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Q: What percent of your data lies between q1 and q3?
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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


What are outliers and how do they affect data?

Outliers are observations that are unusually large or unusually small. There is no universally agreed definition but values smaller than Q1 - 1.5*IQR or larger than Q3 + 1.5IQR are normally considered outliers. Q1 and Q3 are the lower and upper quartiles and Q3-Q1 is the inter quartile range, IQR. Outliers distort the mean but cannot affect the median. If it distorts the median, then most of the data are rubbish and the data set should be examined thoroughly. Outliers will distort measures of dispersion, and higher moments, such as the variance, standard deviation, skewness, kurtosis etc but again, will not affect the IQR except in very extreme conditions.

Related questions

Calculating quartile deviation for grouped and ungrouped data?

(q3-q1)/2


Can the median of the data set be the same as Q1 and Q3?

Yes. An example: the data set {1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 5} has median = Q1 = Q3 = 2.


What are interquartiles?

it is difference between the q1 and q3.


How do you find q1?

In order to find Q1, you must first find Q2. Q2 is the median, or middle, for the entire set of given data. If the data set is 1, 2, 2, 3, 3, 4, 4 ,4, 5, 5, 6, 7, 7, then Q2 would be 4. Therefore, the first half of the data set is 1, 2, 2, 3, 3, 4. Q1 is the median for the first half of data. Since there are an even number of entries for the first half, the two middle numbers are averaged. Thus, 2+3=5, and 5/2=2.5. Q1 equals 2.5.


Where is the Q1?

Q1 is a building found at Gold Coast in Australia.


Identify the different ways the data in the easy nomad travel agents commission Q1 workbook can be sorted?

by text and numbers


Identify the different ways the data in the Easy Nomad Travel Agents Commission Q1 workbook can be filtered?

by text and date


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?


What is the first quartile of this data set 6 47 49 15 43 41 7 36?

The first quartile is the value such that a quarter of the data are smaller than that value and three quarters are larger. Since there are 8 observations, the quartile will be between the second and the third smallest values. Therefore, Q1 = (7+15)/2 = 11


What problem is overcome by using a circular array for a static queue?

//Library File#include//Class to hold a person's dataclass person{public:int arr_time,trans_time;};//Class to implement queueclass Queue{private:person data[5]; // An array object of the person classint front,back; // 'front' and 'back' variables to point to the front value and back valueint count; //'count' counts the no. of elements present in the queuepublic:Queue() //Constructor{front=back=0;count=0;}void inqueue(int a_tym,int t_tym) // Function to add data into the queue{if(count>=5)cout


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.


When will the DSI XL come out in the us?

It is expected Q1 2010 (which means between January and April)