AP Statistics

Instructor: Prateek

Language: English

Max Viewing Hours: 1 Hours

$300

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Course Content
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Welcome to Edoflip Courses!

Thank you for landing on the AP Statistics Course Page. All the courses are delivered by Subject Experts with over 5+ years of experience and after a detailed analysis of previous year papers and syllabus.

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This is the course structured as per the revised curriculum for AP Statistics.Please find the course syllabus module on the Course Contents Tab above.

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	Analyzing categorical data
		Identifying individuals, variables and categorical variables in a data set \|
		Creating a bar chart \| Applying mathematical reasoning \| Pre-Algebra \|
		Reading bar charts: comparing two sets of data \| Pre-Algebra \|
		Two-way frequency tables and Venn diagrams \| Data and modeling \|
		Two-way relative frequency tables \| Data and modeling \|
		Interpreting two-way tables \| Data and modeling \|
		Marginal and conditional distributions \| Analyzing categorical data \| AP Statistics
	Displaying and describing quantitative data
		Frequency tables and dot plots \| Data and statistics \|
		How to create a histogram \| Data and statistics \|
		How to interpret a histogram \| Data and statistics \|
		Stem-and-leaf plots \| Applying mathematical reasoning \| Pre-Algebra
		Reading stem and leaf plots \| Applying mathematical reasoning \| Pre-Algebra \|
		Classifying shapes of distributions \| AP Statistics \|
		Example: Describing a distribution \| AP Statistics
		Example: Comparing distributions \| AP Statistics
	Summarizing quantitative data
		Statistics intro: Mean, median, and mode \| Data and statistics \|
		Finding mean, median, and mode \| Descriptive statistics \| Probability and Statistics \|
		Median in a histogram \| Summarizing quantitative data \| AP Statistics
		How to find a missing value given the mean \| Data and statistics \|
		Impact on median and mean when increasing highest value \|
		Impact on median and mean when removing lowest value example \|
		Estimating mean and median in data displays \| AP Statistics \|
		How to calculate interquartile range IQR \| Data and statistics \|
		Sample variance \| Descriptive statistics \| Probability and Statistics
		Sample standard deviation and bias \| Probability and Statistics \|
		Visually assessing standard deviation \| AP Statistics \|
		Mean and standard deviation versus median and IQR \| AP Statistics
		Review and intuition why we divide by n-1 for the unbiased sample
		Another simulation giving evidence that (n-1) gives us an unbiased estimate of variance
		Simulation showing bias in sample variance \| Probability and Statistics \|
		Simulation providing evidence that (n-1) gives us unbiased estimate \|
		Box and whisker plot exercise example \| Data and statistics \|
		Another example constructing box plot \| Data and statistics \|
		Box and whisker plot \| Descriptive statistics \| Probability and Statistics
		Interpreting box plots \| Data and statistics \|
		Interpreting box plots \| Data and statistics \|
	Modelling data distributions
		Calculating percentile \| Modeling data distributions \| AP Statistics \|
		Analyzing a cumulative relative frequency graph \| AP Statistics \|
		Z-score introduction \| Modeling data distributions \| AP Statistics
		Comparing with z-scores \| Modeling data distributions \| AP Statistics \|
		How parameters change as data is shifted and scaled \| AP Statistics
		Density Curves \| Modeling data distributions \| AP Statistics
		Median, mean and skew from density curves \| AP Statistics
		Density curve worked example \| Modeling data distributions \| AP Statistics \|
		Worked example finding area under density curves \| AP Statistics
		ck12.org normal distribution problems: Qualitative sense of normal distributions \|
		ck12.org normal distribution problems: Empirical rule \| Probability and Statistics \|
		Standard normal table for proportion below \| AP Statistics
		Standard normal table for proportion above \| AP Statistics \|
		Standard normal table for proportion between values \| AP Statistics \|
		Finding z-score for a percentile \| AP Statistics \|
		Threshold for low percentile \| Modeling data distributions \| AP Statistics \|
	Exploring bivariate numerical data
		Constructing a scatter plot \| Regression \| Probability and Statistics \|
		Studying, shoe size, and test scores scatter plots \| Probability and Statistics \|
		Bivariate relationship linearity, strength and direction \| AP Statistics
		Calculating correlation coefficient r \| AP Statistics \|
		Calculating correlation coefficient r \| AP Statistics \|
		Introduction to residuals and least-squares regression \| AP Statistics \|
		Calculating residual example \| Exploring bivariate numerical data \| AP Statistics \|
		Calculating residual example \| Exploring bivariate numerical data \| AP Statistics \|
		Interpreting slope of regression line \| AP Statistics \|
		Interpreting y-intercept in regression model \| AP Statistics \|
		Generalizabilty of survey results example \| AP Statistics \|
		Residual plots \| Exploring bivariate numerical data \| AP Statistics
		R-squared or coefficient of determination \| Regression \| Probability and Statistics
		Standard deviation of residuals or root mean square deviation (RMSD) \| AP Statistics \|
		Interpreting computer regression data \| AP Statistics \|
