Step 1 :The formula for binomial probability is: \(P(x) = C(n, x) * (p^x) * ((1-p)^{n-x})\)
Step 2 :For part (c), we need to find \(P(x<4)\), which is the sum of \(P(0)\), \(P(1)\), \(P(2)\), and \(P(3)\).
Step 3 :Calculate \(P(0) = C(10, 0) * (0.63^0) * ((1-0.63)^{10-0}) = 1 * (1) * (0.37^{10}) = 0.00014\)
Step 4 :Calculate \(P(1) = C(10, 1) * (0.63^1) * ((1-0.63)^{10-1}) = 10 * (0.63) * (0.37^{9}) = 0.00137\)
Step 5 :Calculate \(P(2) = C(10, 2) * (0.63^2) * ((1-0.63)^{10-2}) = 45 * (0.63^2) * (0.37^{8}) = 0.00675\)
Step 6 :Calculate \(P(3) = C(10, 3) * (0.63^3) * ((1-0.63)^{10-3}) = 120 * (0.63^3) * (0.37^{7}) = 0.02077\)
Step 7 :Adding these probabilities together will give us \(P(x<4)\).
Step 8 :Calculate \(P(x<4) = P(0) + P(1) + P(2) + P(3) = 0.00014 + 0.00137 + 0.00675 + 0.02077 = 0.02903\)
Step 9 :\(\boxed{P(x<4) = 0.02903}\), so the probability that less than four U.S. adults have very little confidence in newspapers is approximately 0.029 or 2.9%.