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3 years ago

Easy question help fast please

Mathematics

1 answer:

zubka84 [21]3 years ago

5 0

Answer:

<BOC = 100*

Step-by-step explanation:

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Step-by-step explanation:

a complementary angle measures 90 degrees. minus the 64 would be 26

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Bonnie purchased a 30-ounce package of Chocolate Chunk Cookies for $2.40. What is the cost per ounce? Only middle schoolers can

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Raymond wants to estimate the percentage of parents who use cloth diapers. He asks a randomly selected group of 200 parents whet

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The 200 parents. It basically means the amount/number of the population you are testing. In this case it would be the 200 parents.

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F(x)=x^2-5x f(4)= evaluate

Yuliya22 [10]

Step-by-step explanation:

Evaluate f(x) = x^2 - 5x , where f(4)

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=> f(4) = -4.

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3 years ago

A consumer survey indicates that the average household spendsμ= $185on groceries each week. The distribution of spending amounts

Vitek1552 [10]

Answer:

$P(X>200)=P(\frac{X-\mu}{\sigma}>\frac{200-\mu}{\sigma})=P(Z>\frac{200-185}{25})=P(Z>0.6)$

And we can find this probability using the complement rule and with the normal standard table or excel:

$P(Z>0.6)=1-P(z$

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

Solution to the problem

Let X the random variable that represent the average household spent of a population, and for this case we know the distribution for X is given by:

$X \sim N(185,25)$

Where $\mu=185$ and $\sigma=25$

We are interested on this probability

$P(X>200)$

And the best way to solve this problem is using the normal standard distribution and the z score given by:

$z=\frac{x-\mu}{\sigma}$

If we apply this formula to our probability we got this:

$P(X>200)=P(\frac{X-\mu}{\sigma}>\frac{200-\mu}{\sigma})=P(Z>\frac{200-185}{25})=P(Z>0.6)$

And we can find this probability using the complement rule and with the normal standard table or excel:

$P(Z>0.6)=1-P(z$

7 0

3 years ago