For data -1, 1, 4, 3, 8, 12, 17, 19, 9, 11; if M is the median of first 5 observations and N is the median of last five observations, then what is the value of 4M - N ?
0
The problem asks us to find the value of the expression \(4M - N\), where \(M\) is the median of the first five observations and \(N\) is the median of the last five observations from a given dataset.
The given data set is: -1, 1, 4, 3, 8, 12, 17, 19, 9, 11.
The first 5 observations are: -1, 1, 4, 3, 8.
To find the median, we must first arrange these observations in ascending order.
Since there are 5 observations (an odd number), the median is the middle value in the sorted list. The middle value is the 3rd observation.
Therefore, M = 3.
The last 5 observations are: 12, 17, 19, 9, 11.
To find the median, we must first arrange these observations in ascending order.
Since there are 5 observations (an odd number), the median is the middle value in the sorted list. The middle value is the 3rd observation.
Therefore, N = 12.
Now we need to evaluate the expression \(4M - N\) using the values of M and N we found.
Substitute these values into the expression:
\(4M - N = 4 \times 3 - 12\)
Perform the multiplication:
\(4 \times 3 = 12\)
Now substitute this back into the expression:
\(12 - 12\)
Perform the subtraction:
\(12 - 12 = 0\)
So, the value of \(4M - N\) is 0.
Let's summarize the steps:
The calculation confirms the result is 0.
| Concept | Description | How to Calculate (for a list of numbers) |
|---|---|---|
| Median | The middle value in a dataset that is ordered from least to greatest. It is a measure of central tendency. | 1. Arrange data in ascending order. 2. If number of observations (n) is odd, median is the \(\left(\frac{n+1}{2}\right)^{\text{th}}\) value. 3. If number of observations (n) is even, median is the average of the \(\left(\frac{n}{2}\right)^{\text{th}}\) and \(\left(\frac{n}{2}+1\right)^{\text{th}}\) values. |
Understanding terms like median, mean, and mode is fundamental in data analysis and statistics. These are all measures of central tendency, helping us understand the typical value in a dataset.
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