Application of Mathematical Concepts According to the problems presented in the worksheet, it's evident that students will learn the practical application of mathematical concepts. Arranging numbers or data not only helps students understand mathematical value but also Order of Magnitude which is a valuable competency in subjects like Science as well. Arranging Data The students will become proficient at arranging numbers in ascending order, a fundamental skill needed for calculating quartiles and understanding data in general. The concept will provide the students a better perspective on data distribution in different data segments. These skills will be beneficial when dealing with data in other aspects like science, economics, and social studies. They will learn how to calculate lower, median, and upper quartiles of a given data set. Understanding of Quartiles The worksheet will provide students with a solid understanding of quartiles, an important aspect of statistics. These essential skills will not only help them excel in mathematics but also in other areas of learning and in life generally. They will learn how to tackle mathematical problems from different angles and develop strategies that will help them solve similar problems in the future. × Student Goals: Problem Solving Skills By completing this worksheet, students will enhance their problem-solving skills. Plus, its compatibility with distance learning makes it a highly flexible educational tool which is apt for current and future teaching approaches." Not only can it be customized to suit different learning levels, it can also be conveniently converted into flashcards for standalone practice. It comprises 12 engaging problems that instructively prompt kids to order numbers and identify quartiles. In Minitab's modified box plots, outliers are identified using asterisks."This worksheet is designed to enhance children's mathematical abilities while learning about Quartiles. In this case, the IQs of 136 and 141 are greater than the upper adjacent value and are thus deemed as outliers. In general, values that fall outside of the adjacent value region are deemed outliers. Therefore, the upper adjacent value is 128, because 128 is the highest observation still inside the region defined by the upper bound of 131. Therefore, in this case, the lower adjacent value turns out to be the same as the minimum value, 68, because 68 is the lowest observation still inside the region defined by the lower bound of 67. In this example, the lower limit is calculated as \(Q1-1.5\times IQR=91-1.5(16)=67\). The adjacent values are defined as the lowest and highest observations that are still inside the region defined by the following limits: For a modified box plot, the whiskers are the lines that extend from the left and right of the box to the adjacent values. In a modified box plot, the box is drawn just as in a standard box plot, but the whiskers are defined differently. How come Minitab's box plot looks different than our box plot? Well, by default, Minitab creates what is called a modified box plot. Note, for example, that the horizontal length of the box is the interquartile range IQR, the left whisker represents the first quarter of the data, and the right whisker represents the fourth quarter of the data. For the right whisker, draw a horizontal line from the maximum value to the midpoint of the right side of the box.ĭrawn as such, a box plot does a nice job of dividing the data graphically into fourths.
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