The probability that students who were randomly selected studied for the test, if they pass it with a B or higher grade is: D. 0.80.
<h3>How to calculate the probability?</h3>
In this exercise, you're required to determine the probability that students who were randomly selected studied for the test, if they pass it with a B or higher grade. Thus, we would apply Bayes's theorem.
- Let S represent studied for.
- Let B represent a score of B or higher grade
Therefore, we need to find P(S|B):

S|B = 0.80.
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<u>Complete Question:</u>
At the beginning of the semester, a professor tells students that if they study for the tests, then there is a 55% chance they will get a B or higher on the tests. If they do not study, there is a 20% chance that they will get a B or higher on the tests. The professor knows from prior surveys that 60% of students study for the tests. The probabilities are displayed in the tree diagram.
Answer:
Explanation:
La tegnologia se va asiendo vija mientras nosotros crecermos en la edad. PERO sale nueva tegnologia y es por eso que desimos solo a lo nuevo.
Answer:
the answer should be 1.71
Explanation:
you just divide 18.81 by 11 and you get your answer
The probability that the sample mean would differ from the population mean by less than 655 miles in a sample of 79 tires if the manager is correct is = 0.9805.
<h3>
What is the calculation for the above?</h3>
P (
< 655) ≡ P [ |(
- μ)/√(σ²/n) | <655/√(6,220,036/ 79)]
= P (| Z | < 3.55)
= P - 3.55 < Z < 3.55) Using the z -score table
= 0.9998 - 0.0193
= 0.9805
Learn more about sample mean at:
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