This activity involves binomial trials, distributions, and probabilities. Students can create the binomial distribution following the steps in Binomial_Pdf_Eye_Color_Create-84 document.

Students use a simulation to find the experimental probability of independent events.

Students will calculate the experimental probability of winning a basketball game by shooting two free-throws using a random integer simulation.

Students compute sample spaces for coin flips, find the various probabilities associated, and graph the probabilities using the calculator.

Students study the characteristics of the F distribution and discuss why the distribution is not symmetric (skewed right) and only has positive values.

Students simulate a geometric distribution of rolling a die to determine experimental probabilities and calculate theoretical probabilities.

Students explore Bernoulli Probabilities. They will use them to calculate the probabilities of various single and cumulative events.

Students will be introduced to two-way tables by calculating marginal and conditional distributions using formulas in a spreadsheet.

Students use a tree diagram to find theoretical probabilities and use this information with lists to find the expected value.

Students simulate a binomial distribution and calculate probabilities for a variety of situations involving binomial probability distributions.

In this activity, students use the random integer (randInt) command to simulate probability experiments. They also graph the number of trials and corresponding probabilities to observe the Law of Large Numbers. Simulated experiments involve tossing a coin, spinning a spinner, and observing the sex of children in a family.

Students use the RandInt() command to simulate the tossing of a coin and the rolling of a die. They will collect data for several trials and use the information to investigate the Law of Large Numbers.

Students investigate the fundamental counting principle, permutations, and combinations.