The first chapter is the preliminary algorithm.

1. 1

Algorithm and program block diagram

1. 1 concept of algorithm (1 class)

1. 1.2 program block diagram and basic logic structure of the algorithm (3 class hours)

(Drawing of program block diagram and sequence structure, conditional structure, loop structure and program block diagram)

1.2 basic algorithm statement

1.2. 1 input statement, output statement and assignment statement (1 class hour)

1.2.2 conditional statement (1 class hour)

1.2.3 loop statement (1 class)

1.3 algorithm case (2 class hours)

(Shift division and polyphase subtraction, Qin Jiushao algorithm and carry system)

Chapter II Statistics

2. 1 random sampling

2. 1. 1 simple random sampling (1 class)

2. 1.2 systematic sampling (1 class)

2. 1.3

Stratified sampling (2 class hours)

(stratified sampling, connection of three sampling methods)

2.2 Using samples to estimate the population

2.2. 1 Use the frequency distribution of samples to estimate the overall distribution (2 class hours)

Frequency distribution table and frequency distribution histogram (frequency distribution line graph and stem leaf graph)

2.2.2

Estimate the digital characteristics of the population with the digital characteristics of the sample (2 class hours)

(mode, median, mean, standard deviation)

2.3

Correlation between variables (2 class hours)

Correlation between variables and scatter plot and linear regression equation)

Chapter III Probability

3. 1

Probability of random events

3. 1. 1 random event probability (1 class hour)

3. 1.2 Significance of probability (1 class hour)

3. 1.3

Basic properties of probability (1 class hour)

3.2 Classical probability

3.2. 1 classical probability (2 class hours)

(definition of classical probability, calculation of classical probability)

3.2.2 (integer value) Generation of random numbers (1 class hour)

3.3 Geometric probability

3.3. 1 geometric probability (1 class hour)

3.3.2 Generation of Uniform Random Numbers (1 class hour)

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