/1.4
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