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mamaluj [8]
2 years ago
11

A 5 n force is acting on the charge 6μc at any point. what is magnitude of the electric field at that point?

SAT
1 answer:
brilliants [131]2 years ago
4 0

The magnitude of the electric field at the given point is 8.33 * 10⁵N/C.

Given the data in the question;

  • Electrostatic force exterted; F = 5N
  • Charge; q = 6uC = 6*10^{-6}C
  • Magnitude of electric field; E =\ ?

<h3>Electric Field</h3>

The magnitude of electric field is simply referred to as the force per charge on a test charge.

It is expressed as;

E = \frac{F}{q}

Here, F is electrostatic force exerted and q is the charge.

To determine the magnitude of the electric field at the given point, we substitute our given values into the expression above.

E = \frac{F}{q} \\\\E = \frac{5N}{6*10^{-6}C} \\\\E = 8.33 * 10^5N/C

Therefore, the magnitude of the electric field at the given point is 8.33 * 10⁵N/C.

Learn more about coulomb's law: brainly.com/question/506926

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Lesson 6 homework practice use the pythagorean theorem answer key
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Pythagorean theorem should be used to determine the length of any of the three sides of a right-angled triangle.

<h3>What is Pythagorean Theorem?</h3>

Pythagorean theorem can be defined as a fundamental mathematical equation in Euclidean geometry and it can be used to determine the length of any of the three (3) sides of a right-angled triangle.

Mathematically, Pythagorean's Theorem is given by this formula:

c² = a² + b²

<u>Where:</u>

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<u>For example:</u>

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Read more on Pythagorean Theorem here: brainly.com/question/16176867

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2 years ago
A survey showed that 34 ​% of human resource professionals are at companies that rejected job candidates because of information
Svetllana [295]

Using the binomial distribution, it is found that since 16 is more than 2.5 standard deviations above the mean, it is a unusually high number.

<h3>What is the binomial probability distribution?</h3>

It is the probability of <u>exactly x successes on n repeated trials, with p probability</u> of a success on each trial.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

A measure is considered to be unusually high if it is more than 2.5 standard deviations above the mean.

In this problem, we hav ehtat:

  • 34% of companies reject candidates because of information found on their social media, hence p = 0.34.
  • 27 human resource professionals are randomly​ selected, hence n = 27.

Then, we find the threshold for unusually high values as follows:

E(X) = np = 27 x 0.34 = 9.18

\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{27(0.34)(0.66)} = 2.46

T = 9.18 + 2 x 2.46 = 14.1.

Since 16 is more than 2.5 standard deviations above the mean, it is a unusually high number.

More can be learned about the binomial distribution at brainly.com/question/24863377

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