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What percent of data falls above Q1?
In a standard distribution, the first quartile (Q1) represents the 25th percentile of the data. This means that 25% of the data falls below Q1, and consequently, 75% of the data falls above Q1. Therefore, 75% of the data is above Q1.
10th std most likely questions?
IMPORTANT QUESTIONS IN SOCIAL STUDIES. Q1.WRITE THE DIFFERENCES BETWEEN GENERAL ELECTIONS AND BYE ELECTIONS? Q2.WHAT IS ECONOMIC PLANING? CHEMISTRY. Q1.DIFFERENCE BETWEEN DIAMOND AND GRAPHITE?
How does one find if any data points are an outlier on the high end of a distribution?
There is no formal definition of a outlier: it is a data point that is way out of line wit the remaining data set.If Q1 and Q3 are the lower and upper quartiles of the data set, then (Q3 - Q1) is the inter quartile range IQR. A high end outlier is determined by a value which is larger thanQ3 + k*IQR for some positive value k. k = 1.5 is sometimes used.
Write the Arden's method to convert an NFA to DFA with expression?
here first we looking on the given diagram and after this we select all the incoming input like in q1 all the input are q1=q2 0+ q1 1 or q2=q3 1 + q2 0 q1 is a state and when q2 sent 0 then its going to q1 so the value add into the q1 ok same in q2...
Procedure for calculating quartile deviation for raw data?
procedure: step 1: arrange your raw data in increasing order. step 2: find the Q1 is the size of the (n+1)/4th value. step 3: find the Q3 is the size of the 3(n+1)/4th value. Quartile Deviation(QD)= (Q3-Q1)/2 for example: 87 ,64,74,13,19,27,60,51,53,29,47 is the given data step 1: 13,19,27,29,47,51,53,60,64,74,87 step 2: (n+1)/4=3 therefore Q1=27 step 3: 3(n+1)/4=9 therefore Q3=6 implies QD=18.5
