In practical problems, the overall digital feature is often unknown. It can only be started from the digital characteristics of the sample, and the overall digital characteristics can be inferred to understand some of the overall mathematical properties. Common sample digital features have two categories:
1. Represents the positional characteristics of the sample observation value, such as the sample mean, sample weight mean, sample K-order, etc.
2. Represents the discrete characteristics of the sample, such as the sample, the sample is very poor, the sample k-order center distance, etc.

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VotesIn practical problems, the overall digital feature is often unknown. It can only be started from the digital characteristics of the sample, and the overall digital characteristics can be inferred to understand some of the overall mathematical properties. Common sample digital features have two categories:

1. Represents the positional characteristics of the sample observation value, such as the sample mean, sample weight mean, sample K-order, etc.

2. Represents the discrete characteristics of the sample, such as the sample, the sample is very poor, the sample k-order center distance, etc.

Rose Johnson- March 31, 2022 |