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Course Description

Advanced Placement Statistics (AP Statistics, AP Stat or AP Stats) is a college-level high school statistics course offered in the United States through the College Board's Advanced Placement program

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Course Syllabus
  • Stem Plots in Statistics
  • Histograms in Statistics
  • Making histograms, boxplots,and timeplots with a graphing calculator
  • Catagorical Graphs in Statistics
  • Describing Distributions in Statistics
  • Determining Skewness In Ogive Graphs
  • Resistance, Mean, Median, 5 Number Summary and BoxPlots
  • Standard Deviation Preview and IQR Test
  • Distribution Shapes, Ogive Graphs, and Time Plots
  • Standard Deviation and Linear Transformations
  • Density Curves, Empirical Rule & Normality, Z-score Intro
  • Normal Probability Plots & the TI-84
  • z-score Calculations & Percentiles in a Normal Distribution
  • TI-NSPIRE Z score to Pval & Pval to Zscore NormCDF invNorm
  • Scatter Plot Intro and Lurking Variables defined
  • Intro of Corellation r to measure linear strength
  • Outlier vs Influential Point
  • Regression lines, Residual plots, and Correlation with TI-NSpire
  • Least Squares Regression Line Notes
  • Regression Lines and Correlation with TI-84
  • Log Transformation Part 1
  • Log Transformations Part 2
  • Log Transformations with a TI-NSPIRE
  • Histogram,Boxplot,Dot Plot, & Normal Prob Plot on TI-NSPIRE
  • Scatter Plot, Linear Reg, Correlation & Residuals with TI-NSPIRE
  • Log Transformations with TI-84
  • Simpson's Paradox
  • Relationship between catagorical variables in a 2 way table
  • Log Tranformation with TI-NSPIRE
  • Causation Defined & 5 Key Checks for Signs of Causattion
  • Sampling Techniques Part 1
  • Sampling Techniques Part 2
  • Cautions about Sample Surveys, Causes of Bias, and Inference defined
  • Sampling Techniques & Cautions (Full Length)
  • Experimental Design Part 1
  • Experimental Design Part 2
  • Simulation Notes for Statistics
  • Intro to Probabilities in Statistics (Full Length)
  • Intro to Probabilities Part 1
  • Intro to Probabilities Part 2
  • Intro to Probabilities Part 3
  • General Probability Rules (Full Length)
  • General Probability Rules Part 2
  • General Probability Rules Part 1
  • Discrete & Continuous Random Variables (Full Length)
  • Discrete & Continuous Variables Part 1
  • Discrete & Continuous Variables Part 2
  • TI-NSPIRE Discrete Random Variable Mean & Standard Deviation
  • Combining Means and Variance in Statistics
  • Combining Means and Variance Examples
  • Binomial Setting & Binomial Distribution in Statistics Pt 1
  • Binomial Setting & Binomial Distribution in Statistics Pt 2
  • Geometric Setting & Distribution in Statistics
  • Calculating 1-Var Statistics with a TI-NSPIRE
  • Intro to Sample Mean Distribution and Central Limit Theorem
  • 1 Sample Mean Z-Test Example
  • Introduction of Sample Proportions
  • Example of 1 Sample Proportion Z-test
  • N-SPIRE 1 Proportion Z-Test Example
  • Intro to Confidence Intervals & 1 Sample Mean z Interval
  • 1 Sample Mean t-Confidence Interval
  • Matched Pairs t Confidence Interval
  • 1 Sample Proportion z Confidence Interval
  • Significance Hypothesis Test Intro & Matched Pairs t-Test
  • 2 Sided Hypothesis Tests & Confidence Intervals
  • Type 1 Error Type 2 Error Power 1 Sample Mean Hypothesis z-Test
  • Power of a T Test 1 Sample Mean
  • Power 1 Sample Proportion z-Test (2 Sided)
  • 2 Sample Mean t-test & Confidence Interval
  • 2 Sample Mean Hypothesis t Test & Confidence Interval Example w/ TI-NSPIRE
  • 2 Proportions Pooled Hypothesis z-test & Confidence Intervals
  • Chi Square Goodness of Fit Test
  • TI-NSPIRE Chi Square Goodness of Fit Test
  • Chi Square Test for Independence & Homogeneity
  • TI-NSPIRE Chi Square Test on 2 Way Tables
  • Chi Square Calculation by Hand
  • Linear Regression t test and Confidence Interval Corrected
  • Linear Regression t test and Confidence Interval
  • TI-NSPIRE Linear Regression t-test & Confidence Interval of slope
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