Order the numbers by their values from lowest to highest. Take the first and last numbers.
They are already ordered, so just take the first and last, which are 3 and 9.
The interquartile range is the difference between the Lower quartile and the upper quartile. Obviously you need to be able to find these values. Haylock (2006) explains how to do this for difficult size groups in mathematics explained for primary teachers. He explains the position of the lower quartile is a quarter of (n+1) and that of the upper quartile is three-quarters of (n+1). So for a group of 7 numbers, you find a quarter of 8, which is 2. Therefore the number in second place is the lower quartile. Three quarters of 8 is 6 and so the number in 6th position is the upper quartile. Now take the lower quartile from the upper quartile.
To find the limits of outliers in box and whisker plots, you first must determine the Interquartile Range. The Interquartile Range is the difference between the Upper Quartile and the Lower Quartile. For instance, if my Upper Quartile = 87 and my Lower Quartile is 52, then 87 - 52= 35. 35 is the Interquartile Range (IQR).Next, you use the formula 1.5 x IQR to determine if you have any outliers.Example:1.5 x 35 = 52.5Now determine the limit for the Upper Quartile by adding 52.5 to the Upper Quartile.Example:52.5 + 87 = 139.5139.5 is the limit for the Upper Quartile.Next, determine the limit for the Lower Quartile by subtracting the Lower Quartile from 52.5Example52 - 52.5 = -0.5-0.5 is the limit for the Lower QuartileThus, the LIMITS are -0.5 and 139.5. In order for a number to be considered an outlier, it must either be less than -0.5 or greater than 139.5
To find the upper and lower quartiles of a data set, first, arrange the data in ascending order. The lower quartile (Q1) is the median of the lower half of the data, while the upper quartile (Q3) is the median of the upper half. If the number of data points is odd, exclude the median when determining these halves. Finally, use the following formulas: Q1 is the value at the 25th percentile, and Q3 is at the 75th percentile of the ordered data set.
The numbers greater than 30 but less than 50 are the integers from 31 to 49. To find how many numbers are in this range, you can subtract the lower limit from the upper limit and then add one: (49 - 31 + 1 = 19). Therefore, there are 19 numbers that satisfy this condition.
the sum of the upper quartile and lower quartile is 56 and their difference is 24. find upper quartile and lower quartile.
In statistics the class boundaries are numbers that separate classes without forming gaps. To find the lower, you subtract 0.5 and to find the upper, you add 0.5. If the class is 3-7 the lower class boundary would be 2.5 and the upper 7.5. The upper boundary of one class will equal the lower boundary of the next class.
How do you calculate the upper and lower bounds? Image result for How to find the upper and lower bound of 1000? In order to find the upper and lower bounds of a rounded number: Identify the place value of the degree of accuracy stated. Divide this place value by
U find the upper quartile by going to ur data and finding the median by ur median and the lower or upper extreme
The interquartile range is the difference between the Lower quartile and the upper quartile. Obviously you need to be able to find these values. Haylock (2006) explains how to do this for difficult size groups in mathematics explained for primary teachers. He explains the position of the lower quartile is a quarter of (n+1) and that of the upper quartile is three-quarters of (n+1). So for a group of 7 numbers, you find a quarter of 8, which is 2. Therefore the number in second place is the lower quartile. Three quarters of 8 is 6 and so the number in 6th position is the upper quartile. Now take the lower quartile from the upper quartile.
See related link. Upper and lower quartiles are the 75 and 25% percentile measures.
You can find more information on how to interpret upper and lower river gauges on or.water.usgs.gov
To find the limits of outliers in box and whisker plots, you first must determine the Interquartile Range. The Interquartile Range is the difference between the Upper Quartile and the Lower Quartile. For instance, if my Upper Quartile = 87 and my Lower Quartile is 52, then 87 - 52= 35. 35 is the Interquartile Range (IQR).Next, you use the formula 1.5 x IQR to determine if you have any outliers.Example:1.5 x 35 = 52.5Now determine the limit for the Upper Quartile by adding 52.5 to the Upper Quartile.Example:52.5 + 87 = 139.5139.5 is the limit for the Upper Quartile.Next, determine the limit for the Lower Quartile by subtracting the Lower Quartile from 52.5Example52 - 52.5 = -0.5-0.5 is the limit for the Lower QuartileThus, the LIMITS are -0.5 and 139.5. In order for a number to be considered an outlier, it must either be less than -0.5 or greater than 139.5
To find the lower extreme, you need to identify the smallest value in a data set. To find the upper extreme, you need to identify the largest value in the data set. These values represent the lowest and highest points of the data distribution.
The lower quartile is the second smallest and the upper quartile is the fourth smallest (second largest).
You would first need to know the amounts of each quartile. Then use your formula to place the numbers inside.
Subtract the lower quartile from the upper quartile.
Step 1: Find the upper quartile, Q3.Step 2: Find the lower quartile: Q1.Step 3: Calculate IQR = Q3 - Q1.Step 1: Find the upper quartile, Q3.Step 2: Find the lower quartile: Q1.Step 3: Calculate IQR = Q3 - Q1.Step 1: Find the upper quartile, Q3.Step 2: Find the lower quartile: Q1.Step 3: Calculate IQR = Q3 - Q1.Step 1: Find the upper quartile, Q3.Step 2: Find the lower quartile: Q1.Step 3: Calculate IQR = Q3 - Q1.