when can the normal distribution be used as an approximation to the binomial distribution?

When can the normal distribution be used as an approximation to the binomial distribution? => n . p = 5, n . q = 5 or n . p ≤ 5, n . q ≤ 5 or n . p > 5, n . q < 5 or n . p ≥ 5, n . q ≥ 5..

Say whether the normal distribution can be used as an approximation to the binomial distribution shown here. n = 20 and p = 0.8 => false or true or cannot be determined...

Introduction - Suppose the two events are not independent, that is the occurrence of one depends on the occurrence of other, then how do we compute This can be explained by conditional probability. Baye's theorem is named after the British mathematician Thomas Bayes who published it in a research p..

Poisson Distribution - Poisson distribution is a limiting process of binomial distribution. Poisson distribution occurs when there are events which do not occur as outcomes of a definite number of outcomes. Poisson distribution is use..

What percentage of area (approximately) under the normal distribution curve lies between a standard deviation of 1 and 2? => 15% or 13% or 27% or 30%..

The average price of a computer is $750. If prices of computers are approximately normally distributed with a standard deviation of $75, then what is the probability that a randomly selected computer costs more than $1000? => 3.3% or 0.33% or 0.04% or 0.4%..

The lifetime of certain kinds of electronic devices have a mean of 350 hours and a standard deviation of 20 hours. The distribution is measured to the nearest hour and can be approximated closely to a normal curve. Find the probability that any one of these devices wil..

The local authorities in a certain city install 1600 electric lamps in the streets of the city. If the lamps have a mean life rate of 1000 burning hours, with a standard deviation of 150 hours, approximately what number of lamps might be expected to fail in first 750 burning hours? Assume..

The lifetime of certain kinds of electronic devices have a mean of 350 hours and a standard deviation of 20 hours. The distribution is measured to the nearest hour and can be approximated closely to a normal curve. What percentage of electronic devices will have lifeti..

The heights of a group of young women aged 16 - 25 years was found to be normally distributed with a mean of 62.4 inches and a standard deviation of 1.5 inches. Find the probability of a woman having a height between 60 inches and 65 inches, using the standard nor..