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?
Determine whether the lines
L₁ (t) = (-2,3, −1)t + (0,2,-3) and
L2 p(s) = (2, −3, 1)s + (-10, 17, -8)
intersect. If they do, find the point of intersection.
Convert the line given by the parametric equations y(t)
Enter the symmetric equations in alphabetic order.
(x(t)
= -4+6t
= 3-t
(z(t)
=
5-7t
to symmetric equations.
Find the point at which the line (t) = (4, -5,-4)+t(-2, -1,5) intersects the xy plane.
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Introduction to experimental design and analysis of variance (ANOVA); Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=vSFo1MwLoxU;License: Standard YouTube License, CC-BY