3. The standard deviation is the square root of the variance. The variance is calculated by subtracting the expected value from each outcome, squaring the result, multiplying by the probability, and then summing these products. Variance = [(0-2.35)^2*0.12] + [(1-2.35)^2*0.18] + [(2-2.35)^2*0.30] + [(3-2.35)^2*0.15] + [(4-2.35)^2*0.10] + [(5-2.35)^2*0.10] + [(6-2.35)^2*0.05] = 2.0475. Therefore, the standard deviation is the square root of the variance, which is approximately 1.43. Is this also not correct