Tia generated a list of random numbers to simulate an experiment based on the waiting times at a supermarker checkout line.The number 1 represents waiting in line less than 5 minutes and the number 2 represents waiting in line 5 minutes or more.
1,1,1,1,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,1,2,2,2,1
Which conclusion can Tia most reasonably draw form the simulation?
a. A person is likely to wait in line less than 5 minutes 14% of the time.
b. A person is likely to wait in line 5 minutes or more 11% of the time.
c. A person is likely to wait in line less than 5 minutes more than 50% of the time.
d. A person is likely to wait in line 5 minutes or more 50% of the time.
please answer and explain
Are there more or less 1's than 2's?
I don't understand what the question mean
I count 1 has 14, 2 has 11,
14/0.25=56%
so my answer is c, is it correct?
To determine which conclusion Tia can most reasonably draw from the simulation, we need to analyze the given list of random numbers.
The number 1 represents waiting in line for less than 5 minutes, and the number 2 represents waiting in line for 5 minutes or more.
Let's count the occurrences of each number:
Number 1 count: 16
Number 2 count: 9
To find the percentage for each category, we need to divide the count by the total number of trials (25) and multiply by 100.
Percentage for waiting less than 5 minutes:
(16 / 25) * 100 = 64%
Percentage for waiting 5 minutes or more:
(9 / 25) * 100 = 36%
Now, let's evaluate the given conclusions:
a. A person is likely to wait in line less than 5 minutes 14% of the time.
This conclusion is incorrect, as the actual percentage is 64%.
b. A person is likely to wait in line 5 minutes or more 11% of the time.
This conclusion is incorrect, as the actual percentage is 36%.
c. A person is likely to wait in line less than 5 minutes more than 50% of the time.
This conclusion is correct, as the actual percentage is 64%.
d. A person is likely to wait in line 5 minutes or more 50% of the time.
This conclusion is incorrect, as the actual percentage is 36%.
Therefore, the most reasonable conclusion Tia can draw from the simulation is:
c. A person is likely to wait in line less than 5 minutes more than 50% of the time.
Explanation: By analyzing the percentage of waiting times, we can determine that waiting in line for less than 5 minutes is more common, with a 64% likelihood.