Is it just me? or does tutoring never work anymore :/

Plz help me i need it!

Anon25 [30]

Answer:

The answer is G, 24 1/2

Step-by-step explanation:

Hope this helps! :)

5 0

3 years ago

Could someone help me solve this problem?

Ann [662]

Answer:

$\boxed{x=58}$ & $\boxed{m \angle C = 60}$

Step-by-step explanation:

You need to find x first in order to find the measure of angle C. To solve for x, we will use the fact that interior angles of a triangle have angle measurements that add up to 180 degrees.

Using this knowledge, we can create an equation where angles A, B, and C add up to equal 180.

$A+B+C=180$
$(x+4)+(x)+(x+2)=180$

Combine like terms on the left side of the equation.

$3x + 6 = 180$

Subtract 6 from both sides of the equation.

$3x=174$

Divide both sides of the equation by 3.

$x=58$

Now that you've found the value of x, you can use this value to plug into the expression for angle C.

$C=x+2$
$C=(58)+2$
$C=60$

Therefore, the final answer is:

$x=58\ \text{and} \ m \angle C = 60$

4 0

3 years ago

Read 2 more answers

Suppose a random variable, x, follows a Poisson distribution. Let μ = 2.5 every minute, find the P(X ≥ 125) over an hour. Round

Mashutka [201]

Answer:

P(X ≥ 125) = 0.9812

Step-by-step explanation:

To solve this question, we need to understand the Poisson distribution and the normal distribution.

Poisson distribution:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

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

In which

x is the number of sucesses

e = 2.71828 is the Euler number

$\lambda$ is the mean in the given interval, which is the same as the variance.

Normal 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.

The Poisson can be approximated to the normal, with $\mu = \lambda, \sigma = \sqrt{\lambda}$