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Unit 15: Probability and Statistics

Counting outcomes, weighing chance events, and describing how a whole batch of data spreads out around its center.

9 topics · 35 questions

Each topic is a path, not a menu: work down it in order and every question builds on the one above. Click any of them to watch the answer draw itself.

The Fundamental Counting Principle

  1. How it worksHow does multiplying the number of choices at each stage count every possible outcome without listing them?
  2. Worked exampleFind how many different license plates are possible with 3 letters followed by 4 digits.
  3. Common mistakeWhy doesn't the counting principle add the number of choices at each stage instead of multiplying them?
Your turn1 of 2
Find how many different license plates are possible with 4 letters followed by 4 digits.

Permutations

  1. How it worksHow does the permutation formula account for having fewer choices left at each step?
  2. Worked exampleFind how many ways 4 runners can finish first, second, and third in a race of 8 runners.
  3. Common mistakeWhy isn't a permutation the same thing as a combination?
  4. Going furtherWhat happens to a permutation count when some of the items being arranged are actually identical to each other?
Your turn1 of 2
Find how many ways 3 runners can finish first, second, and third, out of a race of 15 runners.

Combinations

  1. How it worksHow does dividing a permutation by the number of ways to reorder the chosen group produce a combination?
  2. Worked exampleFind how many different 5 person committees can be formed from a group of 12 people.
  3. Common mistakeWhy does order not matter in a combination the way it matters in a permutation?
  4. Ties togetherHow does a combination come from a permutation once you divide out the orderings that no longer matter?
Your turn1 of 2
Find how many different 5 person committees can be formed from a group of 24 people.

Probability of Compound Events

  1. How it worksHow does multiplying two probabilities together find the chance that both independent events occur?
  2. Worked exampleFind the probability of rolling a 6 on a die and then flipping heads on a coin.
  3. Common mistakeWhy can't the probability of A or B always be found by just adding the probability of A and the probability of B?
Your turn1 of 2
Find the probability of rolling a specific number on a fair 15-sided die and then flipping heads on a fair coin.

Conditional Probability

  1. How it worksHow does dividing by the probability of the known event narrow the sample space down to a conditional probability?
  2. Worked exampleFind the probability that a card drawn from a deck is a king, given that it is known to be a face card.
  3. Common mistakeWhy isn't the probability of A given B the same as the probability of B given A?
  4. Going furtherWhat happens to a conditional probability calculation when the two events turn out to be independent?
Your turn1 of 2
Given that a card drawn from a group of 17 face cards is known to be a face card, and 4 of those face cards are kings, find the probability that it is a king.

The Binomial Theorem

  1. How it worksHow do combinations generate every coefficient in the expansion of a binomial raised to a power?
  2. Worked exampleFind the expansion of (x + 2)4 using the binomial theorem.
  3. Common mistakeWhy doesn't (x + y)n expand into just xn plus yn?
  4. Going furtherWhat happens to the signs in a binomial expansion when you expand (x - y) to a power instead of (x + y)?
  5. Ties togetherHow do the coefficients in the binomial theorem come directly from n choose k combinations?
Your turn1 of 2
Find the coefficient of x2 in the expansion of (x + 7)4.

Binomial Probability

  1. How it worksHow does the binomial probability formula combine combinations with repeated multiplication to count successes?
  2. Worked exampleFind the probability of getting exactly 3 heads in 5 flips of a fair coin.
  3. Common mistakeWhy doesn't the most likely outcome of many coin flips have to be exactly half heads and half tails?
  4. Ties togetherHow does binomial probability combine the combination count from the binomial theorem with multiplying independent probabilities?
Your turn1 of 2
Find the probability of getting exactly 2 heads in 8 flips of a fair coin.

Mean, Variance, and Standard Deviation of a Data Set

  1. How it worksHow does squaring each deviation from the mean before averaging them produce the variance of a data set?
  2. Worked exampleFind the mean and standard deviation of the data set 4, 8, 6, 5, 7.
  3. Common mistakeWhy doesn't a standard deviation of zero mean something went wrong with the data?
Your turn1 of 2
Find the mean of the data set 14, 13, 19, 6, 2.

The Normal Distribution

  1. How it worksHow do the mean and standard deviation of a normal distribution control its center and its spread?
  2. Worked exampleFind the percent of data falling within 2 standard deviations of the mean using the 68-95-99.7 rule.
  3. Common mistakeWhy doesn't every roughly symmetric, bell-shaped set of data automatically count as normally distributed?
  4. Going furtherWhat happens to the 68-95-99.7 percentages when a data set is only roughly, not perfectly, bell-shaped?
  5. Ties togetherHow does the normal distribution's spread connect to the standard deviation of the underlying data set?
Your turn1 of 2
A normal distribution has mean 73 and standard deviation 13. Using the 68-95-99.7 rule, find the upper bound of the range containing 95% of the data (within 2 standard deviations of the mean).