Thousands of jokes have been told about marriage and divorce. Exercises 61-68 are based on the following observations:
• "By all means, marry; if you get a good wife, you'll be happy. If you get a bad one, you’ll become a philosopher. "—Socrates
• "My wife and I were happy for 20 years. Then we met." — Rodney Dangerfield
• "Whatever you may look like, marry a man your own age. As your beauty fades, so will his eyesight."—Phyllis Diller
• "Why do Jewish divorces cost so much? Because they're worth it.'— Henny Youngman
• "I think men who have a pierced ear are better prepared for marriage. They've experienced pain and bought jewelry." — Rita Rudner
• 'For a while we pondered whether to take a vacation or get a divorce. We decided that a trip to Bermuda is over in two weeks, but a divorce is something you always have."— Woody Allen
In how many ways can people select their two favorite jokes from these thoughts about marriage and divorce?
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FD - THINKING MATHEMATICALLY MYMATHLAB
- The graph of f(x) is given below. Select all of the true statements about the continuity of f(x) at x = -1. 654 -2- -7-6-5-4- 2-1 1 2 5 6 7 02. Select all that apply: ☐ f(x) is not continuous at x = -1 because f(-1) is not defined. ☐ f(x) is not continuous at x = −1 because lim f(x) does not exist. x-1 ☐ f(x) is not continuous at x = −1 because lim ƒ(x) ‡ ƒ(−1). ☐ f(x) is continuous at x = -1 J-←台arrow_forwardLet h(x, y, z) = — In (x) — z y7-4z - y4 + 3x²z — e²xy ln(z) + 10y²z. (a) Holding all other variables constant, take the partial derivative of h(x, y, z) with respect to x, 2 h(x, y, z). მ (b) Holding all other variables constant, take the partial derivative of h(x, y, z) with respect to y, 2 h(x, y, z).arrow_forwardints) A common representation of data uses matrices and vectors, so it is helpful to familiarize ourselves with linear algebra notation, as well as some simple operations. Define a vector ♬ to be a column vector. Then, the following properties hold: • cu with c some constant, is equal to a new vector where every element in cv is equal to the corresponding element in & multiplied by c. For example, 2 2 = ● √₁ + √2 is equal to a new vector with elements equal to the elementwise addition of ₁ and 2. For example, 問 2+4-6 = The above properties form our definition for a linear combination of vectors. √3 is a linear combination of √₁ and √2 if √3 = a√₁ + b√2, where a and b are some constants. Oftentimes, we stack column vectors to form a matrix. Define the column rank of a matrix A to be equal to the maximal number of linearly independent columns in A. A set of columns is linearly independent if no column can be written as a linear combination of any other column(s) within the set. If all…arrow_forward
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