Two-Step Experiments
Information
- A two-step experiment can be visualised using a tree diagram. You can find an example on OneNote.
- In a tree diagram, it starts from “Start” and each step is a column of outcomes.
- The sample space is composed of the combined probabilities of each result.
- For example, in an experiment that flips two coins,
With Replacement
- Two-step experiments can have outcomes that can be replaced.
- This means that an outcome can be repeated.
- The probability of the outcomes will also stay the same.
KICK (With Replacement)
The letters are chosen from the word KICK.
- (A tree diagram can be found on OneNote.)
- In a scenario where the experiment is with replacement, the probabilities will not change.
- The sample space will be {KK, KI, KC, IK, II, IC, CK, CI, CC}.
- The probability of K is .
- The probability of I is .
- The probability of C is .
- Here’s a few probability questions based on this experiment.
Without Replacement
- Two step experiments can have outcomes that cannot be replaced.
- This means that an outcome cannot be repeated.
- The probability of outcomes will change depending on the remaining outcomes.
KICK (Without Replacement)
The letters are chosen from the word KICK.
- (A tree diagram can be found on OneNote.)
- In a scenario where the experiment is with replacement, the probabilities will not change.
- The sample space will be {KK, KI, KC, IK, II, IC, CK, CI, CC}.
- In the first step, the outcomes of K, I, C are the same as the example With Replacement.
- In the second step, the outcomes of K, I, and C are reduced.
- If the outcome of the first step was K …
- The probability of K is now .
- The probability of I is now .
- The probability of C is now .
- If the outcome of the first step was I …
- The probability of K is now .
- The probability of C is now .
- If the outcome of the first step was C …
- The probability of K is now .
- The probability of I is now .
- To find the probability of the results, you must combine the outcomes of the two steps. Refer to the initial information.
- Here’s a few probability questions based on this experiment.
- To get , you combine the outcomes of KK, KI, KC, IK, and CK.