Using the formula for combined probabilities, $P(\text{brown or red}) = 0.12 + 0.12 = 0.24.$
Since each selection is independent, the probability that all 1 selections are brown or red is $P(\text{brown or red})^{num_selections} = 0.24^{num_selections} = 0.24.$
Using the probability of selecting a yellow, $P(\text{yellow}) = 0.15,$ for 3 independent selections.
The probability that all 3 selections are yellow is $P(\text{yellow})^{num_selections} = 0.15^{num_selections} = 0.003.$
Using the formula for the complement probability, $P(\text{not blue}) = 1 - P(\text{blue}) = 1 - 0.23 = 0.77.$
Since each selection is independent, the probability that all 3 selections are not blue is $P(\text{not blue})^{num_selections} = 0.77^{num_selections} = 0.457.$
First, calculate the probability of not selecting a blue in one selection, $P(\text{not blue}) = 1 - P(\text{blue}) = 1 - 0.23 = 0.77.$
The probability of selecting at least one blue among 3 selections is $1 - P(\text{all not blue}) = 1 - (0.77)^{num_selections} = 0.543.$