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The median of a data set is the number that is literally in the middle.
For example:
The median of the number set 1,1,3,4,7, is 3 because it is in the physical middle of the set of numbers.
Note: To find a median, the numbers MUST be in written in order
the median of 2,6,3, is not 6. You must rearrange them like: 2,3,6 and we can see 3 is the median
What else can I help you with?
What are the advantages and disadvantages of median?
Median cannot be used for qualitative data (a mode can).The sampling distribution of the median is complicated (the mean is well studied).Median can usually be used for data that can be ordered without there being a ratio scale. For example, "small-medium-large", or "very negative-negative-neutral-positive-very positive". A mean cannot be calculated without arbitrarily assigning a numerical value to the terms.A median is not dependent on all the values which means that it is not distorted by outliers (extreme values).It is easy to find the median value from cumulative frequency charts.
The middle value or average of the two middle values in a data set is?
The median.
What is the formula for getting the median of the ungrouped data?
You will need to put the un-grouped data in ascending or descending order. If you have an odd number of data values the formula for the median value is (n+1)/2. Example my data in ascending order is 0, 2, 4, 5, 7, 8, 9. I have 7 data values. The median is the value (7+1)/2 = 4th value from left or right which is 5. For an even number of data values, you will need to calculate the median and it may not be a data value. It will be the mean of the two center values. Use the formula n/2 to get the left most value. Example my data in ascending order is 0, 2, 4, 5, 7, 8. I have 6 data values. The left most value I will use to calculate the median is 6/2 = 3rd. The 3rd value from the left is 4. The next value is 5. Median is (4+5)/2 = 4.5.
In any data set are the median and mean usually very similar in value?
yes they are if you have 0 and 10 the mean is 5 and so is the median. The mean and the median can in fact be the same value. But basically to answer your question, One possible way is that if the values are ascending by 1 in the data set, then the number of values left to the median should be the same as the number of values right to the median. e.g. 6+7+8+9+10 6,7 = 2 terms 9,10 = 2 terms median =8 mode = 8
What do you do when the median is two numbers?
For an even number of values, there will be 2 middle numbers. Take the average of the 2 middle numbers for the median. It will be a value not in the data set.
The middle values in a data set?
Median
What are the middle values in a data set?
the median
What is the middle value or average of the two middle values in a data set?
The middle value in a data set is the median. If there are an even number of values in the set, you average the middle two values to get the median.
Is the mean equal to the median in a data set consisting of 1000 values that are all different?
If a data set consists of 1000 different values can the mean and the median be the same
Can a data set have more than one median?
No, a data set cannot have more than one median. The median is defined as the middle value of a sorted data set, or the average of the two middle values if the data set has an even number of observations. While a data set can have repeated values, the median itself remains a single value that represents the central tendency of the data.
Why it is useful to fiNd the meaN mediaN aNd mode of a set of data?
when there are extreme values in the data
Can the mean be smaller than the median for a set of data?
Yes. If the lower values tend to be farther below the median than the highest values are above the median, the mean is smaller than the median. why are write wrong
What is the significance of the median value for a set of data?
It is halfway along the distribution of set values. There are as many members of the set with values smaller than the median as there are with values bigger than it.
What are the advantages and disadvantages of median?
Median cannot be used for qualitative data (a mode can).The sampling distribution of the median is complicated (the mean is well studied).Median can usually be used for data that can be ordered without there being a ratio scale. For example, "small-medium-large", or "very negative-negative-neutral-positive-very positive". A mean cannot be calculated without arbitrarily assigning a numerical value to the terms.A median is not dependent on all the values which means that it is not distorted by outliers (extreme values).It is easy to find the median value from cumulative frequency charts.
Median of a data is 20 If each is obesrvation in the data is increased by 2 then what is the new median. Need descriptive answer?
The median of a set of values or data is the value which lies half-way along the series when it is arranged in ascending or descending order. If there are an even number of data entries then the median is the mean of the middle two values. 1) If there are an odd number of values then there will be the same number of values higher than the median as there are below the median. An increase of 2 to each member of the set does not affect the order and the existing median remains the middle placed value So, 20 becomes 22. 2) Where there are an even number of values then both middle values will increase by 2 (a total increase of 4). The median is the mean of these two values and therefore increases by 2 (as the increase of 4 ÷ 2 = 2). So, 20 becomes 22.
Definition of mean median and mode?
Mean is the average of the data set values. Median is the middle number in the data set (set up in ascending or descending order). Mode is the data value (or values) that occur the most number of times.
Why is the median more robust for extreme values?
The median is the middle of average of the middle two values from the ordered set of observations. If the extreme values are genuine then they will have no effect on the median. If they are incorrectly measured or recorded data then they may affect the position of the middle of the ordered set of data. However, since there can only be a small number of outliers, their effect on the median will be small.
