How would you symplify 5 and the square root of 90? Please show steps

1 answer:

8 0

First you have to find the square root of 90 which is about 9.5
now multiply, divide, add, or subtract 5 from 9.5 to get your answer.

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evablogger [386]

Answer:

D) 5/12

Step-by-step explanation:

Suppose there are 30 girls at the school. Then the proportions tell you that 12 of them study music, and 5 of them study both music and dance.

Then 5 of the 12 girls who study music also study dance. That fraction is 5/12.

_____

We chose 30 because it is the least common multiple of the denominators of the fractions (2/5, 3/5, 1/6) in the problem statement.

Of course, you know that 2/5·30 = 12, and 1/6·30 = 5.

7 0

2 years ago

Georgia [21]

I just gave you the answers

7 0

3 years ago

Solve the given proportion. XIN = = 7 49 x = [?] Enter Ar

telo118 [61]

<h3 /><h3> $\frac{x}{7} = \frac{7}{49} \\ x = \frac{7}{49} \times 7 \\ x = \frac{49}{49} \\ x = 1$ </h3>

- BRAINLIEST answerer

6 0

2 years ago

Read 2 more answers

Students who have completed a speed reading course have reading speeds that are normally distributed with a mean of 950 words pe

VikaD [51]

Answer:

36.04% probability that at most two of them would read at less than 850 words per minute

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the binomial probability distribution.

Normal probability distribution

Problems of normally distributed samples are 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.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$