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Luda [366]
1 year ago
14

The linear density of a rod of length 4 m is given by (x) = 2/sqrt(x), in grams per centimeter, where x is measured in centimete

rs from one end of the rod. Find the mass of the rod.
Mathematics
1 answer:
lyudmila [28]1 year ago
5 0

The density of a substance is the ratio of its mass and its volume. The mass of the rod is 10,666.67 grams or 10.67 kgs.

<h3>What is the density of a substance?</h3>

The density of a substance is the ratio of its mass and its volume. Therefore we can write,

d = \dfrac{m}{v}

mass of substance = m kg

density of substance = d kg/m³

volume of that substance = v m³

The length of the rod is 4 meters, therefore, the length of the rod in centimeters will be 400 centimeters. Thus, The mass in terms of density can be written as,

m = \int_0^4(2\sqrt x)dx\\\\

     = [2\cdot \dfrac{2x^{\frac32}}{3}]_0^{400}\\\\= [\dfrac{4x^{\frac32}}{3}]_0^{400}\\\\=[\dfrac{4(400)^{\frac32}}{3}]-[\dfrac{4(0)^{\frac32}}{3}]\\\\= 10,666.\bar6\rm\ grams

Hence, the mass of the rod is 10,666.67 grams or 10.67 kgs.

Learn more about Density:

brainly.com/question/952755

#SPJ1

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The sum of two numbers is 2. If one number is subtracted from the​ other, their difference is -8. Find the numbers.
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Answer:

5 and -3

Step-by-step explanation:

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BY USING SIMULTANEOUS EQUATION

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2Y=10

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3 years ago
A manufacturer produces a commodity where the length of the commodity has approximately normal distribution with a mean of 6.5 i
zavuch27 [327]

The probablity that the sample's mean length is greate than 6.3 inches is0.8446.

Given mean of 6.5 inches,standard deviation of 0.5 inches and sample size of 46.

We have to calculate the probability that the sample's mean length is greater than 6.3 inches is 0.8446.

Probability is the likeliness of happening an event. It lies between 0 and 1.

Probability is the number of items divided by the total number of items.

We have to use z statistic in this question because the sample size is greater than 30.

μ=6.5

σ=0.5

n=46

z=X-μ/σ

where μ is mean and

σ is standard deviation.

First we have to find the p value from 6.3 to 6.5 and then we have to add 0.5 to it to find the required probability.

z=6.3-6.5/0.5

=-0.2/0.5

=-0.4

p value from z table is 0.3446

Probability that the mean length is greater than 6.3inches is 0.3446+0.5=0.8446.

Hence the probability that the mean length is greater than 6.3 inches is 0.8446.

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5 0
2 years ago
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