Hullian learning model. The Hullian learning model asserts that the probability p of mastering a task after t learning trials is approximated by p ( t ) = 1 − e − k t , where k is a constant that depends on the task to be learned. Suppose a new dance is taught to an aerobics class. For this particular dance, assume k = 0.28 . a. What is the probability of mastering the dance in 1 trial? 2 trial? 5 trials? 11 trials? 16 trials? 20 trials? b. Find the rate of change, p ' ( t ) . c. Sketch a graph of the function.
Hullian learning model. The Hullian learning model asserts that the probability p of mastering a task after t learning trials is approximated by p ( t ) = 1 − e − k t , where k is a constant that depends on the task to be learned. Suppose a new dance is taught to an aerobics class. For this particular dance, assume k = 0.28 . a. What is the probability of mastering the dance in 1 trial? 2 trial? 5 trials? 11 trials? 16 trials? 20 trials? b. Find the rate of change, p ' ( t ) . c. Sketch a graph of the function.
Solution Summary: The author calculates the probability of mastering a new aerobics dance after 1trial.
Hullian learning model. The Hullian learning model asserts that the probability p of mastering a task after t learning trials is approximated by
p
(
t
)
=
1
−
e
−
k
t
,
where k is a constant that depends on the task to be learned. Suppose a new dance is taught to an aerobics class. For this particular dance, assume
k
=
0.28
.
a. What is the probability of mastering the dance in 1 trial? 2 trial? 5 trials? 11 trials? 16 trials? 20 trials?
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