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The preceding dot plot shows the number of minutes 16 customers waited
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07 Nov 2021, 16:03
07 Nov 2021, 16:03
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Question Stats:
49% (02:04) correct
50% (01:39) wrong based on 55 sessions
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The preceding dot plot shows the number of minutes 16 customers waited in line at a coffee shop.
Quantity A |
Quantity B |
The interquartile range of data |
The range of data divided by 2 |
A) Quantity A is greater.
B) Quantity B is greater.
C) The two quantities are equal.
D) The relationship cannot be determined from the information given.
Re: The preceding dot plot shows the number of minutes 16 customers waited
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15 Nov 2021, 07:36
15 Nov 2021, 07:36
3
No of minutes for 16 customers are:
\(5, 5, 5, 6, 6, 8, 10, 10, 10, 10, 13, 13, 15, 15, 15, 19\)
Qt A
The Inter Quartile Range is called the mid-spread, middle \(50\)% (between \(25 - 75\) %tile).
Here the middle \(50\)% will be \(6, 6, 8, 10, 10, 10, 10, 13, 13, 15\)
Inter quartile Range \(= 15 - 6 = 9\)
Qt B
\(\frac{Range}{2} = \frac{19 - 5}{2} = 7\)
Qt A > Qt B
Answer A
\(5, 5, 5, 6, 6, 8, 10, 10, 10, 10, 13, 13, 15, 15, 15, 19\)
Qt A
The Inter Quartile Range is called the mid-spread, middle \(50\)% (between \(25 - 75\) %tile).
Here the middle \(50\)% will be \(6, 6, 8, 10, 10, 10, 10, 13, 13, 15\)
Inter quartile Range \(= 15 - 6 = 9\)
Qt B
\(\frac{Range}{2} = \frac{19 - 5}{2} = 7\)
Qt A > Qt B
Answer A
Re: The preceding dot plot shows the number of minutes 16 customers waited
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21 Nov 2021, 05:04
21 Nov 2021, 05:04
1
Inter Quartile Range
how to calculate ?
how to calculate ?
