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Imagine you have a bag containing 15 marbles:
Solve for P(Red).
Imagine you have a standard deck of cards. What’s the probability of drawing a red face card?
Imagine you have a bag containing 15 marbles:
Solve for P(Green or Yellow).
What type of probability could we consider a sophomore trying out for the team?
| Freshman | Sophomore | Junior | Senior | ||
|---|---|---|---|---|---|
| Made Varsity | 2 | 3 | 8 | 9 | 22 |
| Made Junior Varsity | 8 | 12 | 3 | 0 | 23 |
| Got cut | 3 | 4 | 1 | 1 | 9 |
| 13 | 19 | 12 | 10 | 54 |
Solve for the probability of a sophomore trying out for the team.
| Freshman | Sophomore | Junior | Senior | ||
|---|---|---|---|---|---|
| Made Varsity | 2 | 3 | 8 | 9 | 22 |
| Made Junior Varsity | 8 | 12 | 3 | 0 | 23 |
| Got cut | 3 | 4 | 1 | 1 | 9 |
| 13 | 19 | 12 | 10 | 54 |
What type of probability could we consider a junior who made varsity?
| Freshman | Sophomore | Junior | Senior | ||
|---|---|---|---|---|---|
| Made Varsity | 2 | 3 | 8 | 9 | 22 |
| Made Junior Varsity | 8 | 12 | 3 | 0 | 23 |
| Got cut | 3 | 4 | 1 | 1 | 9 |
| 13 | 19 | 12 | 10 | 54 |
Solve for the probability of a junior making varsity.
| Freshman | Sophomore | Junior | Senior | ||
|---|---|---|---|---|---|
| Made Varsity | 2 | 3 | 8 | 9 | 22 |
| Made Junior Varsity | 8 | 12 | 3 | 0 | 23 |
| Got cut | 3 | 4 | 1 | 1 | 9 |
| 13 | 19 | 12 | 10 | 54 |
What type of probability could we consider a student making junior varsity, given they’re a freshman?
| Freshman | Sophomore | Junior | Senior | ||
|---|---|---|---|---|---|
| Made Varsity | 2 | 3 | 8 | 9 | 22 |
| Made Junior Varsity | 8 | 12 | 3 | 0 | 23 |
| Got cut | 3 | 4 | 1 | 1 | 9 |
| 13 | 19 | 12 | 10 | 54 |
Solve for the probability of a student making junior varsity, given they’re a freshman.
| Freshman | Sophomore | Junior | Senior | ||
|---|---|---|---|---|---|
| Made Varsity | 2 | 3 | 8 | 9 | 22 |
| Made Junior Varsity | 8 | 12 | 3 | 0 | 23 |
| Got cut | 3 | 4 | 1 | 1 | 9 |
| 13 | 19 | 12 | 10 | 54 |
During career fair, Company XYZ noticed a trend in the attire of applicants. They reported that 60% of students who wore glasses to the interview were offered an internship, while only 25% of students who did not wear glasses received an offer. Additionally, the recruiters observed that 35% of the applicants wore glasses to their interviews.
Select the correct probability tree to represent this.
During career fair, Company XYZ noticed a trend in the attire of applicants. They reported that 60% of students who wore glasses to the interview were offered an internship, while only 25% of students who did not wear glasses received an offer. Additionally, the recruiters observed that 35% of the applicants wore glasses to their interviews.
Solve for the probability of a student not receiving an offer, given they didn’t wear glasses.
During career fair, Company XYZ noticed a trend in the attire of applicants. They reported that 60% of students who wore glasses to the interview were offered an internship, while only 25% of students who did not wear glasses received an offer. Additionally, the recruiters observed that 35% of the applicants wore glasses to their interviews.
Solve for the probability of a student not wearing glasses and not receiving an offer.
Your campus coffee shop recorded 25,000 transactions last month. 7,500 of all transactions included a latte. Out of those latte transactions, 3,000 included a bagel (out of 4,000 transactions that included a bagel).
Solve for the support of “(Latte) -> (Bagel)”.
Your campus coffee shop recorded 25,000 transactions last month. 7,500 of all transactions included a latte. Out of those latte transactions, 3,000 included a bagel (out of 4,000 transactions that included a bagel).
Solve for the confidence of “(Latte) -> (Bagel)”.
Your campus coffee shop recorded 25,000 transactions last month. 7,500 of all transactions included a latte. Out of those latte transactions, 3,000 included a bagel (out of 4,000 transactions that included a bagel).
Solve for the lift ratio of “(Latte) -> (Bagel)”.
Your campus coffee shop recorded 25,000 transactions last month. 7,500 of all transactions included a latte. Out of those latte transactions, 3,000 included a bagel (out of 4,000 transactions that included a bagel).
Is there an association between lattes and bagels?
