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# Class Notes for Statistics at University of Toronto Scarborough

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##### STAB22H3 Lecture Notes - Lecture 12: Scatter Plot, Microsoft Powerpoint, Dependent And Independent Variables 24HRPremium

STAB22 - Lecture 12 - Outliers, High Leverage Points, Influence, Cautions Restricted Range (February 13th, 2019) Cautions about Sample Sizes and Statistical Significance You should be able to Interpretation of regression ...

Statistics
STAB22H3
Caren Hasler, Mahinda Samarakoon
##### STAB22H3 Lecture 11: Patterns in Residual Plots, Outliers, Leverage, & Influence 24HRPremium

find more resources at oneclass.com STAB22 Lecture 11 - Patterns in Residual Plots, Outliers, Leverage, & Influence (February 11th, 2019) Residual Plots Remember that in p...

Statistics
STAB22H3
Caren Hasler, Mahinda Samarakoon
##### STAB22H3 Lecture 10: Correlation and Its Properties, Correlation & Causation, Linear Regression & Least Square Regression Lines, Coefficient of Determination, Residuals 24HRPremium

find more resources at oneclass.com STAB22 - Lecture 10 - Correlation and Its Properties, Correlation & Causation, Linear Regression & Least Square Regression Lines, Coefficient of Determination, Residuals ...

Statistics
STAB22H3
Caren Hasler, Mahinda Samarakoon
##### STAB22H3 Lecture 9: Normal Quantile Plots, 68-95-99.7 Rule, Scatterplots, Correlation and it's Properties 24HRPremium

find more resources at oneclass.com STAB22 - Lecture 9 - Normal Quantile Plots, 68-95-99.7 Rule, Scatterplots, Correlation and its Properties (February 4th, 2019) Normal Quantile Plots Th...

Statistics
STAB22H3
Caren Hasler, Mahinda Samarakoon
##### STAB22H3 Lecture 8: Model, Normal Calculations, Inverse Calculations and Z-table 24HRPremium

STAB22 Lecture 8 - Model, Normal CalculationsInverse CalculationsZ-table Model The z-score helps us understand how weird a value can be, if it doesnt follow the usual trend. In order to see this, we need to model the distr...

Statistics
STAB22H3
Caren Hasler, Mahinda Samarakoon
##### STAB22H3 Lecture 7: Box Plot Diagrams, Density Curves, Normal Distribution, Mean, Standard Deviation, Z-Scores & Standardization 24HRPremium

find more resources at oneclass.com STAB22 - Lecture 7 - Box Plot Diagrams, Density Curves, Normal Distribution, Mean, Standard Deviation, Z-Scores & Standardization, Boxplot Its a 5 num...

Statistics
STAB22H3
Caren Hasler, Mahinda Samarakoon
##### STAB22H3 Lecture Notes - Lecture 26: Null Hypothesis, Confidence Interval, Interval Estimation 24HRPremium

STAB22 Lecture 26 Statistical Tests Friday, November 30 , 2018 Last Class We Learned About: o Confidence Interval An interval estimate computed from the statistics of the observed data May contain the true value of an unkn...

Statistics
STAB22H3
Caren Hasler
##### STAB22H3 Lecture Notes - Lecture 25: Confidence Interval, Ipsos, Interval Estimation 24HRPremium

STAB22 Lecture 25 Confidence Intervals and Statistical Tests th Tuesday, November 27 , 2018 Confidence Interval o An interval estimate computed from the statistics of the observed data o May contain the true value of an un...

Statistics
STAB22H3
Caren Hasler
##### STAB22H3 Lecture Notes - Lecture 24: Central Limit Theorem, Sampling Distribution, Standard Deviation 24HRPremium

STAB22 Lecture 24 Sampling Model Theorems in Statistics Friday, November 23 , 2018 Sampling Distribution o Statistics can change from one sample to another Sample count Sample mean X Sample proportion o They are random o T...

Statistics
STAB22H3
Caren Hasler
##### STAB22H3 Lecture Notes - Lecture 23: Bernoulli Distribution, Bernoulli Trial, Random Variable 24HRPremium

STAB22 Lecture 23 Calculations for Models of Random Variables Tuesday, November 20 , 2018 Last Week We Learnt About: o The Bernoulli Model A Bernoulli random variable has exactly two possi...

Statistics
STAB22H3
Caren Hasler
##### STAB22H3 Lecture Notes - Lecture 22: Bayes Estimator, Random Variable, Squared Deviations From The Mean 24HRPremium

STAB22 Lecture 22 Models of Random Variables Friday, November 16 , 2018 Last Week we learnt about: o Bayes Rule P (BA) = [P (B) P (AB)] [P (B) P (AB) + P (B^C) P (AB^C)] We use Bayes rule for many probability problems Prob...

Statistics
STAB22H3
Caren Hasler
##### STAB22H3 Lecture Notes - Lecture 21: Sample Space, Bayes Estimator 24HRPremium

STAB22 Lecture 21 Probability Rules Examples Tuesday, November 13 , 2018 Last week we learned about: o General Multiplication Rule For two events A and B both have a positive probability, the general multiplication rule st...

Statistics
STAB22H3
Caren Hasler
##### STAB22H3 Lecture Notes - Lecture 20: Bayesian Probability, Sample Space 24HRPremium

STAB22 Lecture 20 Probability Rules in Statistics Friday, November 9 , 2018 Last week we learned about: o Probability and what it is o Key terms in probability: Events Trials Sample space Observations o Probability types T...

Statistics
STAB22H3
Caren Hasler
##### STAB22H3 Lecture Notes - Lecture 19: Sample Space, Bayesian Probability 24HRPremium

STAB22 Lecture 19 Productivity in Statistics Tuesday, November 6 , 2018 Last week: o We learned about Observational studies vs. experiments Ethical experiments Sample space o The sample space of a random phenomenon is the ...

Statistics
STAB22H3
Caren Hasler
##### STAB22H3 Lecture Notes - Lecture 18: Observational Study, Block Design, Random Assignment 24HRPremium

STAB22 Lecture 18 Experiments in Statistics Friday, November 2ed, 2018 Week 9 Observational study vs. experiment o Observational study Observes individuals and measures variables of interest but does not attempt to influen...

Statistics
STAB22H3
Caren Hasler
##### Statistics - Reference Guides

This Guide provides an easy to follow summary of all basic principles that are the foundation to Statistics and Probabilities. Using a combination of charts and sample equations, the key concepts are developed and the esse...

Econometrics
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