AP Statistics
Displaying Data
Making histograms, boxplots,and timeplots with a graphing calculator
Catagorical Graphs in Statistics
Describing Distributions
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
Density Curves & Normal Distributions
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
Z score Calculations and Calculator Normcdf InvNorm Probabilities
TI-NSPIRE Z score to Pval & Pval to Zscore NormCDF invNorm
Scatter Plots & Linear Regression Model
Scatter Plot Intro and Lurking Variables defined
Intro of Corellation "r" to measure linear strength
Regression lines, Residual plots, and Correlation with TI-NSpire
Least Squares Regression Line Notes
Regression Lines and Correlation with TI-84
Log Transformations with a TI-NSPIRE
Use of Graphing Calculator
Histogram,Boxplot,Dot Plot, & Normal Prob Plot on TI-NSPIRE
Scatter Plot, Linear Reg, Correlation & Residuals with TI-NSPIRE
Log Transformations with TI-84
Log Tranformation with TI-NSPIRE
Introduction to Categorical Variables
Relationship between catagorical variables in a 2 way table
Evidence of Causation
Causation Defined & 5 Key Checks for Signs of Causation
Sampling Techniques and Experimental Design
Cautions about Sample Surveys, Causes of Bias, and Inference defined
Sampling Techniques & Cautions (Full Length)
Simulation Notes for Statistics
Probabilities
Intro to Probabilities in Statistics (Full Length)
General Probability Rules (Full Length)
General Probability Rules Part 2
General Probability Rules Part 1
Discrete & Continuous Variables
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 Variances
Combining Means and Variance in Statistics
Combining Means and Variance Examples
Binomial and Geometric Setting
Binomial Setting & Binomial Distribution in Statistics Pt 1
Binomial Setting & Binomial Distribution in Statistics Pt 2
Geometric Setting & Distribution in Statistics
One Sample Mean & Central Limit Theorem One Sample Proportions
Calculating 1-Var Statistics with a TI-NSPIRE
Intro to Sample Mean Distribution and Central Limit Theorem
Introduction of Sample Proportions
Example of 1 Sample Proportion Z-test
N-SPIRE 1 Proportion Z-Test Example
Understanding One Sample Confidence Intervals
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
One Sample Significance Tests & Power
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)
Two Sample Significance Tests & Confidence Intervals
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
TI-NSPIRE Discrete Random Variable Mean & Standard Deviation
Chi Square
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
Linear Regression t test and Confidence Interval Corrected