Probability

=Probability is used in many ways.==For example:==* gambling==*bettting odds==and anywhere in the world!=

There are 2^5 (2*2*2*2*2), or 32, possible outcomes of tossing a coin 5 times. Only one of those outcomes does not contain any tails. This leaves us with 31/32, or 97% chance of at least one toss coming up tails.

Very likely. All you have to do is sell some pot to the bank.

The probability is 0 (but the daughter will be a carrier of the color blind gene).

This is because the gene dictating whether someone is color blind or not is linked to the X chromosome (and not the Y). The color blind gene is a recessive gene whilst the normal color vision gene is a dominant gene. Hence if a girl (XX) has one normal vision gene (from one parent) and one color blind gene (from the other parent), her normal vision gene will be dominant to the recessive color blind gene and hence she will have normal vision (but she will be a carrier of the color blind gene). If both her parents contribute the recessive color blind gene to her, then she will be color blind.

For a woman (XX) to be color blind, she needs to be have both genes to be recessive (ie where there is no dominant normal color vision gene to dominate). For a man (XY), as long as the X gene contributed by his mother is a color blind gene, he will be color blind because he has no other X chromosome where a dominant normal color gene could reside.

Hence, to answer the question, a man with normal color vision (XY, with a dominant normal color vision X gene since the gene can't be the recessive color blind gene otherwise he will be colorblind) and a colorblind woman (XX, both recessive color blind genes), will each contribute an X each the child. The man will contribute his only X chromosome which carries the normal color vision X gene and the woman can only contribute a recessive color blind gene. The man's normal color vision X gene will be dominant, and hence the daughter will definitely have normal vision (despite being a carrier).

I don't know that's why am asking ! Doy

well that is sooooooooooooooooooooooooooo easy there is 30+1,29+2,28+3,and all sorts more.if you want multiplacation,division,addition,subtraction and all that good stuff.your welcome

The probability is 1/21/21/2*1/2=1/16, or 0.0625 or 6.25%

Looking at the total possibilities, you have eight different outcomes:

TTT

TTH

THH

HHH

HHT

HTT

HTH

THT

Counting your two heads, one tails, you get a total of 3 possibilities out of 8, or 3/7

The Fibonacci numbers is a series of numbers that are found in nature and other things. The series goes 0,1,1,2,3,5,8,13,21 and so on. You just add the last two numbers in the series. 0+1=1, 1+1=2, 2+1=3, and so on.

Event organisers are responsible for the production of events from conception through to completion. They work in the public, private and not-for-profit sectors and can work for event management companies, in-house for an organisation or freelance. The role of event organiser is hands-on and often involves working as part of a team. Event organisers must be able to complete a wide range of activities requiring clear communication, excellent organisational skills and attention to detail. They must work well under pressure, ensuring the smooth and efficient running of an event. The role of event organiser varies depending on the organisation and type of event involved. Typical activities include:

§ researching markets to identify opportunities for events

§ liaising with clients to ascertain their precise event requirements

§ producing detailed proposals for events (e.g. timelines, venues, suppliers, legal obligations, staffing and budgets)

§ agreeing to and managing a budget

§ securing and booking a suitable venue or location

§ ensuring insurance, legal, health and safety obligations are adhered to

§ coordinating venue management, caterers, stand designers, contractors and equipment hire

§ organising facilities for car parking, traffic control, security, first aid, hospitality and the media

§ identifying and securing speakers or special guests

§ planning room layouts and the entertainment programme, scheduling workshops and demonstrations

§ coordinating staffing requirements and staff briefings

§ selling sponsorship/stand/exhibition space to potential exhibitors/partners

§ preparing delegate packs and papers

§ liaising with marketing and PR colleagues to promote the event

§ liaising with clients and designers to create a brand for the event and organising the production of tickets, posters, catalogues and sales brochures

§ coordinating suppliers, handling client queries and troubleshooting on the day of the event to ensure that all runs smoothly

§ overseeing the dismantling and removal of the event and clearing the venue efficiently

§ post-event evaluation (including data entry and analysis and producing reports for event stakeholders)

because it is the simplest sampling technique which requires less time and cost.

Probability

well, it will have 6 times of the greater chance.

The letter p, in lower case.

I will give first the non-mathematical definition as given by Triola in Elementary Statistics: A random variable is a variable typicaly represented by x that has a a single numerical value, determined by chance for each outcome of a procedure. A probability distribution is a graph, table or formula that gives the probabability for each value of the random variable. A mathematical definition given by DeGroot in "Probability and Statistics" A real valued function that is defined in space S is called a random variable. For each random variable X and each set A of real numbers, we could calculate the probabilities. The collection of all of these probabilities is the distribution of X. Triola gets accross the idea of a collection as a table, graph or formula. Further to the definition is the types of distributions- discrete or continuous. Some well know distribution are the normal distribution, exponential, binomial, uniform, triangular and Poisson.

