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yaroslaw [1]
3 years ago
11

Pick the number that will make the following expression true.​

Mathematics
2 answers:
Llana [10]3 years ago
8 0

Answer:

78

Step-by-step explanation:

Divide 27 by 100 and you will see it equals 0.27

knowing this made me realize that the unknown number must be the fraction form of 0.78

Arisa [49]3 years ago
4 0

Answer:

78 i believe

Step-by-step explanation:

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What is the value of c in the equation x^15/x^c =x^6
Galina-37 [17]

Step-by-step explanation:

\frac{ {x}^{15} }{ {x}^{c} }  =  { x}^{6} \\  {x}^{15 - c}  =  {x}^{6}

15 - c = 6

15 - 6 = c

9 = c

c = 9

3 0
2 years ago
X5+12x3-5x÷2x6+4x3+x2-2​
TEA [102]
22 I think If I worked it out right
7 0
3 years ago
What are the solutions of the following equation?<br>4|x - 9| + 9 = -3|x - 9| + 9​
Stells [14]

Answer:

X=9

Step-by-step explanation:

8 0
3 years ago
The lifespan (in days) of the common housefly is best modeled using a normal curve having mean 22 days and standard deviation 5.
Natasha_Volkova [10]

Answer:

Yes, it would be unusual.

Step-by-step explanation:

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

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.

If Z \leq -2 or Z \geq 2, the outcome X is considered unusual.

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.

In this question, we have that:

\mu = 22, \sigma = 5, n = 25, s = \frac{5}{\sqrt{25}} = 1

Would it be unusual for this sample mean to be less than 19 days?

We have to find Z when X = 19. So

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

By the Central Limit Theorem

Z = \frac{19 - 22}{1}

Z = -3

Z = -3 \leq -2, so yes, the sample mean being less than 19 days would be considered an unusual outcome.

7 0
3 years ago
What is this?<br><br> :) Help Plz!!!
Eduardwww [97]
Im 70% sure its blue x=1,x=-5/2

Hope i helped if did plz mark as brainliest^-^
3 0
3 years ago
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