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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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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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In Probability

Answer This is called a random sample.

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A sample of a population that is based on factors other than randomness.

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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 Science

sample n equals 37 sorry and if you could write the equation that would be helpful

When it comes to basic facts, what you don't know can hurt you, or at the very least surprise you.… (MORE)

Dave Core

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As the saying goes, you can't teach an old dog new tricks. Some tricks, however, are so simple that even an old dog or new puppy can learn them. Just practice any of the follo…wing a few times a day with your dog. (MORE)