Please explain step by step, Thank you!

2. In the process of evolutionary optimization, when two solutions are compared, the one with better fitness (i.e. higher objective function value) is kept and the other solution is discarded. When there is a noise in the fitness function evaluation, solutions are evaluated a number of times, and the difference between average fitness values is taken into consideration. In a study, two solutions were evaluated 10 times, and the fitness values were obtained as follows: Solution A 0.32 0.53 0.28 0.37 0.47 0.43 0.30 0.42 0.38 0.43 Solution B 0.26 0.43 0.47 0.49 0.52 0.75 0.79 0.86 0.62 0.46 Can it be asserted that Solution B yields higher values of the objective function on average than Solution A at the 98% confidence level? (1 1 marks)