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Browse the full collection of course materials, past exams, study guides and class notes for STA130H1 - An Introduction to Statistical Reasoning and Data Science at University of …
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PROFESSORS
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Nathalie Moon
fall
9
winter
1
B White
winter
1
Liza Bolton
winter
12

Verified Documents for Liza Bolton

Class Notes

Taken by our most diligent verified note takers in class covering the entire semester.
STA130H1 Lecture Notes - Lecture 1: Leland Wilkinson, Histogram, Loess
Numerical (or quantitative) variables: each value of a variable is from a numerical scale, values are ordered and differences are meaningful, examples:
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STA130H1 Lecture Notes - Lecture 2: Random Variable, Data Wrangling, Linear Combination
The histogram of a variable is a graphical method to vizualize the distribution of a single variable. To construct a basic histogram: divide the data i
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STA130H1 Lecture Notes - Lecture 3: Rstudio, Data Science, Markdown
R objects: r lets you save data by storing it in a object, when you create an object, the object will appear in the environment pane of rstudio. Functi
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STA130H1 Lecture Notes - Lecture 4: Statistical Inference, Test Statistic, Null Hypothesis
Sometimes the goal of statistical work is to make conclusions or decisions based on the incomplete information we have in our data this procedure is kn
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STA130H1 Lecture Notes - Lecture 5: Null Hypothesis, Test Statistic, Sleep Deprivation
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STA130H1 Lecture Notes - Lecture 6: Quantile Function, Statistical Parameter, Percentile
So we measure a sample (the real world): a good sample is chosen randomly to ensure it is representative of the population. Parameters and statistics:
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STA130H1 Lecture Notes - Lecture 8: Oncology, Statistical Hypothesis Testing, Test Statistic
The test is a combination of: multiple choice, true / false, fill in the blanks, answers that require you to write some short answer (explain why / app
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STA130H1 Lecture Notes - Lecture 9: Unit Square, Terminal And Nonterminal Symbols, Tree Model
Classification trees: data was collected on 50 cancer patients to investigate the effectivness (yes/no) of a treatment. Two quantitative variables, , a
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STA130H1 Lecture Notes - Lecture 10: Confidence Interval, Randomized Experiment, Marginal Distribution
This is called an interaction term: including the term bty_avg*gender on the right-side of the model specification in lm includes the interaction term
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STA130H1 Lecture Notes - Lecture 11: Conjoined Twins, National Research Act, Neustar
Research ethics: medical and scientific research involving humans usually require approval and monitoring by an ethics board, uoft has several ethics r
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STA130H1 Lecture Notes - Lecture 12: Contingency Table, Confounding
Using the table function, creat a contingency tables showing the counts of women who were smokers/non-smokers at baseline and their survival outcomes a
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STA130H1 Lecture 13: More Examples
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