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  1. Jul 12, 2021 · In a graph without loops, we can define the valency of any vertex \(v\) as the number of edges incident with \(v\). For most purposes, this is a good way to think of the valency. However, when a graph has loops, many formulas work out more nicely if we consider each loop to contribute \(2\) to the valency of its endvertex.

  2. Aug 24, 2022 · Determine the value of a function at a point using a graph; Use the vertical line test to determine if a graph represents a function; Determine domain and range of a function using a graph

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  4. 1. Name all the vertices and edges of Graph A . Figure 12.6 Graph A. Since the purpose of a graph is to represent the connections between objects, it is very important to know if two vertices share a common edge. The two vertices at either end of a given edge are referred to as neighboring, or adjacent.

  5. Mar 20, 2022 · Figure 5.1. A graph on 5 vertices. As is often the case in science and mathematics, different authors use slightly different notation and terminology for graphs. As an example, some use nodes and arcs rather than vertices and edges. Others refer to vertices as points and in this case, they often refer to lines rather than edges.

  6. Key idea: We can think of the mean as the balancing point , which is a fancy way of saying that the total distance from the mean to the data points below the mean is equal to the total distance from the mean to the data points above the mean. Example. In Part 1, you found the mean of { 2, 3, 5, 6 } to be 4 .

  7. Use the graph to find the rate of change. Identify two points on the graph. 2 Count the vertical movement and horizontal movement from one point to the second point. 3 Write the slope. The slope is the ratio, \text { slope }=\cfrac {\text { change in } y} {\text { change in } x} \, . slope = change in x change in y.

  8. Mean, median, and mode. Mean, median, and mode are different measures of center in a numerical data set. They each try to summarize a dataset with a single number to represent a "typical" data point from the dataset. Mean: The "average" number; found by adding all data points and dividing by the number of data points.

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