214
By definition yes. The median is the number which is exactly in the middle of a set of numbers. The first quartile is the point where 25% of the numbers are to the left, and 75% of the numbers are to the right.
You would first need to know the amounts of each quartile. Then use your formula to place the numbers inside.
The lower quartile.
first quartile (Q1) : Total number of term(N)/4 = Nth term third quartile (Q3): 3 x (N)/4th term
83
By definition yes. The median is the number which is exactly in the middle of a set of numbers. The first quartile is the point where 25% of the numbers are to the left, and 75% of the numbers are to the right.
values that divide a list of numbers into quaters is called a quartile.
242 is the first quartile. 347 is the third quartile.
You would first need to know the amounts of each quartile. Then use your formula to place the numbers inside.
The first quartile, or the lower quartile, is the value such that a quarter of the observations are smaller and three quarters are larger.The third quartile, or the upper quartile, is the value such that three quarters of the observations are smaller and a quarter are larger.
the IQR is the third quartile minus the first quartile.
If this is the only information you have, the answer would be somewhere around 125. Usually, you would find the third quartile by first finding the median. Then find the median of all of the numbers between the median and the largest number, which is the third quartile.
To find the upper quartile (Q3) of the dataset, first, arrange the numbers in ascending order, which they already are. The upper quartile is the median of the upper half of the data. In this case, the upper half consists of the numbers 110, 115, 120, 125, 130, 135. The median of these values is the average of the third and fourth numbers (120 and 125), which is (120 + 125) / 2 = 122.5. Thus, the upper quartile is 122.5.
To solve for the quartile deviation, first calculate the first quartile (Q1) and the third quartile (Q3) of your data set. The quartile deviation is then found using the formula: ( \text{Quartile Deviation} = \frac{Q3 - Q1}{2} ). This value represents the spread of the middle 50% of your data, providing a measure of variability.
50%
The lower quartile.
A Five number summary is the minimum, quartile 1, median, quartile 3, and maximum of the data. (numbers)