Vincent A. answered 10/20/24
Professional Tutor
To find the probability that a student who failed the course took the class online, we can use Bayes' theorem. Let's define the relevant variables:
- Let OOO be the event that a student took the online class.
- Let FFF be the event that a student failed the course.
We want to calculate P(O∣F)P(O | F)P(O∣F), the probability that a student took the online class given that they failed.
Step 1: Gather the information
- Failure Rates:
- For the online class:
- P(F∣O)=1125=0.44P(F | O) = \frac{11}{25} = 0.44P(F∣O)=2511=0.44
- For the face-to-face class:
- P(F∣Face-to-Face)=3350=0.66P(F | \text{Face-to-Face}) = \frac{33}{50} = 0.66P(F∣Face-to-Face)=5033=0.66
- Proportions of Classes Offered:
- Online: P(O)=0.21P(O) = 0.21P(O)=0.21
- Face-to-Face: P(Face-to-Face)=0.79P(\text{Face-to-Face}) = 0.79P(Face-to-Face)=0.79
Step 2: Calculate the total probability of failing the course, P(F)P(F)P(F)
Using the law of total probability:
P(F)=P(F∣O)⋅P(O)+P(F∣Face-to-Face)⋅P(Face-to-Face)P(F) = P(F | O) \cdot P(O) + P(F | \text{Face-to-Face}) \cdot P(\text{Face-to-Face})P(F)=P(F∣O)⋅P(O)+P(F∣Face-to-Face)⋅P(Face-to-Face)
Substituting the values:
P(F)=(0.44⋅0.21)+(0.66⋅0.79)P(F) = (0.44 \cdot 0.21) + (0.66 \cdot 0.79)P(F)=(0.44⋅0.21)+(0.66⋅0.79)
Step 3: Calculate P(O∣F)P(O | F)P(O∣F)
Using Bayes' theorem:
P(O∣F)=P(F∣O)⋅P(O)P(F)P(O | F) = \frac{P(F | O) \cdot P(O)}{P(F)}P(O∣F)=P(F)P(F∣O)⋅P(O)