Solve the problem.Given that P(A) = 0.5, P(A ? B) = 0.6, and P(A ? B) = 0.29, find P(B).
A. 0.10
B. 0.68
C. 0.39
D. 0.21
Answer: C
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Solve the problem.The following table shows the bumping rate per 10, 000 passengers for Airline X from 1994 through 1998. Use regression to find a quadratic function b(x) that can be used to predict the bumping rate x years after 1994. (Round decimals to four places.)
A. b(x) = 0.1235x2 - 0.6927x + 1.7109 B. b(x) = -0.1664x2 - 0.6927x + 1.2109 C. b(x) = 0.1664x2 - 0.6927x + 1.7109 D. b(x) = 0.1235x2 - 0.6535x + 1.2109
Determine whether the relation represents a function. If it is a function, state the domain and range.
A. function domain:{18, 30, 42, 54} range: {3, 5, 7, 9} B. not a function C. function domain: {3, 5, 7, 9} range: {18, 30, 42, 54}
Change the logarithmic expression to an equivalent expression involving an exponent.ln x = 3
A. e3 = x B. ex = 3 C. x3 = e D. 3e = x
Fill in the blank. Then write an addition problem with addends and the sum that describes the situation.A loss of $2 followed by a loss of $7 results in a 
.
A. loss of $9; -2 + (-7) = -9 B. gain of $9; -2 + (-7) = -9 C. gain of $9; 2 +7 = 9 D. loss of $9; 2 +7 = 9