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Sliva [168]
3 years ago
14

Nine to the yth power?​

Mathematics
2 answers:
podryga [215]3 years ago
8 0

Answer:

9^{y}

Step-by-step explanation:

It literally means 9 to the power of whatever value y represents,...

Chow,...!

iren [92.7K]3 years ago
6 0

Answer:

9^y

Step-by-step explanation:

the way u write nine to the yth power, if y is something meet me in the comments!!

hope this helps, brailiest plzz!

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What is the value of the expression 6x - y when x = 3 and y = 1? (5 points)
Vladimir [108]

Answer:

the answer is 17

Step-by-step explanation:

6×3-1

= 17

6 0
3 years ago
Please help me!
irina1246 [14]

Answer:

50.24m²

Step-by-step explanation:

area of circle

= 3.14 × r²

= 3.14 × 4 × 4

= 50.24

3 0
3 years ago
What is 4/16 ÷ 3/4 ​
Kobotan [32]

Answer:

4/12 simplified to 1/3.

Step-by-step explanation:

4/16 x 4/3 = 4/12

4/12 = 1/3

5 0
3 years ago
Read 2 more answers
Each contestant in the Hunger Games must be trained to compete. Suppose that the time it takes to train a contestant has mean 5
LiRa [457]

Answer:

11.51% probability that it will take less than 450 days to train all the contestants.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For the sum of n variables, the mean is \mu*n and the standard deviation is s = \sigma\sqrt{n}

In this question:

n = 100, \mu = 100*5 = 500, s = 4\sqrt{100} = 40

Approximate the probability that it will take less than 450 days to train all the contestants.

This is the pvalue of Z when X = 450.

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

By the Central Limit Theorem

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

Z = \frac{450 - 500}{40}

Z = -1.2

Z = -1.2 has a pvalue of 0.1151

11.51% probability that it will take less than 450 days to train all the contestants.

8 0
4 years ago
What is the domain and range of the set?<br> {(2,2.3),(5,2.3), (7,15)}
aleksandrvk [35]

Answer:

DOMAIN: 2, 5, 7

RANGE: 2.3, 2.3, 15

Step-by-step explanation:

Domain is always the first value of the set, and range is always the second value of the set.  Hope it makes sense, and that it helped.

Have a good day! goodluck.

3 0
3 years ago
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