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The document defines and provides examples of calculating the median, mode, and range of data sets. It explains that the median is the middle value of a data set in numerical order, or the mean of the two middle values for an even number of values. The mode is the value that occurs most frequently in a data set. The range is the difference between the greatest and least values. Examples are given of calculating each for a set of monthly temperature data.
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Alg2 section 1.7
This document discusses how to solve absolute value equations and inequalities in 3 sections: the first section explains absolute value, the second section provides instructions for solving absolute value equations, and the third section gives directions for solving absolute value inequalities and includes an application example.
Pa section 1.6
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Alg 2 section 1.6
The document discusses solving linear inequalities and includes three topics: forms of linear inequalities, compound inequalities, and homework assigned which includes odd numbered problems 23 through 33 and 37 through 47 on page 45 of the text.
Pc sections p.6-p.7
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Alg 1 sections 1.5-1.6
1. This document discusses different ways to represent functions including equations, tables, and mapping diagrams. It provides examples of each.
2. Strategies for solving problems are outlined, including using formulas, patterns, and drawing diagrams. Specific math problems are provided as examples.
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The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
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Pa section 1.6
- 1. Section 1.6
- 2.
- 3. The median of a data set is the middle value when the values are written in numerical order. If a data set has an even number of values, the median is the mean of the two middle values. Minimum monthly temperatures (C) for Big Delta, Alaska. -24, -21, -17, -7, 3, 8, 11, 8, 2, -8, -18, -23 What is the median of the data set? -24, -23, -21, -18, -17, -8, -7, 2, 3, 8, 8, 11 -7.5
- 4. The mode of a data set is the value that occurs most often. A data set can have no mode, one mode, or more than one mode. Minimum monthly temperatures (C) for Big Delta, Alaska. -24, -21, -17, -7, 3, 8, 11, 8, 2, -8, -18, -23 What is the mode of the data? 8
- 5. The range of a data set is the difference of the greatest value and the least value. Minimum monthly temperatures (C) for Big Delta, Alaska. -24, -21, -17, -7, 3, 8, 11, 8, 2, -8, -18, -23 What is the range of the data set? 11 – (-24) = 350 C
- 6. Here are some scores from a card game: 154, 113, 172, 161, 145 Find the mean, median, mode, and range of the data set. Mean = 149 Median = 154 Mode = no mode Range = 59 If the scores were doubled, what would happen to the mean, median, mode, and range? They would all double.
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