		Impact of removing outliers on regression lines \| AP Statistics \|
	Study design
		Identifying a sample and population \| Study design \| AP Statistics \|
		Generalizabilty of survey results example \| Study design \| AP Statistics \|
		Examples of bias in surveys \| Study design \| AP Statistics \|
		Example of under coverage introducing bias \| Study design \| AP Statistics \|
		Techniques for generating a simple random sample \| Study design \| AP Statistics
		Techniques for random sampling and avoiding bias \| Study design \| AP Statistics \|
		Types of statistical studies \| Study design \| AP Statistics \|
		Worked example identifying experiment \| Study design \| AP Statistics
		Worked example identifying observational study \| Study design \| AP Statistics \|
		Impact of mass on orbital speed \| Study design \| AP Statistics \|
		Matched pairs experiment design \| Study design \| AP Statistics
		Invalid conclusions from studies example \| Study design \| AP Statistics \|
		Can causality be established from this study? \| Study design \| AP Statistics \|
	Probability
		Probability explained \| Independent and dependent events \| Probability and Statistics \|
		Experimental versus theoretical probability simulation \| Probability \| AP Statistics
		Random number list to run experiment \| Probability \| AP Statistics \|
		Random numbers for experimental probability \| Probability \| AP Statistics \|
		Statistical significance of experiment \| Probability and Statistics \|
		Probability with playing cards and Venn diagrams \| Probability and Statistics \|
		Addition rule for probability \| Probability and Statistics
		Compound probability of independent events \| Probability and Statistics \|
		Test taking probability and independent events \| Precalculus \|
		Free throwing probability \| Probability and Statistics \|
		Three pointer vs free throwing probability \| Probability and Statistics \|
		Dependent probability introduction \| Probability and Statistics
		Coin flipping probability \| Probability and Statistics \|
		Conditional probability and independence \| Probability \| AP Statistics \|
		Conditional probability explained visually (Bayes' Theorem)
		Conditional probability tree diagram example \| Probability \| AP Statistics \|
	Random variables
		Constructing a probability distribution for random variable \|
		Valid discrete probability distribution examples \| Random variables \| AP Statistics \|
		Probability with discrete random variable example \| Random variables \| AP Statistics \|
		Probability with discrete random variable example \| Random variables \| AP Statistics \|
		Variance and standard deviation of a discrete random variable \| AP Statistics
		Probabilities from density curves \| Random variables \| AP Statistics \|
		Impact of transforming (scaling and shifting) random variables \| AP Statistics \|
		Example: Transforming a discrete random variable \| Random variables \| AP Statistics \|
		Mean of sum and difference of random variables \| Random variables \| AP Statistics \|
		Variance of sum and difference of random variables \| Random variables \| AP Statistics \|
		Intuition for why independence matters for variance of sum \| AP Statistics \|
		Variance of differences of random variables \| Probability and Statistics \|
		Example: Analyzing distribution of sum of two normally distributed random variables \|
		Example: Analyzing the difference in distributions \| Random variables \| AP Statistics \|
		Binomial variables \| Random variables \| AP Statistics \|
		Recognizing binomial variables \| Random variables \| AP Statistics \|
		10% Rule of assuming "independence" between trials \| Random variables \| AP Statistics
		Probability of making 2 shots in 6 attempts \| Probability and Statistics \|
		Generalizing k scores in n attempts \| Probability and Statistics \|
		Free throw binomial probability distribution \| Probability and Statistics \|
		Graphing basketball binomial distribution \| Probability and Statistics \|
		Binompdf and binomcdf functions \| Random variables \| AP Statistics \|
		Expected value of a binomial variable \| Random variables \| AP Statistics \|
		Variance of a binomial variable \| Random variables \| AP Statistics \|
		Finding the mean and standard deviation of a binomial random variable \| AP Statistics \|
		Geometric random variables introduction \| Random variables \| AP Statistics \|
		Probability for a geometric random variable \| Random variables \| AP Statistics
		Cumulative geometric probability (greater than a value) \| AP Statistics \|
		Cumulative geometric probability (less than a value) \| AP Statistics \|
		TI-84 geometpdf and geometcdf functions \| Random variables \| AP Statistics \|
		Proof of expected value of geometric random variable \| AP Statistics
	Sampling distributions
		Introduction to sampling distributions \| Sampling distributions \| AP Statistics \|
		Sample statistic bias worked example \| Sampling distributions \| AP Statistics \|
		Sampling distribution of sample proportion part 1 \| AP Statistics \|
		Sampling distribution of sample proportion part 2 \| AP Statistics \|
		Normal conditions for sampling distributions of sample proportions \| AP Statistics \|
		Probability of sample proportions example \| Sampling distributions \| AP Statistics \|
		Central limit theorem \| Inferential statistics \| Probability and Statistics \|
		Sampling distribution of the sample mean \| Probability and Statistics \|
		Sampling distribution of the sample mean 2 \| Probability and Statistics \|
