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The binomial expansion is valid for n less than 1.
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Why expansion of water is more than expansion of solids?
The inter atomic force is comparatively less in case of liquid
Do we have types of validity of a test other than content validity?
others type of validity of a test other than content
Do we have other type of validity of a test other than content validity?
others type of validity of a test other than content
Do we have other types of validity test other than content validity?
others type of validity of a test other than content
Do we have other types of validity of a test other than content validity?
others type of validity of a test other than content
Do we have other types of validity of test other than content validity?
others type of validity of a test other than content
How is nonverbal communication more effective than verbal communication?
Less potential for misunderstandings in writing as well as better legal validity.
Is this a binomial 2xy?
No, it's not a binomial. (x + 5) is an example of a binomial. A binomial has more than one term. Just look at the word binomial and you will know why. Bi means two.2xy is a monomial. Mono means one.
Using the remainder formula for the Taylor polynomial approximation estimate the error in your approximation to sin n?
If you use n terms from the Taylor expansion, the absolute value of the error is less than [|x|^(2n+1)]/(2n+1)!If you use n terms from the Taylor expansion, the absolute value of the error is less than [|x|^(2n+1)]/(2n+1)!If you use n terms from the Taylor expansion, the absolute value of the error is less than [|x|^(2n+1)]/(2n+1)!If you use n terms from the Taylor expansion, the absolute value of the error is less than [|x|^(2n+1)]/(2n+1)!
Do we have other type of a test other than content validity?
others type of validity of a test other than content
Is it easier to increase internal validity than external validity?
No it is not easier because of the external flow.
Is the possible values for a binomial random variable the whole numbers from zero to infinity?
No. A binary distribution gives the probability of obtaining x successes in n trials, x can not be greater than n. The binomial distribution can be used for any whole number greater than 0, but the distribution is not unbounded. So let's say the binomial can determine the probability of x success in n trials where n can be from zero to some finite number less than infinity.
