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Mathematics

2 answers:

siniylev [52]3 years ago

8 0

1 is 10
2 is 20
3 is 40
4 is 40

Soloha48 [4]3 years ago

7 0

Answer:

Ok im, not 100% sure but the answer is for 1-10, 2-20, 3-40, 4-40

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Explain a real world situation where you would. need to multiply with negative or rational numbers

Oksi-84 [34.3K]

Let us say you must pay someone ten dollars a month. This is the same as being paid negative ten dollars a month. Ten months ago (in negative ten months) you were 100 dollars richer *. (-10)x(-10)=100

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3 years ago

There were 212 089 visitors to a tourist attraction last year. Express this

Montano1993 [528]

Answer:

212,000

Step-by-step explanation:

212 089, better written as 212,089, rounds down to 212,000.

As an example, 212,589 would round up to 213,000, and

212,389 would round down to 212,000.

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3 years ago

A random sample of 625 10-ounce cans of fruit nectar is drawn from among all cans produced in a run. Prior experience has shown

diamong [38]

Answer:

10.57% probability that the mean contents of the 625 sample cans is less than 9.995 ounces.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a large sample size can be approximated to a normal distribution with mean $\mu$ and standard deviation $\frac{\sigma}{\sqrt{n}}$ .

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 10, \sigma = 0.1, n = 625, s = \frac{0.1}{\sqrt{625}} = 0.004$