Answer:
The correct Answer is 0.0571
Explanation:
53% of U.S. households have a PCs.
So, P(Having personal computer) = p = 0.53
Sample size(n) = 250
np(1-p) = 250 * 0.53 * (1 - 0.53) = 62.275 > 10
So, we can just estimate binomial distribution to normal distribution
Mean of proportion(p) = 0.53
Standard error of proportion(SE) =
=
= 0.0316
For x = 120, sample proportion(p) =
=
= 0.48
So, likelihood that fewer than 120 have a PC
= P(x < 120)
= P( p^ < 0.48 )
= P(z <
) (z=
)
= P(z < -1.58)
= 0.0571 ( From normal table )
Answer: Compatibility
Explanation:
According to the question, the given products are offering compatibility with the customers needs and the priorities of the consumers. The customers comparability means the degree of the product that fit between customers expectation and the capability of serving by the operation team.
The customers expectation mainly reflected both the present and the past evaluation of the products and the user experience. The compatibility of the customers needs is to meet the quality, value and the service of the product.
The managed service should you use if you want to do a lift and shift of an existing Hadoop cluster without having to rewrite your Spark code is f G. Cloud's.
<h3>What is Lift and shift Hadoop clusters?</h3>
This is one where a person can migrate their existing Hadoop and Spark deployment so that they can use G. Cloud without having to engage in re-architecting.
The managed service should you use if you want to do a lift and shift of an existing Hadoop cluster without having to rewrite your Spark code is f G. Cloud's as it is advantage fast and flexible way to put together infrastructure as a service and others.
Learn more about managed service from
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