SERIOUS ANSWERS PLEASE . I NEED HELP ON MATH .

liubo4ka [24]

'of' in math implies that the values are being multiplied together, so multiply 47 and 65%;
47 * 65% = 47 * .65 = 30.55

6 0

3 years ago

Which is the correct equation for the line given the following information: m = -3 b= -5

ludmilkaskok [199]

Well M represents the slope and the B represents the Y intercept ,See what two points cross the y axis ‍♀️

3 0

4 years ago

Solve x^2+12=-11 by completing the square. Which is the solution of the equation

sdas [7]

Answer:

x = square root of 23 i, x = - square root 23 i,

Step-by-step explanation: x^2+12=-11

Subtract 12 from both sides

x^2+12 - 12 = -11 - 12

Simplify

x^2 = -23

For x^2 = f(a) the solution are x = square root of F(a), - square root of f(a)

x = square root of - 23, x = - square root of -23

Simplify square root of -23: square root of 23

square root of 24

Apply radical rule: sqaure root of -a = square root of -1 square root of a

square root of -23 = square root of -1 square root of 23

= square root of -1 square root of 23

Apply imaginary number rule: square root of -1 = i

= square root of 23i

Simplify - square root of -23 square root of 23

-square root of -23

Simplify square root of-23 square root of 23i

= - square root of23i

x = square root of 23i, x = - square root of 23i

4 0

4 years ago

Suppose 44% of the children in a school are girls. If a sample of 727 children is selected, what is the probability that the sam

Harman [31]

Answer:

0.9484 = 94.84% probability that the sample proportion of girls will be greater than 41%

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 normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes 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 a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}}$