Question
The model Upper P equals StartFraction 0.9 x minus 0.3 Over 0.9 x plus 0.6 EndFraction
is a learning curve, where P is the proportion of correct responses after x trials. If Pequals0, there are no correct responses. If Pequals1, all responses are correct. The graph of the rational formula is shown below. How many learning trials are necessary for 0.94 of the responses to be correct? Identify your solution as a point on the graph.
0
2
4
6
8
10
12
14
16
18
20
0
0.2
0.4
0.6
0.8
1
1.2
Number of Learning Trials
Proportion of Correct Responses
A coordinate system has a horizontal x-axis labeled Number of Learning Trials from 0 to 20 in increments of 1 and a vertical P-axis labeled Proportion of Correct Responses from 0 to 1.2 in increments of 0.1. From left to right, a curve rises steeply at first, passing through point (1, 0.4), then rises at a decreasing rate passing through point (5, 0.82) before approaching an asymptote at P = 1. All coordinates are approximate.
.
.
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Question content area right
Part 1
1 learning trials
is a learning curve, where P is the proportion of correct responses after x trials. If Pequals0, there are no correct responses. If Pequals1, all responses are correct. The graph of the rational formula is shown below. How many learning trials are necessary for 0.94 of the responses to be correct? Identify your solution as a point on the graph.
0
2
4
6
8
10
12
14
16
18
20
0
0.2
0.4
0.6
0.8
1
1.2
Number of Learning Trials
Proportion of Correct Responses
A coordinate system has a horizontal x-axis labeled Number of Learning Trials from 0 to 20 in increments of 1 and a vertical P-axis labeled Proportion of Correct Responses from 0 to 1.2 in increments of 0.1. From left to right, a curve rises steeply at first, passing through point (1, 0.4), then rises at a decreasing rate passing through point (5, 0.82) before approaching an asymptote at P = 1. All coordinates are approximate.
.
.
.
Question content area right
Part 1
1 learning trials
Answers
GPT-4o mini
To find how many learning trials are necessary for the proportion of correct responses \( P \) to be 0.94, we need to solve the equation given by the learning curve model:
\[
P = \frac{0.9x - 0.3}{0.9x + 0.6}
\]
Setting \( P = 0.94 \):
\[
0.94 = \frac{0.9x - 0.3}{0.9x + 0.6}
\]
To eliminate the fraction, we can cross-multiply:
\[
0.94(0.9x + 0.6) = 0.9x - 0.3
\]
Expanding both sides, we get:
\[
0.846x + 0.564 = 0.9x - 0.3
\]
Now, let's rearrange the equation to isolate \( x \):
\[
0.846x + 0.564 + 0.3 = 0.9x
\]
\[
0.846x + 0.864 = 0.9x
\]
Subtracting \( 0.846x \) from both sides:
\[
0.864 = 0.9x - 0.846x
\]
\[
0.864 = 0.054x
\]
Now, divide both sides by \( 0.054 \):
\[
x = \frac{0.864}{0.054} \approx 16
\]
Thus, approximately **16 learning trials are necessary** for the proportion of correct responses to reach 0.94.
As a point on the graph, this is represented as:
\[
(16, 0.94)
\]
\[
P = \frac{0.9x - 0.3}{0.9x + 0.6}
\]
Setting \( P = 0.94 \):
\[
0.94 = \frac{0.9x - 0.3}{0.9x + 0.6}
\]
To eliminate the fraction, we can cross-multiply:
\[
0.94(0.9x + 0.6) = 0.9x - 0.3
\]
Expanding both sides, we get:
\[
0.846x + 0.564 = 0.9x - 0.3
\]
Now, let's rearrange the equation to isolate \( x \):
\[
0.846x + 0.564 + 0.3 = 0.9x
\]
\[
0.846x + 0.864 = 0.9x
\]
Subtracting \( 0.846x \) from both sides:
\[
0.864 = 0.9x - 0.846x
\]
\[
0.864 = 0.054x
\]
Now, divide both sides by \( 0.054 \):
\[
x = \frac{0.864}{0.054} \approx 16
\]
Thus, approximately **16 learning trials are necessary** for the proportion of correct responses to reach 0.94.
As a point on the graph, this is represented as:
\[
(16, 0.94)
\]