Problem 20
Question
In how many ways can a \( 12 \)-question true-false exam be answered? (Assume that no questions are omitted.)
Step-by-Step Solution
Verified Answer
The total number of ways the exam can be answered is \( 2^{12} \).
1Step 1: Identify the type of problem
This is a problem dealing with permutations and combinations. Since each question on the exam can be answered in two ways (true or false), and there are no restrictions or limitations, this becomes a problem of counting multiple possibilities (permutations) for each question.
2Step 2: Use the rule of multiplication
In combinatorics, the rule of multiplication states that if there are \( n \) ways to do one thing, and \( m \) ways to do another, then there are \( n \times m \) ways to do both. Here, for each question, there are 2 ways (true or false) to answer. So for 12 independent questions, the total number of ways to answer is \( 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \).
3Step 3: Calculate the number of ways
Simplify \( 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \) to get \( 2^{12} \). The number of ways a 12-question true-false exam can be answered is \( 2^{12} \).
Key Concepts
Permutations and CombinationsRule of MultiplicationTrue-False Exam Combinatorics
Permutations and Combinations
When exploring the paths of decision-making or arrangements in math, we enter the vivid land of permutations and combinations. These are tools that help us count the number of different ways in which a set of objects can be arranged or selected.
Permutations focus on the arrangement of items where the order is important, like arranging books on a shelf. Combinations, meanwhile, are about selection, where order doesn't matter, such as picking a team from a group of players.
For instance, if you need to determine the order for three different books on a shelf, you would calculate the permutations of those books. If you have the same three books but only wish to choose two to read, without caring about the order, you would calculate the combinations of picking two out of three.
Permutations focus on the arrangement of items where the order is important, like arranging books on a shelf. Combinations, meanwhile, are about selection, where order doesn't matter, such as picking a team from a group of players.
For instance, if you need to determine the order for three different books on a shelf, you would calculate the permutations of those books. If you have the same three books but only wish to choose two to read, without caring about the order, you would calculate the combinations of picking two out of three.
Rule of Multiplication
Dive deep into the pool of possibilities with the rule of multiplication, a fundamental principle in combinatorics. This rule is particularly handy when you are dealing with a sequence of choices or events that occur one after another.
If you have two events, where the first event can occur in n different ways and the second event in m different ways, the rule tells us you can have n × m total outcomes for both events together. It's like picking an outfit; if you have 3 shirts and 4 pairs of pants, you have a total of 3 shirts × 4 pants = 12 different outfits.
Importantly, this rule can be extended beyond two choices. If there's a third choice with p possibilities, the total number jumps to n × m × p. In the case of our true-false exam, each question independently gives you 2 choices, leading to the formula 2n, which greatly simplifies the multiplication for a larger number of questions.
If you have two events, where the first event can occur in n different ways and the second event in m different ways, the rule tells us you can have n × m total outcomes for both events together. It's like picking an outfit; if you have 3 shirts and 4 pairs of pants, you have a total of 3 shirts × 4 pants = 12 different outfits.
Importantly, this rule can be extended beyond two choices. If there's a third choice with p possibilities, the total number jumps to n × m × p. In the case of our true-false exam, each question independently gives you 2 choices, leading to the formula 2n, which greatly simplifies the multiplication for a larger number of questions.
True-False Exam Combinatorics
Now, let's apply our combinatorial toolbox to a concrete scenario: true-false exam combinatorics. An exam problem, quite like the one we are looking at, tests your understanding of how options multiply across various decisions—in this case, the truth value of each exam answer.
For every question in a true-false exam, there are two possible answers. The combinatorics comes into play as you calculate the total number of possible answer combinations for all questions together. By applying the rule of multiplication repeatedly for each independent question, you determine the power of choices that make up the full spectrum of possible exams.
By recognizing that each exam question behaves independently from the others, you can greatly simplify the counting process. Instead of listing out every individual combination, which would be tedious and time-consuming, the multiplication rule swiftly leads you to the answer of 212 for a 12-question exam.
For every question in a true-false exam, there are two possible answers. The combinatorics comes into play as you calculate the total number of possible answer combinations for all questions together. By applying the rule of multiplication repeatedly for each independent question, you determine the power of choices that make up the full spectrum of possible exams.
By recognizing that each exam question behaves independently from the others, you can greatly simplify the counting process. Instead of listing out every individual combination, which would be tedious and time-consuming, the multiplication rule swiftly leads you to the answer of 212 for a 12-question exam.
Other exercises in this chapter
Problem 19
In Exercises 9-32, write the first five terms of the sequence. (Assume that \( n \) begins with 1.) \( a_n = \dfrac{1 + (-1)^n}{n} \)
View solution Problem 20
In Exercises 15 - 20, find the probability for the experiment of tossing a coin three times. Use the sample space \( S = {HHH, HHT, HTH, HTT, THH, THT, TTH, TTT
View solution Problem 20
In Exercises 19 - 40, use the Binomial Theorem to expand and simplify the expression. \( \left(x + 1\right)^6 \)
View solution Problem 20
In Exercises 17 - 28, write the first five terms of the geometric sequence \( a_1 = 1, r = \dfrac{1}{3} \)
View solution