Luca has 13 more crayons than Sam. If Luca has 42 crayons, how many crayons does Sam have ?

Several paint mixtures are made by mixing blue paint and white paint. Paint Colors Blue Paint White Paint Mixture A 5 cups 12 cu

Flura [38]

The correct answer is option B which is mixture B will have the highest ratio of blue paint.

<h3>What is a ratio?</h3>

In mathematics, ratios are used to determine the relationship between two numbers it indicates how many times is one number to another number.

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The given ratios are:-

Mixture A = $\dfrac{5}{12} = 0.41$

Mixture B = $\dfrac{6}{6}= 1$

Mixture C = $\dfrac{4}{12}= 0.33$

Mixture B = $\dfrac{5}{6}=0.83$

Here the ratio of mixture B is the highest among all the options available.

Therefore the correct answer is option B which is mixture B will have the highest ratio of blue paint.

To know more about ratios follow

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4 0

2 years ago

If x^2+y^2=73 and xy=24, what is the value of (x+y)^2? And Why?

nydimaria [60]

(x+y)^2=x^2+y^2+2xy=73+2*24=73+48=121

⇒ (x+y)^2=121

7 0

3 years ago

There are 60 new houses being built in a neighborhood. Last month 1/3 of them were sold. This month 1/5 of the remaining houses

tatuchka [14]

Answer:

4

Step-by-step explanation:

8 0

3 years ago

Data collected at Toronto Pearson International Airport suggests that an exponential distribution with mean value 2725hours is a

Ivan

Answer:

a) What is the probability that the duration of a particular rainfall event at this location is at least 2 hours?

We want this probability"

$P(X >2) = 1-P(X\leq 2) = 1-(1- e^{-0.367 *2})=e^{-0.367 *2}= 0.48$

At most 3 hours?

$P(X \leq 3) = F(3) = 1-e^{-0.367*3}= 1-0.333 =0.667$

b) What is the probability that rainfall duration exceeds the mean value by more than 2 standard deviations?

$P(X > 2.725 + 2*5.540) = P(X>13.62) = 1-P(X$

What is the probability that it is less than the mean value by more than one standard deviation?

$P(X$

Step-by-step explanation:

Previous concepts

The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

$P(X=x)=\lambda e^{-\lambda x}$