To find the probability of drawing one green and one blue ball from a box containing 3 green and 7 blue balls, we consider the problem in terms of combinations because the balls are identical within their colors.
Step 1: Calculate the number of ways to choose 1 green ball from 3. This can be done using the combination formula \(\binom{n}{k}\): \[ \binom{3}{1} = 3 \] Step 2: Calculate the number of ways to choose 1 blue ball from 7: \[ \binom{7}{1} = 7 \] Step 3: Calculate the total number of ways to draw any two balls from the 10 balls (3 green + 7 blue): \[ \binom{10}{2} = 45 \] Step 4: Compute the probability of drawing one green and one blue ball: \[ \frac{\binom{3}{1} \times \binom{7}{1}}{\binom{10}{2}} = \frac{3 \times 7}{45} = \frac{21}{45} = \frac{7}{15} \] Therefore, the probability of drawing one green and one blue ball is \(\frac{7}{15}\), and the correct option based on this analysis is: \(\frac{3C1 \times 7C1}{10C2}\)
Correctly match the Coenzyme with its respective involvement in a specific Reaction type.

Correctly match the Enzyme with its respective Function.

The figures I, II, and III are parts of a sequence. Which one of the following options comes next in the sequence at IV?

A color model is shown in the figure with color codes: Yellow (Y), Magenta (M), Cyan (Cy), Red (R), Blue (Bl), Green (G), and Black (K). Which one of the following options displays the color codes that are consistent with the color model?

Consider a process with transfer function: \[ G_p = \frac{2e^{-s}}{(5s + 1)^2} \] A first-order plus dead time (FOPDT) model is to be fitted to the unit step process reaction curve (PRC) by applying the maximum slope method. Let \( \tau_m \) and \( \theta_m \) denote the time constant and dead time, respectively, of the fitted FOPDT model. The value of \( \frac{\tau_m}{\theta_m} \) is __________ (rounded off to 2 decimal places).
Given: For \( G = \frac{1}{(\tau s + 1)^2} \), the unit step output response is: \[ y(t) = 1 - \left(1 + \frac{t}{\tau}\right)e^{-t/\tau} \] The first and second derivatives of \( y(t) \) are: \[ \frac{dy(t)}{dt} = \frac{t}{\tau^2} e^{-t/\tau} \] \[ \frac{d^2y(t)}{dt^2} = \frac{1}{\tau^2} \left(1 - \frac{t}{\tau}\right) e^{-t/\tau} \]