Any help on this image please? i don't get it

What is the quotient?

morpeh [17]

The correct answer is c, 370

8 0

2 years ago

What is the value of 36X negative Y over to when X equals three and Y equals -6

Rus_ich [418]

Note:

Your question is a little unclear. But, from my understanding, I assume you may be asking the evaluation of the expression 36x - y when x = 3 and y = -6.

so I will solve based on my assumption which anyways would clear your concept.

Answer:

The value of 36x - y when x = 3 and y = -6 will be: 114

Step-by-step explanation:

Given

Assuming the expression

36x - y

To Determine

Evaluate 36x - y when x = 3 and y = -6

Given the expression

$36x - y$

substitute x = 3 and y = -6 to evaluate the expression

$36x-y= 36(3) - (-6)$

$= 108+6$

$= 114$

Therefore, the value of 36x - y when x = 3 and y = -6 will be: 114

5 0

2 years ago

Describe and correct the error in solving the equation 7 - 3x = 12 4x = 12 x = 3

aev [14]

If x=3
Just replace the X with 3
So seven minus three equals four
If 3 is X than do 4 times 3 which that makes twelve.

3 0

2 years ago

Plz help me. But like for real plz

scoundrel [369]

Answer:

They will pay the same amount!

3 0

2 years ago

Read 2 more answers

The average score of all golfers for a particular course has a mean of 75 and a standard deviation of 4. Suppose 64 golfers play

Vilka [71]

Answer:

0.0228 = 2.28% probability that the average score of the 64 golfers exceeded 76.

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.

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 $s = \frac{\sigma}{\sqrt{n}}$ .