The mean of the 10th and 11th values
The mean of the 6th and 7th values
The mean of the 3rd and 4th values
The mean of the 19th and 20th values
In order of smallest to largest, 2,357 In opposite order the highest number would be 7,532.
The idea when using quartiles is take all your data and write it out in increasing order then divide it in 4 equal parts.The upperquartile is the part containing the highest data values, the uppermiddle quartile is the part containing the next-highest data values,the lower quartile is the part containing the lowest data values,while the lower middle quartile is the part containing the next-lowest data values.Here is the catch-------------- the terms can also refer to cut-off values between the 4 sets.The term 'upper quartilevcan becut-off value between the upper quartile subset and the upper middlequartile subset. And, the 'lower quartile' can refer to a cut-off value between the lower quartile setand the lower middle quartile set. usually we look at the interquartile range (IQR) which is the range between the thrird and 1st quartileIQR is used to make box plots and other cool graphs.The upper quartile (Q3) is the median of the upper half of the data set. Q3 cuts off highest 25% of data And just FYI: first quartile (designated Q1) = lower quartile = cuts off lowest 25% of data = 25th percentile second quartile (designated Q2) = median = cuts data set in half = 50th percentile
The mean of the 6th and 7th values
The mean of the 3rd and 4th values
The mean of the 19th and 20th values
The mean of the 6th and 7th values
lower quartile = 1/4(n+1) upper quartile = 3/4(n+1) where n is the number of the values. Obviously the values have to be ordered from the lower to the higher: the number you'll get is the position in this order. Let's say you get 4 for your lower quartile, it means that the 4th value is your lower quartile.
One can define an upper quartile for a population and a upper quartile for a sample.Population: Let X be a random variable. The the upper population quartile is the value, x, for which Prob { X
first you take a group of numbers and order them from smallest to largest next you find the median or the quartile2 then you find quartile1 and 3 then you subtract quartile 1 and 3 then you have your answer :)
It's a type of average. It's the middle value from your list of values, once they are put into order from smallest to largest.
From smallest to largest is known as putting data in ascending order.
In order from smallest to largest these are arranged: 0.02 0.19 0.2
Asia, Africa, South America. that is the order from largest to smallest.
Yes. In the field of "ordered statistics" it makes no difference if data is ranked smallest to highest or vice-versa, but the convention is to consider rank = 1 the smallest value and rank = m the largest value of m values.