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3 years ago

Can 4.7 be turned into a fraction

Mathematics

2 answers:

scoundrel [369]3 years ago

4 0

Answer: 4 and 7/10

Step-by-step explanation: Using the place value chart below,

we can see that 4.7 means four and seven tenths.

This can be written as the mixed number 4 and 7/10.

exis [7]3 years ago

3 0

Answer:

Yes! It can

$Fraction=4\frac{7}{10}$

Decimals can convert into fractions!

4 is the whole number

.70 is

70 out hundredths

7/10 or 7/100

So the fraction would be

$4\frac{7}{10}$

Hope this helps!

$Fishylikeswater$

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the expression 15n + 12n + 100 rersents the total cost in dollars for skis, boots and a lesson for n skiers. simplify the expres

ankoles [38]

Answer:

$316.

Step-by-step explanation:

The terms that have n can be operated:

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4 years ago

Read 2 more answers

Pierre drove his motorcycle 120 miles in 3 hours. At this rate how many miles can he drive in 8 hours?

Fed [463]

Set up a proportion having 120 over 3 = x over 8
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3 years ago

Suppose that 20% of the adult women in the United States dye or highlight their hair. We would like to know the probability that

Rasek [7]

Answer:

71.08% probability that pˆ takes a value between 0.17 and 0.23.

Step-by-step explanation:

We use the binomial approxiation to the normal to solve this question.

Binomial probability distribution

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

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

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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.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .