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Mathematics

2 answers:

Evgesh-ka [11]2 years ago

7 0

Answer:

The answer is a, 8+s=10

Step-by-step explanation:

attashe74 [19]2 years ago

7 0

Answer:

A) 8 + s = 10

Step-by-step explanation:

It is A 8 plus whoever much the salad was s equals 10

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Sum to n terms series 2.3+3.4+4.5+…<br>

mart [117]

Answer:

5.6

Step-by-step explanation:

3.4-2.3=1.1

2.3+1.1=3.4

3.4+1.1=4.5

4.5+1.1=5.6

3 0

3 years ago

"is it appropriate to use the normal approximation for the sampling distribution of"

Katyanochek1 [597]

Answer: Normal approximation can be used for discrete sampling distributions, such as Binomial distribution and Poisson distribution if certain conditions are met.

Step-by-step explanation: We will give conditions under which the Binomial and Poisson distribitions, which are discrete, can be approximated by the Normal distribution. This procedure is called normal approximation.

1. Binomial distribution: Let the sampling distribution be the binomial distribution $B(n,p)$ , where $n$ is the number of trials and $p$ is the probability of success. It can be approximated by the Normal distribution with the mean of $np$ and the variance of $np(1-p)$ , denoted by $N(np,np(1-p))$ if the following condition is met:

$n>9\left(\frac{1-p}{p}\right)\text{ and } n>9\left(\frac{p}{1-p}\right)$

2. Poisson distribution: Let the sampling distribution be the Poisson distribution $P(\lambda)$ where $\lambda$ is its mean. It can be approximated by the Normal distribution with the mean $\lambda$ and the variance $\lambda$ , denoted by $N(\lambda,\lambda)$ when $\lambda$ is large enough, say $\lambda>1000$ (however, different sources may give different lower value for $\lambda$ but the greater it is, the better the approximation).