Log transformation demonstration with TI-84/83. This video will also review how to find least squares regression lines and making residual plots. I will also show how to remove the log function from your linear regression line to make either an exponential or power model for the original data.

1. Stem Plots in Statistics
2. Histograms in Statistics
3. Making histograms, boxplots,and timeplots with a graphing calculator
4. Catagorical Graphs in Statistics
5. Describing Distributions in Statistics
6. Determining Skewness In Ogive Graphs
7. Resistance, Mean, Median, 5 Number Summary and BoxPlots
8. Standard Deviation Preview and IQR Test
9. Distribution Shapes, Ogive Graphs, and Time Plots
10. Standard Deviation and Linear Transformations
11. Density Curves, Empirical Rule & Normality, Z-score Intro
12. Normal Probability Plots & the TI-84
13. z-score Calculations & Percentiles in a Normal Distribution
14. TI-NSPIRE Z score to Pval & Pval to Zscore NormCDF invNorm
15. Scatter Plot Intro and Lurking Variables defined
16. Intro of Corellation "r" to measure linear strength
17. Outlier vs Influential Point
18. Regression lines, Residual plots, and Correlation with TI-NSpire
19. Least Squares Regression Line Notes
20. Regression Lines and Correlation with TI-84
21. Log Transformation Part 1
22. Log Transformations Part 2
23. Log Transformations with a TI-NSPIRE
24. Histogram, Boxplot, Dot Plot, & Normal Prob Plot on TI-NSPIRE
25. Scatter Plot, Linear Reg, Correlation & Residuals with TI-NSPIRE
26. Log Transformations with TI-84
27. Simpson's Paradox
28. Relationship between catagorical variables in a 2 way table
29. Log Tranformation with TI-NSPIRE
30. Causation Defined & 5 Key Checks for Signs of Causattion
31. Sampling Techniques Part 1
32. Sampling Techniques Part 2
33. Cautions about Sample Surveys, Causes of Bias, and Inference defined
34. Sampling Techniques & Cautions (Full Length)
35. Experimental Design Part 1
36. Experimental Design Part 2
37. Simulation Notes for Statistics
38. Intro to Probabilities in Statistics (Full Length)
39. Intro to Probabilities Part 1
40. Intro to Probabilities Part 2
41. Intro to Probabilities Part 3
42. General Probability Rules (Full Length)
43. General Probability Rules Part 2
44. General Probability Rules Part 1
45. Discrete & Continuous Random Variables (Full Length)
46. Discrete & Continuous Variables Part 1
47. Discrete & Continuous Variables Part 2
48. TI-NSPIRE Discrete Random Variable Mean & Standard Deviation
49. Combining Means and Variance in Statistics
50. Combining Means and Variance Examples
51. Binomial Setting & Binomial Distribution in Statistics Pt 1
52. Binomial Setting & Binomial Distribution in Statistics Pt 2
53. Geometric Setting & Distribution in Statistics
54. Calculating 1-Var Statistics with a TI-NSPIRE
55. Intro to Sample Mean Distribution and Central Limit Theorem
56. 1 Sample Mean Z-Test Example
57. Introduction of Sample Proportions
58. Example of 1 Sample Proportion Z-test
59. N-SPIRE 1 Proportion Z-Test Example
60. Intro to Confidence Intervals & 1 Sample Mean z Interval
61. 1 Sample Mean t-Confidence Interval
62. Matched Pairs t Confidence Interval
63. 1 Sample Proportion z Confidence Interval
64. Significance Hypothesis Test Intro & Matched Pairs t-Test
65. 2 Sided Hypothesis Tests & Confidence Intervals
66. Type 1 Error Type 2 Error Power 1 Sample Mean Hypothesis z-Test
67. Power of a T Test 1 Sample Mean
68. Power 1 Sample Proportion z-Test (2 Sided)
69. 2 Sample Mean t-test & Confidence Interval
70. 2 Sample Mean Hypothesis t Test & Confidence Interval Example w/ TI-NSPIRE
71. 2 Proportions Pooled Hypothesis z-test & Confidence Intervals
72. Chi Square Goodness of Fit Test
73. TI-NSPIRE Chi Square Goodness of Fit Test
74. Chi Square Test for Independence & Homogeneity
75. TI-NSPIRE Chi Square Test on 2 Way Tables
76. Chi Square Calculation by Hand
77. Linear Regression t test and Confidence Interval Corrected
78. Linear Regression t test and Confidence Interval
79. TI-NSPIRE Linear Regression t-test & Confidence Interval of slope

In this series, the very helpful and fun math teacher Mr. Rob Tarrou teaches students everything they need to know to get a 5/5 on their AP Statistics exam by the College Board. His videos are friendly, easy to understand, entertaining, and very well organized, all thanks to Mr. Tarrou great dedication to teaching and enthusiasm for mathematics