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As n increases, the distribution becomes more normal per the central limit theorem.

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Q: Why does a binomial distribution become more skewed as n increases?
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What is difference between skew binomial and symmetric binomial distribution?

In a symmetric binomial distribution, the probabilities of success and failure are equal, resulting in a symmetric shape of the distribution. In a skewed binomial distribution, the probabilities of success and failure are not equal, leading to an asymmetric shape where the distribution is stretched towards one side.


Is binomial probability distribution always negatively skewed?

No. It depends on the probability of success, p. If p < 0.5 the distribution is positively skewed.No. It depends on the probability of success, p. If p < 0.5 the distribution is positively skewed.No. It depends on the probability of success, p. If p < 0.5 the distribution is positively skewed.No. It depends on the probability of success, p. If p < 0.5 the distribution is positively skewed.


When is data negatively or positively skewed?

i) Since Mean&lt;Median the distribution is negatively skewed ii) Since Mean&gt;Median the distribution is positively skewed iii) Median&gt;Mode the distribution is positively skewed iv) Median&lt;Mode the distribution is negatively skewed


When a population distribution is right skewed is the sampling distribution normal?

No, as you said it is right skewed.


Who invented skewed distribution?

Nobody invented skewed distributions! There are more distributions that are skewed than are symmetrical, and they were discovered as various distribution functions were discovered.


Is a normal distribution a skewed?

No.


Can a normal distribution curve be symmetric or left-skewed or right-skewed?

Symmetric


What is a positively skewed distribution?

A positively skewed or right skewed distribution means that the mean of the data falls to the right of the median. Picturewise, most of the frequency would occur to the left of the graph.


What if the mean is greater than the median?

In the majority of Empirical cases the mean will not be equal to the median, so the event is hardly unusual. If the mean is greater, then the distribution is poitivelt skewed (skewed to the right).


Is considerably skewed distribution the same as bimodal distribution?

No. A distribution may be non-skewed and bimodal or skewed and bimodal. Bimodal means that the distribution has two modes, or two local maxima on the curve. Visually, one can see two peaks on the distribution curve. Mixture problems (combination of two random variables with different modes) can produce bimodal curves. See: http://en.wikipedia.org/wiki/Bimodal_distribution A distribution is skewed when the mean and median are different values. A distribution is negatively skewed when the mean is less than the median and positively skewed if the mean is greater than the median. See: http://en.wikipedia.org/wiki/Skewness


What is a skewed right?

A distribution or set of observations is said to be skewed right or positively skewed if it has a longer &quot;tail&quot; of numbers on the right. The mass of the distribution is more towards the left of the figure rather than the middle.


What is skewed left?

A distribution or set of observations is said to be skewed left or negatively skewed if it has a longer "tail" of numbers on the left. The mass of the distribution is more towards the right of the figure rather than the middle.