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3 years ago

Find the volume of a pyramid with a square base, where the side length of the base is

Mathematics

2 answers:

Irina18 [472]3 years ago

8 0

Answer:

V = 16 89.3 ft^3

Step-by-step explanation:

The volume of a pyramid of base b and height h is

V = (1/3)(base)(height), which in this case is:

V = (1/3)(18.2 ft)^2*(15.3 ft)

Evaluating this with a calculator, we get V = 16 89.3 ft^3

nalin [4]3 years ago

6 0

1689.32 hope this helps

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A chemist calculated that the amount of baking soda required for an experiment is between

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Answer:

4.5g

Step-by-step explanation:

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4 0

2 years ago

Help me please and thank you

Vlad1618 [11]

Answer:

-2

Step-by-step explanation:

The formula to find the slope of two points is $\frac{y_2-y_1}{x_2-x_1}$ . Now, we plug in the values of (8,-6) and (11,-12) and simplify.

$\frac{(-12)-(-6)}{(11)-(8)}$
$\frac{-12+6}{3}$
$\frac{-6}{3}$
$-2$

Therefore, the slope is -2.

Have a lovely rest of your day/night, and good luck with your assignments! ♡

6 0

2 years ago

After y’all answer this come back for part b

Rom4ik [11]

Answer:

part A: 130 stamps

Step-by-step explanation:

lemme look at ur comment rq cause i cant see it while doing my answer ;H;

3 0

2 years ago

g The average midterm score of students in a certain course is 70 points. From the past experience it is known that the midterm

spayn [35]

Answer:

0.98 = 98% probability that the average midterm score of these students is at most 75 points.

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