All Algebra II Resources
Example Question #1 : Binomial Theorem
Assume that you guess on each question of a multiple choice test. There are 12 questions and each question has 4 possible answers. What is the probability of getting exactly 8 answers correct?
This problem can be solved using the binomial probability equation:
Example Question #2 : Binomial Theorem
What is the coefficient of if the expression is expanded?
By the Binomial Theorem, if the expression is expanded, the result can be defined as
If we set , then the above expression, with slight rearranging, becomes
The coefficient of the term is
To find the the coefficient of , we set and evaluate:
Example Question #3 : Binomial Theorem
What is the coefficient of in the polynomial
The binomial theorem says that we can represent the polynomial as a sum
Thus, if we want to find the coefficient of ,
Therefore the coefficient of is
Example Question #4 : Binomial Theorem
You're taking a multiple choice quiz that has questions. If each question has choices and you guess on all of them, what is the probability of getting exactly questions correct?
This question requires the application of the binomial theorem for probability. In order to determine the probability of getting exactly 6 questions right, we must remember the formula for this theorem:
Where is the number of trials (total questions), is the number of successes (correct answers), is the probability of success in one trial (chance of answering a question correctly), is the probability of failure in one trial (chance of answering a question incorrectly), and is the probability of getting questions correct out of total questions. Because there are 5 choices for each question, the chances of answering a question correctly are 1/5, or 0.2, and therefore the chances of answering a question incorrectly are 4/5, or 0.8. Now we have all of our values and can plug them into the formula:
The first part of the formula in which we have a 10 over a 6 in parentheses means we perform the following calculation:
So now we can put this value into our formula, which gives us:
Example Question #5 : Binomial Theorem
Which is equivalent to ?
To answer this question, you could either multiply , or use binomial theorem to realize that when a binomial is raised to the 4th power.
Multiplying out and FOILing the polynomials we gety the following,
Example Question #6 : Binomial Theorem
A fair coin is tossed 50 times. What is the expected number of heads?
The expected probably for the binomial distribution is n*p. N is the number of trials, in this case the 50 coin tosses. p is the probability of heads. Since the coin is a fair coin the probability is .
Example Question #7 : Binomial Theorem
A student takes a 12 question multiple choice test. There are 5 answer choices, and the student guesses on all the questions. What is the probability the student will get exactly 7 questions correct in order to pass? Round to 5 decimal places.
In order to determine the probability, we will need to use the binomial theorem.
The equation can be written in two ways:
Identify the definition and values for .
: represents the total number of trials
: represents the number of events
: represents the probability of occurrence per trial
: is the probability that the occurrence will not happen per trial
, , ,
Substitute the values into the formula.
The terms become:
Simplify the terms with calculator.
The answer is:
Example Question #8 : Binomial Theorem
Suppose Billy takes a 5 question multiple choice test that has 5 answer choices per question. What is the probability that Billy will get exactly four correct to pass the test?
Write the binomial formula.
Evaluate the probability.
The answer is:
Example Question #9 : Binomial Theorem
Suppose a competitor has to answer four out of six multiple choice questions correctly to win a prize. There are four answer choices per question. What is the probability that this competitor will succeed answering exactly four correct questions if he or she guessed on all the questions?
This problem requires the binomial theorem. Write the formula.
This formula can also be rewritten as:
Identify all the terms.
There are four answer choices per question, which means there is only one correct answer.
The failure rate would be three out of the four questions.
Substitute the terms into the formula and simplify the terms.
The answer is:
Example Question #10 : Binomial Theorem
A fair coin is tossed 10 times. What is the probability that four heads will be observed?
This is a binomial distribution with number of trials(n) equal to 10. The probability of success(p) is 0.5 because it is a fair coin. The number of success(r) is 4 because we want the probability of 4 heads.
The formula for a binomial distribution is