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In Probability

I believe you mean to say, equally probable. By stating they are separate events, I assume that they are independent and that there is a single unique outcome to each ev…ent that can be identified. Ok, then the chance of each event or outcome is 1/10. (MORE)

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In Probability

Answer This is called a random sample.

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In Probability

Probability tells you the chance that something will happen. For example: There are 3 red tiles, 5 green tiles and 2 pink tiles in a bag. What is the probability of picking a …red tile? First you find out how many red tiles there are. There are 3 red tiles. Then, you add up all the tiles. Altogether there are 10 tiles. So, there is a 3/10 probability that you will pick a red tile. (MORE)

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Advantages and disadvantages of probability sampling: Advantages: Since it is done at random, the whole process is unbiased. This is good to use in smaller populations, of c…ourse it doesn't 100% protect from bias (depending on the question). But this option is a quicker way of achieving information. Disadvantages: As i said before, depending on your question it cannot prevent from bias. Also, if you are sampling information from a large population this will take too much time and patience. There is also no guarantee that what these people say, represents what another group of people believe. Non-probability sampling: Advantages: This is more accurate because you are targeting a specific group, therefore your answers will be similar to what the rest of the population (of this group) will answer. Disadvantages: This is more biased, because the individuals chosen are not at random. They also might not represent what another population thinks (MORE)

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11 * * * * * No, on two counts. The sample space is the possible outcomes of the experiment, not the NUMBER of possible outcomes. And, as far as this experiment is concerned,… there is no way to distinguish between the two occurrences of b and i. So there are, in fact, only 9 possible outcomes. Two of these outcomes have a higher probability but that is a different matter. The sample space is {p, r , o , b, a, i, l, t, y} a set of cardinality 9. (MORE)

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The probability of you understanding this answer is slim... does that help?? That is how you use it in a sentance. ** Jeez, that's mean, and OP, check out people who h…ave the same exact question as you on here.. "What is probability" rather than how. (MORE)

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In Probability

The short answer is "random sample," but that, unfortunately, is neither specific nor complete. It is not specific because there are forms of random sampling where selection p…robabilities are not constant. It is not complete because there are many different ways to conduct random sampling with equal selection probabilities. "Simple random sampling" occurs when you can perform a process that, for all practical purposes, behaves like writing down the identifier of each population member on a piece of paper, putting all the pieces into a box, mixing them thoroughly, and pulling out a few of them one by one (without replacing them in the box). Nowadays we use a computer to do this job, because it's faster and more reliable (it is notoriously difficult to mix pieces of paper perfectly randomly). The computer needs a complete list of all the population members: this is called a sampling frame. Here is an example of random sampling that is not simple but still selects every population member with equal probability. Suppose you want to sample half the students in a classroom of 30. Ask them to line up. Flip a fair coin: if it's heads, pick the first, third, ..., 29th in line. If tails, pick the second, fourth, ..., 30th. Any individual student has a 50% chance of being part of the sample, so each student has an equal probability of being included. However, if you lined up the students boy-girl-boy-girl, etc., the samples themselves wouldn't look very random: they will either be mostly boys or mostly girls. It's still random though, because it's determined by the flip of a coin. The example highlights a subtle but important property of a random sample: in many cases, you want the selection of population members to be independent. This means the probability of selecting one member is not affected by which other members are selected. In simple random sampling, independence holds; in the second example (a form of gridded sampling), there is complete dependence: no student can be chosen along with either of their neighbors in line, for instance. Simple random sampling is ideal for many purposes but often cannot be carried out in practice because it is not feasible (you might not be able to construct a sampling frame) or costs too much. Often, more complicated procedures, such as hierarchical sampling, are carried out to overcome these limitations. (An example of hierarchical sampling is when an epidemiologist selects a city at random, then selects households at random within the city, then selects children at random within each household to study. Doing it this way can require much less travel than selecting children at random from all over the state.) These procedures might or might not select population members with equal probability. Usually the selection is not independent, either. When the probabilities are unequal, they can be figured out and used as weights in statistical analysis of the data. Results can also be adjusted for lack of independence. A good, readable, non-technical introduction to sampling and simple random samples is the textbook Statistics by Freedman, Pisani, and Purves. Any edition is fine. Steven Thompson's book Sampling discusses dozens of different sampling procedures and explains the theory behind each one. (MORE)

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In Probability

A probability sampling method is any method of sampling that utilizes some form of random selection. See: http://www.socialresearchmethods.net/kb/sampprob.php … The simple random sample is an assumption when the chi-square distribution is used as the sampling distribution of the calculated variance (s^2). The second assumption is that the particular variable is normally distributed. It may not be in the sample, but it is assumed that the variable is normally distributed in the population. For a very good discussion of the chi-square test, see: http://en.wikipedia.org/wiki/Pearson%27s_chi-square_test (MORE)

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In Definitions

A sample is a small part of anything or one of a number, intended to show the quality, style, or nature of the whole; specimen.

