6000 tons/year = 6000 × 10^6 grams/year
1.5 g/cm³ = 1500 kg/m³
Volume = Mass / Density
Volume = 6000 × 10^6 grams/year ÷ 1.5 g/cm³ = 4000 × 10^6 cm³/year
4000 × 10^6 cm³/year = 4000 m³/year
Erosion rate = Volume / Area = 4000 m³/year ÷ 8 × 10^6 m² = 0.0005 m/year = 0.5 mm/year
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?
While doing Bayesian inference, consider estimating the posterior distribution of the model parameter (m), given data (d). Assume that Prior and Likelihood are proportional to Gaussian functions given by \[ {Prior} \propto \exp(-0.5(m - 1)^2) \] \[ {Likelihood} \propto \exp(-0.5(m - 3)^2) \]
The mean of the posterior distribution is (Answer in integer)