"Data Fluctuations" Data Collection and Processing PPT Courseware 2

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"Data Fluctuations" Data Collection and Processing PPT Courseware 2

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"Data Fluctuations" Data Collection and Processing PPT Courseware 2

Courseware description

This course is to understand the necessity and importance of analyzing the degree of fluctuation of a set of data in a specific problem situation. Through the scatter plot representation of two sets of data with close averages, one can intuitively feel the meaning of the degree of data fluctuation. On this basis The concept of variance is introduced above.

learning target:

1. Experience the formation process of variance and understand the meaning of variance;

2. Master the calculation method of variance and be able to initially use variance to solve practical problems.

Learning points:

Understanding and application of the meaning of variance.

Explore new knowledge

(1) What quantity can be used to describe the yield of sweet corn? Please explain after calculation.

This shows that in the experimental field, the average yields of sweet corn A and B are not much different.

It can be estimated that the average yields of these two types of sweet corn planted in this area are not much different.

(2) How to check the stability of the yield of a sweet corn?

① Please design a statistical chart to visually reflect the distribution of sweet corn yield.

②In statistics, the following method is often used to quantify the fluctuation of this set of data:

Assume n data x1, x2,...,xn, the squares of the differences between each data and their average x are respectively,

We use the average of these values ​​to measure the fluctuation of this set of data, and call it the variance of this set of data. The greater the variance, the greater the fluctuation of the data;

The smaller the variance, the smaller the fluctuation of the data.

Class summary

(1) How to calculate variance?

S²=1/n[(x1-x)²+(x2-x)²+......(xn-x)²]

(2) How do you understand the meaning of variance?

The greater the variance, the greater the fluctuation of the data;

The smaller the variance, the smaller the fluctuation of the data.

Applicable conditions for variance: When the averages of two sets of data are equal or similar, variance can be used to judge their fluctuations.

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For more information about the PPT courseware "Data Collection and Processing Data Fluctuation", please click the Data Collection and Processing ppt Data Fluctuation ppt tag.

"Data Fluctuation" Data Collection and Processing PPT Courseware 3:

"Data Fluctuation" Data Collection and Processing PPT Courseware 3 Problem Situation In order to improve the international competitiveness of agricultural and sideline products, some industry associations have divided the planning of agricultural and sideline products. A foreign trade company wants to export a batch of 75g chicken legs. There are currently 2 manufacturers providing...

"Data Fluctuations" Data Collection and Processing PPT Courseware:

"Data Fluctuation" Data Collection and Processing PPT Courseware Scenario 1. There are two boxes of apples A and B of the same variety. Their total mass is the same, both 5kg, and the number of apples in each box is also the same; but among them, the apples in box A The big one is very big, the small one is very small, and the apples in box B...

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Update Time: 2024-10-06

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