Range, quartiles, and interquartile range
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The IQR describes the middle 50% of values when ordered from lowest to highest. To find the interquartile range (IQR), first find the median (middle value) of the lower and upper half of the data. These values are quartile 1 (Q1) and quartile 3 (Q3). The IQR is the difference between Q3 and Q1.
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Foundations of hci the computer
The document discusses the various elements that make up a computer system and how they affect human-computer interaction, including input devices like keyboards, mice, and touchscreens; output devices like monitors and printers; and internal components like memory, processing speed, and networks. It provides details on common text entry devices like keyboards and their layouts, as well as alternative input methods such as touchpads, joysticks, handwriting and speech recognition. The document examines how richer interaction is enabled through a variety of positioning, pointing, and drawing devices beyond basic keyboards and mice.
Innovative teaching think pair share function
Think-Pair-Share
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Icmp
The document discusses the Internet Control Message Protocol (ICMP) and its role in compensating for deficiencies in the Internet Protocol (IP). ICMP provides error reporting and query messages to detect and diagnose network problems. Some key points covered include:
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- ICMP query messages like ping are used to check reachability and calculate round-trip times between hosts or routers.
- The main ICMP message types are for error reporting, queries, and network management functions like redirection and router discovery.
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Range, quartiles, and interquartile range
- 1. Range, Quartiles, and Interquartile Range M.Swarna Sudha Assistant Professor(Senior Grade) Department of CSE Ramco Institute of Technology CS8075 DATA WAREHOUSING AND DATA MINING
- 2. Range, Quartiles, and Interquartile Range • Let x1,x2,...,xN be a set of observations for some numeric attribute, X. • The range of the set is the difference between the largest (max()) and smallest (min()) values
- 5. • Suppose that the data for attribute X are sorted in increasing numeric order. Imagine that we can pick certain data points so as to split the data distribution into equal-size consecutive sets, as in Figure
- 16. Examples • 75, 69, 56, 46, 47, 79, 92, 97, 89, 88, 36, 96, 105, 32, 116, 101, 79, 93, 91, 112 • After sorting the above data set: 32, 36, 46, 47, 56, 69, 75, 79, 79, 88, 89, 91, 92, 93, 96, 97, 101, 105, 112, 116 • Here the total number of terms is 20. • The second quartile (Q2) or the median of the above data is (88 + 89) / 2 = 88.5 • The first quartile (Q1) is median of first n i.e. 10 terms (or n i.e. 10 smallest values) = 62.5 • The third quartile (Q3) is the median of n i.e. 10 largest values (or last n i.e. 10 values) = 96.5 • Then, IQR = Q3 – Q1 = 96.5 – 62.5 = 34.0
- 18. • The IQR is used to build box plots, simple graphical representations of a probability distribution. • The IQR can also be used to identify the outliers in the given data set. • The IQR gives the central tendency of the data. Decision Making • The data set has a higher value of interquartile range (IQR) has more variability. • The data set having a lower value of interquartile range (IQR) is preferable. • Suppose if we have two data sets and their interquartile ranges are IR1 and IR2, and if IR1 > IR2 then the data in IR1 is said to have more variability than the data in IR2 and data in IR2 is preferable. USE of IQR