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AP统计学知识点总结知识点

2020-07-21 21:36| 来源:环球AP | 点击量:

摘要: 备考AP统计学需要哪些知识点呢?下面老师为大家整理了AP统计学知识点总结知识点,期望可以对大家有一定的帮助。

  备考AP统计学需要哪些知识点呢?下面老师为大家整理了AP统计学知识点总结知识点,期望可以对大家有一定的帮助。

  AP统计学知识点总结知识点如下:

  一、Constructing and interpreting graphical displays of distributions of univariate data (dotplot, stemplot, histogram, cumulative frequency plot)

  1.Center and spread;

  2.Clusters and gaps;

  3.Outliers and other unusual features;

  4.Shape;

  二、Summarizing distributions of univariate data

  1.Measuring center: median, mean;

  2.Measuring spread: range, interquartile range, standard deviation;

  3.Measuring position: quartiles, percentiles, standard scores (z-scores);

  4.Using boxplots;

  5.The effect of changing units on summary measures;

  三、Comparing distributions of univariate data (dotplots, back-to-back stemplots, parallel boxplots )

  1.Comparing center and spread: within group, between group variation;

  2.Comparing clusters and gaps;

  3.Comparing outliers and other unusual features;

  4.Comparing shapes;

  四、Exploring bivariate data

  1.Analyzing patterns in scatterplots;

  2.Correlation and linearity;

  3.Least-squares regression line;

  4.Residual plots, outliers and influential points;

  5.Transformations to achieve linearity: logarithmic and power tranformations;

  五、Exploring categorical data

  1.Frequency tables and bar charts;

  2.Marginal and joint frequencies for two-way tables;

  3.Conditional relative frequencies and association;

  4.Comparing distributions using bar charts;

AP统计学需要哪些知识点

  六、.Planning and conducting surveys

  1.Characteristics of a well-designed and well-conducted survey;

  2.Populations, samples and random selection;

  3.Sources of bias in sampling and surveys;

  4.Sampling methods, including simple random sampling, stratified random sampling and cluster sampling;

  七、Planning and conducting experiments

  1.Characteristics of a well-designed and well-conducted experiment;

  2.Treatments, group control, experimental units, random assignment and replication;

  3.Sources of bias and confounding, including placebo effect and blinding;

  4.Completely randomized design;

  5.Randomized block design, including matched pairs design;

  八、Generalizability of results and types of conclusions that can be drawn from observational studies, experiments and surveys

  1.Interpreting probability, including long-run relative frequency interpretation;

  2.“Law of Large Numbers” concept;

  3.Addition rule, multiplication rule, conditional probability and independence;

  4.Discrete random variables and their probability distributions, including binomial and geometric;

  5.Simulation of random behavior and probability distributions;

  6.Mean (expected value) and standard deviation of a random variable, and linear transformation of a random variable;

  九、Combining independent random variables

  1.Notion of independence versus dependence;

  2.Mean and standard deviation for sums and differences of independent random variables;

  十、The normal distribution

  1.Properties of the normal distribution;

  2.Using tables of the normal distribution;

  3.The normal distribution as a model for measurement;

  十一、Sampling distributions

  1.Sampling distribution of a sample proportion;

  2.Sampling distribution of a sample mean;

  3.Central Limit Theorem;

  4.Sampling distribution of a difference between two independent sample proportions;

  5.Sampling distribution of a difference between two independent sample means;

  6.Simulation of sampling distributions;

  7.t-distribution;

  8.Chi-square distribution;

  十二、Estimation (point estimators and confidence intervals)

  1.Estimating population parameters and margins of error;

  2.Properties of point estimators, including unbiasedness and variability;

  3.Logic of confidence intervals, meaning of confidence level and confidence intervals, and properties of confidence intervals;

  4.Large sample confidence interval for a proportion;

  5.Large sample confidence interval for a difference between proportions;

  6.Confidence interval for a mean;

  7.Confidence interval for a difference between two means (unpaired and paired);

  8.Confidence interval for the slope of a least-squares regression line;

  以上是AP统计学知识点总结知识点,希望文章里的这些信息考生们能认真的阅读,如果是想再了解其它方面的信息,请点击咨询上海环球教育官方网站。咨询电话:400-820-0602。

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