I will rephrase your question, as to "What relationship does queueing theory and probability therory?" Queueing theory is the mathematical study of waiting lines See: http://en.wikipedia.org/wiki/Queueing_theory Wait times, by their nature, are uncertain but can be represented by probability distributions. From a distribution, I may be able to tell that the chance of waiting more than 5 minutes for service is 10%, or that there is a 95% chance that my complete time in a facility (service time and wait time) is less than 15 minutes. On the other side, queueing theory may determine how often those responsible for service have no customers. The theory has broad applications, ranging from computer networks, telephony systems, delivery of goods and services (such as mail, home repair, etc) to an area and customer service in any location where people might stand in line. Traffic analysis uses queueing theory extensively. The "forward" analyses begins with an assumed probability distribution. Given probability distributions that are thought to describe certain activities (number of customers arriving in a particular time span, time spent with each customer and special events -frequency of events and time spent on special events), the distribution of waiting times can be determined mathematically. Thus, probability theory provides the basis (distribution and mathematical theory) for queueing applications. Today, more complex queueing problems are solved by Monte-Carlo simulation, which after thousands (or hundreds of thousands) of repeated runs, can provide nearly the same accuracy of statistics and distributions as those generated from purely mathematical solution. More broadly, queueing modeling and theoretical solutions are within stochastic process analysis.

the question asks probability of at least one gun hitting the target.

= 1 - no gun hitting the target

= 1 - (1/10) x (3/10)

= 97/100 or 97 %

Definition OC Curves or Operating Characteristic Curves refer to a graph of attributes of a sampling plan considered during management of a project which depicts the percent of lots or batches which are expected to be acceptable under the specified sampling plan and for a specified process quality. The specified sampling plan may be singular, sequential or iterative and may be using a particular size of a sample depending upon the demands of the project and could yield the results of acceptance or rejection based on a specified criteria. It helps in the selection of sampling plans It aids in the selection of plans that are effective in reducing risks. It can help in keeping the high cost of inspection low. There are two ways of calculating the OC curves. Binomial Distribution Poisson Formula Type A - Gives the probability of acceptance for an individual lot coming from finite production. Type B - Gives the probability of acceptance for lots coming from a continuous process. Type C - Gives the long-run percentage of product accepted during the sampling phase.

It depends on what you mean, but here is a basic description of how it works. Payouts in gambling games are based on the probability of winning, but the payout is less than the true probability of winning. Just as a basic example, the odds of rolling a 12 in the game Craps is 1 in 36, but if bet on the 12 and win, you only win 30 times the amount bet. So basically, you would have to make a $1 bet 36 times to win $30.

As U KNOW THERE ARE 13 CARDS OF HEART IN A DECK AND THERE IS A TOTAL OF 52 CARDS . sO EVERYTIME U TAKE A HEART IT AFFECTS THE TOTAL NO OF CARDS . so THE ANSWER WOULD BE (13*12*11*10*9*8)/(52*51*50*49*48) = 8.42890. app.

I tried my best to explian sorry about the mistakes and i hope it would have helped u

The chances of drowning in a bath tub depend on several things, most obvious of which would be your level of fatigue and/or the water level of a drawn bath - If said person is tired and fall asleep, they may eventually slide under the water level, although, in turn, this would wake said person, and through instinct they would rise above the water. Unless someone was fully unconcious, it isn't likely that someone could drown.

Theoretical significance means something could be considered significant if a theory is true. This term is most often used when discussing ideas from a historical perspective.

It depends on the machine, but hitting the multi-million dollar progressive jackpot on the Megabucks machine is almost 50 million to one. In comparison, picking 6 out of 49 numbers in the lottery is about 14 million to one.

Probability theory is the field of mathematics that enables statistical inferences to be made. All equations used in statistical inferences must be based on mathematics (theorems and proofs) of probability theory. An example to illustrate this. Given a normal probability curve with a mean = 0 and variance of 1, 68% of the area under the curve is in the range of -1 to 1, as calculated from probability theory. Since it is proved by mathematics, we can state it as a fact. If we collect data, and the average of the data is zero, and the standard deviation is 1, then we can infer that we are 68% certain that the population mean lies between -1 to 1. Our conclusion is inferred based on our limited and imperfect sample and the assumption that our population is normally distributed.

Well a Head Louse doesn't get very big about 3 Millimeters