During a solar eclipse, what is causing the earth’s view of the sun to be darkened?

2 answers:

8 0

A solar eclipse occurs when the moon gets between Earth and the sun, and the moon casts a shadow over Earth. A solar eclipse can only take place at the phase of new moon, when the moon passes directly between the sun and Earth and its shadows fall upon Earth's surface.

Serggg [28]3 years ago

7 0

Answer:

the moon blocks light from the sun by coming between the earth and the sun

You might be interested in

It takes 570 gallons of paint to

Irina18 [472]

Answer:

142.5 gallons

Step-by-step explanation:

Divide 570 by 4 and then use that for one side

5 0

3 years ago

Y is inversely proportional to x.

DedPeter [7]

Answer:

see explanation

Step-by-step explanation:

Given that y is inversely proportional to x then the equation relating them is

y = $\frac{k}{x}$ ← k is the constant of proportionality

To find k use the condition that y = 7, x = 9

k = yx = 7 × 9 = 63, thus

y = $\frac{63}{x}$ ← equation of proportion

When x = 21, then

y = $\frac{63}{21}$ = 3

7 0

3 years ago

A charity receives 2025 contributions. Contributions are assumed to be mutually independent and identically distributed with mea

uysha [10]

Answer:

The 90th percentile for the distribution of the total contributions is $6,342,525.

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