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Maksim231197 [3]
3 years ago
5

Erin and kelly were getting manicures this week. erin gets a manicure every 4 weeks. kelly gets a manicure every 5 weeks. what i

s the fewest number of weeks that will pass before both girls will get manicures again in the same week?
Mathematics
1 answer:
Tasya [4]3 years ago
7 0

Answer:

20

Step-by-step explanation:

20 is the lowest common multiple

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Answer:

1

intercepts on the y line

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What is the solution to the equation below? Round your answer to two
kolezko [41]

Answer:

2

Step-by-step explanation:

added 2 decimal point to know the solution or space.

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Read 2 more answers
Consider the probability that no less than 95 out of 152 registered voters will vote in the presidential election. Assume the pr
nikdorinn [45]

Answer:

0.3821 = 38.21% probability that no less than 95 out of 152 registered voters will vote in the presidential election.

Step-by-step explanation:

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:

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

Normal probability distribution

Problems of normally distributed distributions 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)}.

Assume the probability that a given registered voter will vote in the presidential election is 61%.

This means that p = 0.61

152 registed voters:

This means that n = 152

Mean and Standard deviation:

\mu = E(X) = 152*0.61 = 92.72

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{152*0.61*0.39} = 6.01

Probability that no less than 95 out of 152 registered voters will vote in the presidential election.

This is, using continuity correction, P(X \geq 95 - 0.5) = P(X \geq 94.5), which is 1 subtracted by the pvalue of Z when X = 94.5. So

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

Z = \frac{94.5 - 92.72}{6.01}

Z = 0.3

Z = 0.3 has a pvalue of 0.6179

1 - 0.6179 = 0.3821

0.3821 = 38.21% probability that no less than 95 out of 152 registered voters will vote in the presidential election.

6 0
3 years ago
Over the summer,Kate earned $180 each week for 7 weeks.Of that money,she spent $375 on a new computer and $137 on new clothes. H
ikadub [295]

Answer:

it is 748

Step-by-step explanation:

I know how to do math

5 0
3 years ago
Whats 10x10+3942x238 divided by 12
yuradex [85]
78,191.33


10x10=100
3942x238=938,196
938,196 + 100=
938,296 divided by 12=
78,191.33
8 0
3 years ago
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