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Yes, and is equal to 1. This is true for normal distribution using any mean and variance.

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โˆ™ 2010-02-19 14:58:36
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A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

The sum or difference of p and q is the of the x-term in the trinomial

A number a power of a variable or a product of the two is a monomial while a polynomial is the of monomials

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Q: Is total area under a normal distribution finite?
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Is the total area under a normal distribution curve to the right of the mean is always equal to 0?

100%


Find the area under the normal distribution curve between z equals 1.23 and z equals 1.90?

Look in any standard normal distribution table; one is given in the related link. Find the area for 2.43 and 1.52; then take the area for 2.43 and subtract the area for 1.52 and that will be the answer. Therefore, .9925 - .9357 = .0568 = area under the normal distribution curve between z equals 1.52 and z equals 2.43.


Why sigma is used in 6 sigma?

sigma represents standard deviation. In a normal distribution, +/- 1 sigma from the mean, for instance, corresponds to approximately 67% of the area under the normal distribution. +/- 2 sigma corrresponds to 95% of the area and +/- 3 sigma from the mean corresponds to 99% of the area under a normal distribution. The area that is covered under +/- six sigma from the mean corresponds to nearly 100% -- that is, the part of the area NOT under that +/- 6 sigma is in the 10^-15 range or 1/1,000,000,000,000,000. The six sigma name borrows from this to suggest that the method gives this degree of certainty: that in 999,999,999,999,999 in 1,000,000,000,000,000 cases the result will be predictable. It does nothing, however, to explain how an agricultural process management methodology applies to other fields.


In statistics if a condition occurs to more than 10 percent of the population is this considered abnormal?

I am under the assumption that in statistics, if the ten percent condition is not met, meaning that the sample size is more than 10% of the population, then the result is not a normal distribution.


What area under the standard normal curve falls outside the z-value -2.5 and 2.5?

0.0124

Related questions

The total area under a normal distribution is infinite?

The total area under a normal distribution is not infinite. The total area under a normal distribution is a continuous value between any 2 given values. The function of a normal distribution is actually defined such that it must have a fixed value. For the "standard normal distribution" where μ=0 and σ=1, the area under the curve is equal to 1.


Is the total area under a normal distribution curve to the right of the mean is always equal to 0?

100%


The distribution of sample means is not always a normal distribution Under what circumstances will the distribution of sample means not be normal?

The distribution of sample means will not be normal if the number of samples does not reach 30.


Is The total area under the curve of any normal distribution is 1.0?

yes because 1 = 100% so the entire area under the curve is 100%


What is the area under the standard normal distribution called?

One.


Is in the normal distribution the total area beneath the curve represent the probability for all possible outcomes for a given event?

Yes. The total area under any probability distribution curve is always the probability of all possible outcomes - which is 1.


Give three properties of a normal distribution function?

1.it is bell shaped.2.m.d=0.7979 of s.d 3.total area under the normal curve is equal to 1.


How do you find the area of a normal distribution?

The area under a normal distribution is one since, by definition, the sum of any series of probabilities is one and, therefore, the integral (or area under the curve) of any probability distribution from negative infinity to infinity is one. However, if you take an interval of a normal distribution, its area can be anywhere between 0 and 1.


What is the area under the standard normal distribution curve between z0.75 and z1.89?

0.1972


What is the area under the standard normal distribution curve between z1.50 and z2.50?

~0.0606


What is the area under normal distribution curve between z1.50 and z2.50?

Approx 0.0606


Are these true of normal probability distribution IIt is symmetric about the mean TTotal area under the normal distribution curve is equal to 1 DDistribution is totally described by two quantities?

Yes, it is true; and the 2 quantities that describe a normal distribution are mean and standard deviation.

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