		Standard error of the mean \| Inferential statistics \| Probability and Statistics
		Sampling distribution example problem \| Probability and Statistics \|
	Confidence Intervals
		Confidence intervals and margin of error \| AP Statistics \|
		Confidence interval simulation \| Confidence intervals \| AP Statistics \|
		Interpreting confidence level example \| Confidence intervals \| AP Statistics \|
		Conditions for valid confidence intervals \| Confidence intervals \| AP Statistics \|
		Conditions for confidence intervals worked examples \| AP Statistics \|
		Critical value (z*) for a given confidence level \| AP Statistics \|
		Example constructing and interpreting a confidence interval for p \| AP Statistics \|
		Determining sample size based on confidence and margin of error \| AP Statistics \|
		Introduction to t statistics \| Confidence intervals \| AP Statistics
		Simulation showing value of t statistic \| Confidence intervals \| AP Statistics \|
		Conditions for valid t intervals \| Confidence intervals \| AP Statistics
		Example finding critical t value \| Confidence intervals \| AP Statistics \|
		Example constructing a t interval for a mean \| Confidence intervals \| AP Statistics \|
		Confidence interval for a mean with paired data \| AP Statistics \|
		Sample size for a given margin of error for a mean \| AP Statistics
	Significance Tests
		Idea behind hypothesis testing \| Probability and Statistics \|
		Examples of null and alternative hypotheses \| AP Statistics \|
		P-values and significance tests \| AP Statistics \|
		Comparing P-values to different significance levels \| AP Statistics \|
		Estimating a P-value from a simulation \| AP Statistics
		Introduction to Type I and Type II errors \| AP Statistics \|
		Examples identifying Type I and Type II errors \| AP Statistics \|
		Introduction to power in significance tests \| AP Statistics \|
		Examples thinking about power in significance tests \| AP Statistics \|
		Constructing hypotheses for a significance test about a proportion \| AP Statistics \|
		Conditions for a z test about a proportion \| AP Statistics \|
		Calculating a z statistic in a test about a proportion \| AP Statistics \|
		Calculating a P-value given a z statistic \| AP Statistics \|
		Making conclusions in a test about a proportion \| AP Statistics \|
		Significance test for a proportion free response example \| AP Statistics
		Significance test for a proportion free response (part 2 with correction) \|
		Writing hypotheses for a significance test about a mean \| AP Statistics \|
		Conditions for a t test about a mean \| AP Statistics
		When to use z or t statistics in significance tests \| AP Statistics \|
		Example calculating t statistic for a test about a mean \| AP Statistics
		Using TI calculator for P-value from t statistic \| AP Statistics \|
		Using a table to estimate P-value from t statistic \| AP Statistics
		Comparing P-value from t statistic to significance level \| AP Statistics
		Free response example: Significance test for a mean \| AP Statistics \|
	Inference comparing two groups or populations
		Confidence intervals for the difference between two proportions \| AP Statistics \|
		Examples identifying conditions for inference on two proportions \| AP Statistics
		Calculating a confidence interval for the difference of proportions \| AP Statistics
		Hypothesis test for difference in proportions \| AP Statistics \|
		Constructing hypotheses for two proportions \| AP Statistics \|
		Hypothesis test for difference in proportions example \| AP Statistics \|
		Comparing P value to significance level for test involving difference of proportions \|
		Confidence interval for hypothesis test for difference in proportions \| AP Statistics \|
		Conditions for inference for difference of means \| AP Statistics \|
		Constructing t interval for difference of means \| AP Statistics \|
		Calculating confidence interval for difference of means \| AP Statistics
		Hypotheses for a two-sample t test \| AP Statistics \|
		Example of hypotheses for paired and two-sample t tests \| AP Statistics \|
		Two-sample t test for difference of means \| AP Statistics \|
		Conclusion for a two-sample t test using a P-value \| AP Statistics \|
		Conclusion for a two-sample t test using a confidence interval \| AP Statistics \|
	Chi square tests for categorical data
		Chi-square statistic for hypothesis testing \| AP Statistics \|
		Chi-square goodness-of-fit example \| AP Statistics \|
		Introduction to the chi-square test for homogeneity \| AP Statistics \|
		Chi-square test for association (independence) \| AP Statistics \|
	More on regression
		Introduction to inference about slope in linear regression \| AP Statistics
		Conditions for inference on slope \| More on regression \| AP Statistics \|
		Confidence interval for the slope of a regression line \| AP Statistics
		Calculating t statistic for slope of regression line \| AP Statistics \|
		Using a P-value to make conclusions in a test about slope \| AP Statistics
		Using a confidence interval to test slope \| More on regression \| AP Statistics \|
		Transforming nonlinear data \| More on regression \| AP Statistics \|
		Worked example of linear regression using transformed data \| AP Statistics \|
	Prepare for the 2020 AP statistics exam
		Significance test for a proportion free response example \| AP Statistics \|
		Significance test for a proportion free response (part 2 with correction) \|
		Free response example: Significance test for a mean \| AP Statistics \|

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