# Class Notes for STAT 111 at University of Vermont (UVM)

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## STAT 111 Lecture Notes - Lecture 1: Dependent And Independent Variables, Categorical Variable, Human Hair Color

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Stats is all about data: collecting, describing (summarizing, visualizing), analyzing data. Data: set of measurements taken on a set of individual unit

View Document## STAT 111 Lecture Notes - Lecture 16: Confidence Interval, Null Hypothesis, Statistical Hypothesis Testing

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Z* = standard normal z* is always the same, regardless of the data. Confidence interval : statistic +/- z* x standard error. Z-statistic : (statistic -

View Document## STAT 111 Lecture Notes - Lecture 14: Publication Bias, Randomized Experiment, Statistical Hypothesis Testing

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Smaller p-value the stronger the evidence against ho. 2 possible conclusions of formal hypothesis: p-value is small, reject the null hypothesis in favo

View Document## STAT 111 Lecture Notes - Lecture 13: Monty Hall Problem, Monty Hall, Null Hypothesis

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There are 3 doors (door 1,2,3) behind 2 doors are 2 goats and behind the other door is a car. Monty hall examines the other doors (1,3) and always open

View Document## STAT 111 Lecture Notes - Lecture 4: Interquartile Range, Standard Deviation, Minimax

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Section 2. 2 one quantitative variable: shape and center. Shape: symmetric, skewed (left-skewed or right-skewed, determine which direction it is skewed

View Document## STAT 111 Lecture Notes - Lecture 2: Confounding, Dependent And Independent Variables, Randomized Experiment

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2 variables are associated if values of one variable tend to be related to values of another. 2 variables are causally associated if changing the value

View Document## STAT 111 Lecture Notes - Lecture 1: Dependent And Independent Variables, Categorical Variable, Data Set

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Regardless of your field, interests, lifestyle, etc. you will most definitely have to make decisions based on data. Data set of measurements taken on a

View Document## STAT 111 Lecture Notes - Lecture 3: Statistical Parameter, Summary Statistics, Descriptive Statistics

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In order to make sense of data, we need ways to summarize and visualize: type of summary statistics and visualization methods depend on type of variabl

View Document## STAT 111 Lecture Notes - Lecture 7: Scatter Plot

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Used for detecting patterns, trends, relationships, and extraordinary values. A positive association means that the values of one variable tend to be h

View Document## STAT 111 Lecture Notes - Lecture 5: Standard Deviation, Percentile, Interquartile Range

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The standard deviation for a quantitative variable measure the spread of the data. The standard deviation gives a rough estimate of the typical distanc

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