"The Dispersion Degree of Data" Data Analysis PPT Teaching Courseware

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"The Dispersion Degree of Data" data analysis PPT teaching courseware, 14 pages in total.

Part One Content: Basic Knowledge Key Points

Knowledge point 1: Range and variance

1. The range of a set of data 1,5,-2,0,-1 is (C)

A.5 B.6

C.7 D.8

2. Four players A, B, C and D each shot 10 times. The average score of each player is 9.3 rings. The variance is as follows:

Then the one with the most stable performance among the four is (B)

A.A B.B C.C D.D

3. A set of data is: 31, 30, 35, 29, 30, then the variance of this set of data is (D)

A.22 B.18

C.3.6 D.4.4

Dispersion degree of data PPT, part 2: improvement of comprehensive capabilities

9. If the average of a set of data x1+1, x2+1,…,xn+1 is 17 and the variance is 2, then the average of another set of data x1+2, x2+2,…,xn+2 and variance are (B) respectively

A.17,2 B.18,2 C.17,3 D.18,3

10. As shown in the figure, which of the following conclusions is incorrect (D)

A. The difference between the maximum number and the minimum number of group a is large.

B. The variance of group a data is larger

C. Group b data is relatively stable

D.The variance of group b data is larger

Dispersion degree of data PPT, the third part: Expansion, exploration and breakthrough

14. In a set of data x1, x2,...,xn, the average of the absolute value of the difference between each data and their average number ¯x, that is, T=1/n( | ; + The greater the "average difference", the greater the degree of dispersion of the data. Because the calculation of "average difference" is easier than the calculation of the variance, sometimes people also use it instead of the variance to compare the degree of dispersion of the data. Range, variance (Standard deviation) and mean deviation are both quantities that reflect the degree of dispersion of data.

Mr. Li, an aquaculture farmer, wants to know the dispersion of the weight of the fish in the fish pond. Because the size difference is too large, the "big fish eat the small fish" situation will occur. In order to prevent the "big fish eat the small fish" situation, when some values ​​of several quantities that can reflect the dispersion of data exceed the standard, they must be caught, raised separately or sold. He randomly caught 10 fish from each of the two fish ponds and weighed the following weights: (Unit: kg)

Turtle Pond:3,5,5,5,7,7,5,5,5,3.

Fish Pond B: 4,4,5,6,6,5,6,6,4,4.

Keywords: Free download of Beijing Normal University edition eighth-grade mathematics PPT courseware for volume 1, data discreteness PPT download, data analysis PPT download, .PPT format;

For more information about the "Data Analysis and Dispersion Degree of Data" PPT courseware, please click on the Data Analysis PPT and Data Dispersion Degree PPT tab.

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Update Time: 2024-10-19

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