Answer:
Work Function = 3.53 x 10⁻¹⁹ J = 2.2 eV
Explanation:
The work function of the metal metal can be found as follows:
Energy of Photon = Work Function + K.E
hc/λ = Work Function + K.E
Work Function = hc/λ - K.E
where,
h = Plank's Constant = 6.625 x 10⁻³⁴ J.s
c = speed of light = 3 x 10⁸ m/s
λ = wavelength of photons = 240 nm = 2.4 x 10⁻⁷ m
K.E = Maximum Kinetic Energy = (2.97 eV)(1.6 x 10⁻¹⁹ J/1 eV) = 4.752 x 10⁻¹⁹ J
Therefore,
Work Function = (6.625 x 10⁻³⁴ J.s)(3 x 10⁸ m/s)/(2.4 x 10⁻⁷ m) - 4.752 x 10⁻¹⁹ J
Work Function = 8.281 x 10⁻¹⁹ J - 4.752 x 10⁻¹⁹ J
<u>Work Function = 3.53 x 10⁻¹⁹ J = 2.2 eV</u>
Answer:
Explanation:
Pressure (P): the force exerted by gas molecules as they strike a given surface.
Volume (V): the space occupied by gas molecules.
Temperature (T): A measure of how fast gas molecules move (kinetic energy).
Amount (n): Amount in moles of gas molecules.
Absolutely ! If you have two vectors with equal magnitudes and opposite
directions, then one of them is the negative of the other. Their correct
vector sum is zero, and that's exactly the magnitude of the resultant vector.
(Think of fifty football players pulling on each end of the rope in a tug-of-war.
Their forces are equal in magnitude but opposite in sign, and the flag that
hangs from the middle of the rope goes nowhere, because the resultant
force on it is zero.)
This gross, messy explanation is completely applicable when you're totaling up
the x-components or the y-components.
Answer:
True
Explanation:
Forecast error can be referred to as the deviation of the actual demand from the forecasted or predicted demand.
In other words, it is the difference between the actual or real and the predicted or forecast value of a time series.
From the definition, we understand that forecast error is all about how much is the difference between what's is been forecasted and the actual value.
Mathematically,
Forecast Error = Actual Value of Demand - Forecasted Value of Demand.
Irrespective of whether the actual prediction is smaller or not; on a more standard term, it is calculated as follows
Forecast Error = ABS (Actual – Forecast)
Where ABS = the absolute value of....
And it always returns a positive value of the expression in brackets
