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Contact [7]
3 years ago
5

Sam wants to lose 10% of his weight what is 10% in decimal

Mathematics
1 answer:
poizon [28]3 years ago
8 0
p\%=\dfrac{p}{100}\\\\10\%=\dfrac{10}{100}=\dfrac{1}{10}=0.1\\\\Answer:\boxed{10\%=0.1}
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WILL MARK BRAINLIEST
Sergeeva-Olga [200]

Answer:

a.$167.03

Step-by-step explanation:

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2 years ago
At the local recycling center, employees are paid every two weeks. If Jeremy was paid 12,480 last year, how much did he make eac
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3 years ago
P(X< ) 1-P(X> ) A softball pitcher has a 0.626 probability of throwing a strike for each curve ball pitch. If the softball
Mashutka [201]

Answer:

19.49% probability that no more than 16 of them are strikes

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 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)}.

In this problem, we have that:

n = 30, p = 0.626

So

\mu = E(X) = np = 30*0.626 = 18.78

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{30*0.626*0.374} = 2.65

What is the probability that no more than 16 of them are strikes?

Using continuity correction, this is P(X \leq 16 + 0.5) = P(X \leq 16.5), which is the pvalue of Z when X = 16.5. So

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

Z = \frac{16.5 - 18.78}{2.65}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

19.49% probability that no more than 16 of them are strikes

7 0
3 years ago
I WILL MARK THE BRAINLIEST!!! One math question. please explain as well
8090 [49]
Surface area of a sphere=4pi(r^2)
Volume of a sphere=(4/3)pi(r^3)
You need to find the r value to calculate surface area, so I'll solve for that first.
(4/3)pi(r^3)=2254pi
(4/3)(r^3)=2254
r^3=1690.5
r=(1690.5)^(1/3), around 11.9126m
Substitute this in to find surface area
A=4pi(r^2)=4pi(11.9126)^2
=1783.2818 m^2
5 0
4 years ago
A computer is normally $550 but is discounted to $385. What percent of the original price does Mark pay?
Lemur [1.5K]
Hi!

Use The Percentage Formula To Solve:

385 ÷ 550 * 100 = 70

Mark pays 70% of the original price.
3 0
3 years ago
Read 2 more answers
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