The differential outcomes in the above is known to be the positive influence based on accuracy that took place in discrimination learning between the functions if unique rewards are said to be paired with each specific variable.
<h3>What is differential outcomes?</h3>
The differential outcome effect (DOE) is known to be a term that connote the increase in regards to the speed of getting and also of terminal accuracy that takes place in conditional discrimination learning if two or more stimuli are said to be correlated with a specific outcome.
Note that The differential outcomes in the above is known to be the positive influence based on accuracy that took place in discrimination learning between the functions if unique rewards are said to be paired with each specific variable.
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Answer:
Still no Line but oh well
Explanation:
Hi there!
a.
To find the total amount of people that have ENTERED by t = 20, we must take the integral of the appropriate function.

Evaluate using a calculator:

b.
To solve, we can find the total amount of people that have entered of the interval and subtract the total amount of people that have left from this value.
In other terms:

We can evaluate using a calculator (math-9 on T1-84):


c.
If:

Then:

Evaluate at t = 20:


This means that at t = 20, there is a <u>NET DECREASE</u> of people at the movie theater of around 20.823 (21) people per hour.
d.
To find the maximum, we must use the first-derivative test.
Set S(t) - R(t) equal to 0:

Graph the function with a graphing calculator and set the function equal to y = 0:
According to the graph, the graph of the first derivative changes from POSITIVE to NEGATIVE at t ≈ 17.78 hours, so there is a MAXIMUM at this value.
<u>Thus, at t = 17.78 hours, the amount of people at the movie theater is a MAXIMUM.</u>
It’s aLL of the above Bc it cramped