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The concentration of electrolyte required to coagulate a given amount of <img src="data:image/png;base64,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" class="Wirisformula" alt="A s subscript 2 S subscript 3" width="46" height="17" style="vertical-align:-5px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»A«/mi»«msub»«mi»s«/mi»«mn»2«/mn»«/msub»«msub»«mi»S«/mi»«mn»3«/mn»«/msub»«/math»'/> sol is minimum in the case of

Solution for the question - the concentration of electrolyte required to coagulate a given amount ofas,s_(3) sol is minimum in the case of aluminium nitrate

The concentration of electrolyte required to coagulate a given -Turito

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To verify ohm’s law, a student is provided with a test resistor RT , a high resistance R1 , a small resistance R2 , two identical galvanometers G1 and G2 , and a variable voltage source V. The correct circuit to carry out the experiment is

Solution for the question - to verify ohms law, a student is provided with a test resistor rt , ahigh resistance r1 , a small resistance r2 , two identical galv

To verify ohms law, a student is provided with a test resist-Turito

If by mistake, voltmeter is connected in series with the resistance then i-v curve expected is (Here i = reading of ammter ,v=reading of voltmeter) <img src="https://mycourses.turito.com/pluginfile.php/1/question/questiontext/447570/1/927713/Picture41.png" alt="" width="269" height="175" />

Solution for the question - if by mistake, voltmeter is connected in series with the resistance theni-v curve expected is (here i = reading of ammter ,v=reading

If by mistake, voltmeter is connected in series with the resist-Turito

Solution for the question - lt_(x rarr0^(x+2)+4)(3^(x+1)+4)/(3^(x+2)) 01

Lt_(x rarr0^(x+2)+4)(3^(x+1)+4)/(3^(x+2)) -Turito

Solution for the question - {:lt_(x rarr0)(sin^(-1)x)/(x)) does not exist2

{:lt_(x rarr0)(sin^(-1)x)/(x)) -Turito

Solution for the question - lt_(x rarr0)(2x)/(tan^(-1)x) 42

Lt_(x rarr0)(2x)/(tan^(-1)x) -Turito

Solution for the question - lt_(x rarr4)(sqrtx-2)/(x-4) (1)/(4)  42

Lt_(x rarr4)(sqrtx-2)/(x-4) -Turito

Solution for the question - lt_(x rarr0)(2)/(x)log(1+x) l log x  01

Lt_(x rarr0)(2)/(x)log(1+x) -Turito

Solution for the question - lt_(x rarr0)(1+(2x)/(3))^((1)/(x)) e^(3)   e^((3)/(2))   e^((1)/(3))   e^((2)/(3))

Lt_(x rarr0)(1+(2x)/(3))^((1)/(x)) -Turito

Solution for the question - lt_(x rarr-1.5)cos^(-1)((x+3)/(3)) (pi)/(4)   (3i)/(3) (pi)/(6)   (pi)/(2)

Lt_(x rarr-1.5)cos^(-1)((x+3)/(3)) -Turito

Solution for the question - lt_(x rarr2)log_(10)[x^(6)+sqrt(x^(2)+1292) 60

Lt_(x rarr2)log_(10)[x^(6)+sqrt(x^(2)+1292)] -Turito

Solution for the question - 4t_(x rarr0)(1-cos x)/(x rarr0)(1)/(x^(2)) (1)/(2)  21

4t_(x rarr0)(1-cos x)/(x rarr0)(1)/(x^(2)) -Turito

Solution for the question - tt_(x rarr0)(3sin x^(0)-sin 3x^(8))/(x^(3)) 4((pi)/(180))^(3)   ((pi)/(180))^(3)  1

Tt_(x rarr0)(3sin x^(0)-sin 3x^(8))/(x^(3)) -Turito

Gas masks containing activated charcoal to remove poisonous gases from atmosphere acts on the principle of :

Solution for the question - gas masks containing activated charcoal to remove poisonous gases fromatmosphere acts on the principle of : all of thesesorption

Gas masks containing activated charcoal to remove poisonous gas-Turito

Match the items in column I and column II and choose the correct option: <img src="data:image/png;base64,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" alt="" /> The correct match is:

Solution for the question - match the items in column i and column ii and choose the correct option:the correct match is: (a) vec(r) (iii); (b) vec(r) (i); (c) vec(r) (iv); (d) vec(r) (ii)

Match the items in column i and column ii and choose the correc-Turito

If by mistake Ammeter is connected parallel to the resistance then i-v curve expected is (Here i = reading of ammeter, v=reading of voltmeter) <img src="https://mycourses.turito.com/pluginfile.php/1/question/questiontext/447554/1/927632/Picture35.png" alt="" width="242" height="183" />

Solution for the question - if by mistake ammeter is connected parallel to the resistance then i-vcurve expected is (here i = reading of ammeter, v=reading of v