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4 years ago

Can someone explain this

Mathematics

1 answer:

Radda [10]4 years ago

6 0

It’s talking abt money so how much money did they get total in each part and put the right amount for that part where it goes

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In a certain area, there are 35 houses to 55 businesses. Write the ratio of houses to

ratelena [41]

Answer:

$\frac{7}{11}$

Step-by-step explanation:

Express the fraction as number of houses over number of businesses, that is

ratio = $\frac{35}{55}$

Divide numerator and denominator by 5 for simplest form

ratio = $\frac{7}{11}$

3 0

3 years ago

Priya’s family exchanged 250 dollars for 4,250 pesos. Priya bought a sweater for 510 pesos. How many dollars did the sweater cos

I am Lyosha [343]

Answer:

$30

Step-by-step explanation:

Dollars : Pesos

250 : 4250

X : 510

250/4250 = X/510

X = 30

5 0

3 years ago

Read 2 more answers

E=300-10 (30)<br> How to solve it step by step

Zepler [3.9K]

Answer:

Step-by-step explanation:

e = 300-10(30)

e = 300 - 300

e = 0

6 0

4 years ago

The Food and Drug Administration (FDA) produces a quarterly report called Total Diet Study. The FDA’s report covers more than 20

pav-90 [236]

Using the normal approximation to the binomial, it is found that:

The mean of X is of 52 samples.
The standard deviation of X is of 4.2661 samples.
0.0017 = 0.17% probability that less than half without any traces of pesticide.

--------------------------------

Binomial probability distribution

Probability of exactly x successes on n repeated trials, with p probability.

Can be approximated to a normal distribution, with mean given by:

$E(X) = np$

And standard deviation of:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Z-score formula is used, which, in a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

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

Each z-score has an associated p-value, which measures the percentile of measure X.

--------------------------------

65% of samples had no pesticide, thus $p = 0.65$
80 samples, thus $n = 80$

The mean of X is of:

$E(X) = np = 0.65(80) = 52$

The standard deviation of X is of:

$\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{80(0.65)(0.35)} = 4.2661$

Using the approximation and continuity correction, the probability is $P(X < 40 - 0.5) = P(X < 39.5)$ , which is the p-value of Z when X = 39.5. Thus: