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?
Consider the following system of equations, Ax=b :
x+2y+3z - w = 2
2x4z2w = 3
-x+6y+17z7w = 0
-9x-2y+13z7w = -14
a. Find the solution to the system. Write it as a parametric equation. You can use a
computer to do the row reduction.
b. What is a geometric description of the solution? Explain how you know.
c. Write the solution in vector form?
d. What is the solution to the homogeneous system, Ax=0?
2. Find a matrix A with the following qualities
a. A is 3 x 3.
b. The matrix A is not lower triangular and is not upper triangular.
c. At least one value in each row is not a 1, 2,-1, -2, or 0
d. A is invertible.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, calculus and related others by exploring similar questions and additional content below.
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