Answer:
you offered 13 points not 25
Answer:
91.30% probability that they have followed the professor's study recommendation
Step-by-step explanation:
Bayes Theorem:
Two events, A and B.
In which P(B|A) is the probability of B happening when A has happened and P(A|B) is the probability of A happening when B has happened.
In this question:
Event A: Student earned a C or better.
Event B: Student followed the professor's study recommendation.
70% of the students are following this recommendation.
This means that
A statistics professor has found that a student who studies 90 minutes each day has a probability of .9 of getting a grade of C or better
This means that
Probability of earning C or better.
90% of 70%(those who followed the study recommendations).
20% of 30%(those who did not follow the study recommendations. So
Find the probability that, if a student has earned a C or better, that they have followed the professor's study recommendation:
91.30% probability that they have followed the professor's study recommendation
9514 1404 393
Answer:
see attached
Step-by-step explanation:
(a) The graph is scaled by a factor of 2, and shifted up 1 unit. The scaling moves each point away from the x-axis by a factor of 2. The points on the x-axis stay there. The translation moves that scaled figure up 1 unit.
__
(b) The graph is reflected across the x-axis and shifted right 4 units. The point on the x-axis stays on the x-axis.