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In Technology

success p=40%=40/100=0.40 so therefore, (failure) q=1-0.40=0.60 n=15 Formula: P(x=x)= n!/x!(n-x)! p^x q^n-x P(x=3)=15!/3!(15-3)! 0.40^3 q^15-3 = 0.0634 or 63% (0.0634/10…0=63%) (MORE)

After releasing her track "XO," BeyoncĂ© discovered that even she is not safe from media backlash. In the beginning of the song a six-second audio sample from the Space Shuttl…e Challenger tragedy plays, much to the shock of fans and non-fans alike. Although BeyoncĂ© stated that the sample inclusion is a tribute, families of Challenger victims and NASA responded negatively to the sound clip.Kanye West generated controversy when he released the track "Blood on the Leaves." In the song, Kanye sampled Nina Simon's rendition of Billie Holiday's "Strange Fruit," causing uproar over West's disregard for the original song's meaning. Since "Strange Fruit" played such an important role in the civil rights movement, the intended party-anthem value of the melody felt lost on many listeners.In 2004, Danger Mouse released a mash-up CD called "The Grey Album." It successfully meshed the sounds of rap artist Jay-Z and British music legends The Beatles. Unfortunately for Danger Mouse, the official record label for The Beatles, EMI, launched an attack over their illegal use of the sampled music. The battle went down in history as one of the most influential cases against track sampling.The 1990 Pete Rock and C.L. Smooth tune "They Reminisce Over You (T.R.O.Y.)" came to fruition when Rock and Smooth lost their friend Troy. Rightfully, Rock went on the offensive when Lupe Fiasco sampled their song in his 2012 track "Around My Way (Freedom Ain't Free)." Pete Rock called Lupe Fiasco out on his use of the track, reasoning that artists should never sample tribute tracks.Cults made waves with their track "Go Outside," which featured uncomfortable sound clips of Jim Jones. As the former leader of a deadly cult, Jones played a major role in the death of over 900 people through his church, People's Temple. Although survivors of the incident approved of Cults' using audio samples of Jones, fans reacted negatively over the eerie sound clips.Crafted by DJ Baauer, the "Harlem Shake" went viral with fans creating short but comedic dance videos to go with the music. Despite claiming that he found random samples on the Internet, Baauer found trouble for using clips from Hector Delgado's tune "Maldades" and Jayson Musson's song "Miller Time." Fortunately, his label Mad Decent worked through negotiations for the use of the samples.German rapper Sabrina Setlur came under fire for using sampled music in her 1997 single "Nur Mir," which translates to "Only Me." Her producers sampled work from the popular Kraftwerk techno-pop track "Metal on Metal," which prompted a 12-year lawsuit. The battle resulted in a controversial ruling stating musicians cannot legally use samples if they are able to reproduce the sounds themselves.While sampling audio is often flattery, it might also leave artists in hot water when done without the proper permission. As music continues to evolve, compositions from the past and present will surely continue to find their way into fresh tracks.Many believe that hip-hop is the origination of music sampling. Although artists collaborated on music before the 1970s, hip-hop artists took sampling to another level by pulling from the styles of 1970s DJs who manipulated vinyl with turntables. (MORE)

In the simplest language, probability theory is the mathematical study of how likely it is that a random event will occur. For example, imagine that you shuffled four cards co…ntaining different images (a square, a circle, a triangle, and a rectangle). In this case, the probability of you choosing a square - or any one of the symbols - is one in four. Although most academic theories may not be applicable beyond their particular field, probability has broad applications beyond your standard math class. However, for people who don't possess a mind for mathematics, probability can seem daunting. Here is an introduction to probability theory for students of all talents:At a basic level, probability theory posits that, while the outcome of random events can't be predicted, they can be narrowed down to a certain amount of possibilities using a mathematical equation. In these cases, random events are considered to be events that you can't control or predict. The flipping of a coin, for example, is an act that a person has control over, but he or she can't control which side will land facing up.Depending on how far you go into studying probability, it can get pretty complicated. Fundamentally, however, it is merely a matter of distribution. Picture a standard die in your head: a white square with six sides, numbers one through six distributed along the sides. When you roll that die, there is a one in six chance that the die will land on the number you've predicted beforehand - this is probability theory at work.In order to determine the probability of a possible outcome, scientists and mathematicians may conduct an experiment, gathering data from a series of trials that take place over a pre-determined span of time. It is important to note that in terms of classical probability, there is no need to actually conduct experiments to arrive at a probability. This is because, theoretically, you should already have all the data you need to arrive at your conclusion. For example, if you have a deck of cards, you know that your chances of drawing a particular card will be one in 52. In this case, determining the probability is simply a matter of using the proper equation.As it is described here, probability looks pretty simple, but it can actually get very complex. Moreover, its use is not limited to math majors. Engineers designing or redesigning a bridge, for example, need to know the probability of a line of traffic coming to a full stop on both sides of the bridge for an extended period of time. This is significant because it relates directly to the structure's ability to bear the weight of the cars.In these cases, classical probability won't be effective, because you would have no control over the frequency of the cars, which means that you would have to conduct an experiment to arrive at the probability. This could be something as simple as recording traffic patterns for a period of time and applying the proper equation to find the probability of traffic coming to a standstill. (MORE)