(a) sampling and data analysis

1. Experience the activities of collecting, sorting, describing and analyzing data, and understand the process of data processing: you can use a calculator to process more complex data.

2. Understand the necessity of sampling and understand simple random sampling through examples (see Example 68).

3. Can make fan-shaped statistical charts, and can describe data intuitively and effectively with statistical charts.

4. Understand the meaning of the average, calculate the median mode and the weighted average, and understand that they are descriptions of trends in data concentration (see Example 69).

5. Understand the significance of describing the degree of data dispersion and calculate the variance of simple data (see Example 70).

6. Understand the meaning of frequency and frequency distribution through examples, draw a frequency histogram, and use the frequency histogram to explain the information contained in the data (see Example 7 1).

7. Understand the relationship between the sample and the population, and know that the population mean and population variance can be inferred from the sample mean and sample variance.

8. Be able to interpret the statistical results, make simple judgments and predictions according to the results, and communicate (see Example 7 1)9 Feel the changing trend of random phenomena through tables, line charts, trend charts, etc. (See Example 72).

(2) Probability of events

1. All possible results of simple random events and all possible results of specified events can be listed by lists and drawing trees, and the probability of events can be known (see Examples 73 and 74).

2. Knowing the frequency can estimate the probability through a large number of repeated experiments.