Solution Recall that an outlier is a number that is greater than the third quartile plus1.5×IQR or less than the first quartile minus1.5×IQR. In this case, the value160is greater than the third quartile,126. Therefore, one should test whether or not is an upper outlier. ...
Fortunately, the R programming language provides an easy solution for this problem. We simply have to specify na.rm = TRUE within the IQR command. Let’s do this:IQR(vec, na.rm = TRUE) # 4.5As you can see, the RStudio console now returns the IQR of our example vector (i.e. 4.5...
Example problem: Find Q1, Q3, and the IQR for the following list of numbers: 1, 9, 2, 3, 7, 8, 9, 2. Press APPS. Scroll to Stats/List Editor (use the arrow keys on the keypad to scroll). Press ENTER. If you don’t have the stats/list editor you can download it here. Cl...
Learn more about this topic: Box Plot | Definition, Uses & Examples from Chapter 3 / Lesson 8 95K What is a box plot? Learn how to make a box plot on a number line. Understand what box plots are used for and how they work. See box plot example problems. ...
Anybody have solution for this? You can play the web radio stations as show...How to append data to a parsed XML object - Python I am trying to take an xml document parsed with lxml objectify in python and add subelements to it. The problem is that I can't work out how to do ...
View Solution Find the semi-interquartile range and coefficient of quartile deviation of the frequency distribution of literacy rates in States/UT in India during 2001. View Solution Calculate interquartile range, quartile deviation and the coefficient of quartile deviation from the following data: ...
Case1) Ungrouped data There are 3 types of quartiles 1)The Lower Quartile, the 1st Quartile or 25 Percentile denoted by Q1 Position Given by (n+1)/4 2)The Mid Quartile , the 2nd Quartile or the 50 percentile or the Median denoted by Q2 Position given by (n+1)/2 3)The Upper ...
To overcome this problem, Hozo et al. proposed the following improved range rule of thumb with respect to the different size of the sample: S ≈ 1 12 ( b - a ) 2 + ( a - 2 m + b ) 2 4 1 / 2 n ≤ 15 b - a 4 15 < n ≤ 70 ...
How do you get the interquartile range? Provide a step-by-step solution. Consider a sample with data of 27, 25, 20, 15, 30, 34, 28, and 25 Compute the range decimals (If decimals are necessary). Which data set has the smallest interquartile range?
Give a specific example of a population with which the empirical rule might be most effective and an example of a population with which Chebyshev's theorem might be most effective. Justify your answers. True or false? When a data set ...