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4 years ago

What is 0.0371 × 10000?

2 answers:

8 0

Since we are multiplying 0.0367 x 10000, you would move the decimal over 4 times to the RIGHT (only move the decimal to the left when dividing)

Your answer would then be: 367

Hope that helps explain a little bit better! Good luck. :)

liraira [26]4 years ago

3 0

The answer to this mathmatical problem is 371

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Test scores are normally distributed with a mean of 100 and a standard deviation of 15. an individual's iq score is found to be

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Z score=(data value-mean)/standard deviation
z=(90-100)/15=-0.6666666667

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4 years ago

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3 years ago

You have been hired as the quality control office of a pharmaceutical company that manufactures aspirin tablets. According to th

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Answer:

$P(X=0)=(24C0)(0.04)^0 (1-0.04)^{24-0}=0.375413$

$P(X=1)=(24C1)(0.04)^1 (1-0.04)^{24-1}=0.$

So then the probability that the batch would be accepeted is:

$0.375413+0.375413=0.7508$

Step-by-step explanation:

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Let X the random variable of interest, on this case we now that:

$X \sim Binom(n=24, p=0.04)$

On this case p=0.04 represent the probability that a random the tablet would be NOT accepted

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

They accept the batch if there is only one or no tablet that doesn’t meet the test specification, so let's find the individual probabilities for this case:

$P(X=0)=(24C0)(0.04)^0 (1-0.04)^{24-0}=0.375413$

$P(X=1)=(24C1)(0.04)^1 (1-0.04)^{24-1}=0.$

So then the probability that the batch would be accepeted is:

$0.375413+0.375413=0.7508$

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