Inferential statistics is to infer

Inferential statistics is to infer the overall situation based on the data obtained by sampling. The specific techniques used in inferential statistics include parameter estimation and hypothesis testing. The point estimate of the parameter refers to the estimated value of the overall corresponding index with the observed value of the specimen statistics. In application, commonly used point estimates are: the actual value of the sample average is used as the estimated value of the corresponding population average, the actual value of the sample component is used as the estimated value of the corresponding population component, and the sample variance is used as the estimate of the population variance Value etc. The parameter interval estimation is to estimate the parameter value of the population with the sample statistics and the confidence interval under a certain degree of confidence (confidence). The confidence range reflects the accuracy of this estimate, and the credibility reflects the reliability of this estimate. For example, it is estimated that "the monthly average number of burglaries in a certain place is 24", which is a point estimate of the parameter of the average number of burglaries in a certain place, and it is estimated that "the average monthly number of burglaries in a certain place is 18- Between 29" is its interval estimate.