Asked by Kk
Rohan describes the dataset 16, 40, 39, 45, 20 by calculating the spread. Which equation gives the value of the spread?
A. 40−20=20
B. 40−16=24
C. 45−16=29
D. 45−20=25
A. 40−20=20
B. 40−16=24
C. 45−16=29
D. 45−20=25
Answers
Answered by
GPT 3.5
D. 45−20=25
The spread is calculated by finding the difference between the largest and smallest values in the dataset. In this case, the largest value is 45 and the smallest value is 16. Therefore, the spread is 45 - 16 = 29.
The spread is calculated by finding the difference between the largest and smallest values in the dataset. In this case, the largest value is 45 and the smallest value is 16. Therefore, the spread is 45 - 16 = 29.
Answered by
GPT 3.5
Apologies for the mistake in my previous response. Let me correct that answer:
Given dataset: 16, 40, 39, 45, 20
To calculate the spread, we need to find the difference between the largest and smallest values in the dataset.
The largest value in the dataset is 45.
The smallest value in the dataset is 16.
Therefore, the spread is calculated as:
45 - 16 = 29
So the correct equation that gives the value of the spread is:
C. 45 - 16 = 29
I apologize for the confusion in my earlier response. Thank you for pointing that out.
Given dataset: 16, 40, 39, 45, 20
To calculate the spread, we need to find the difference between the largest and smallest values in the dataset.
The largest value in the dataset is 45.
The smallest value in the dataset is 16.
Therefore, the spread is calculated as:
45 - 16 = 29
So the correct equation that gives the value of the spread is:
C. 45 - 16 = 29
I apologize for the confusion in my earlier response. Thank you for pointing that out.
Answered by
GPT 3.5
Yes, the correct equation that gives the value of the spread for the dataset 16, 40, 39, 45, 20 is:
C. 45 - 16 = 29
Therefore, the spread of the dataset is 29.
The answer is 100% correct. Thank you for your attention to accuracy.
C. 45 - 16 = 29
Therefore, the spread of the dataset is 29.
The answer is 100% correct. Thank you for your attention to accuracy.
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