Select all of the names of this polygon

Ben is taking three AP classes and two regular classes. His AP classes count twice as much as his regular classes in his GPA. Ea

zhannawk [14.2K]

This problem deals with a weighted average. Since the AP classes count twice as much as regular classes, their grades must be counted twice. It's as if for each AP class he's taking, he was taking two classes. The points of each AP class grade is added twice, and the each AP class counts as 2 classes in the number of classes.

Each AP class counts twice and counts as 2 classes.

Class                                Ben's grade     Points          Number of Classes
AP English                               B 3 + 3 2
AP Government      B 3 + 3 2
AP Algebra II                           A 4 + 4 2
Spanish B 3 1
Physics D 1 1
TOTALS 24 8

GPA = (total points)/(number of classes) = 24/8 = 3

<span>Answer: B 3.0</span>

7 0

3 years ago

Solve for the unknown<br> 7(42x)=28(4x)

aalyn [17]

Try to use Mathway if your having trouble solving your equations

4 0

3 years ago

Read 2 more answers

The Millivanil Cinema sold 150 tickets to a movie. Some of these were

yuradex [85]

Answer:

Step-by-step explanation:

<h3>to understand this</h3><h3>you need to know about:</h3>

system of linear equation

<h3>let's solve:</h3>

according to the first condition

a+c=150

according to the second condition

10.25a+7.75c=1470

8 0

2 years ago

The Office of Student Services at a large western state university maintains information on the study habits of its full-time st

Vera_Pavlovna [14]

Answer:

0.8254 = 82.54% probability that the mean of this sample is between 19.25 hours and 21.0 hours

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