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

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UVMSTAT 111Jacob William MartinFall

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

OC11813273 Page
30 Aug 2017
0
Stats is all about data: collecting, describing (summarizing, visualizing), analyzing data. Data: set of measurements taken on a set of individual unit
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UVMSTAT 111Jacob William MartinSpring

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

OC19606552 Page
8 Apr 2019
0
Z* = standard normal z* is always the same, regardless of the data. Confidence interval : statistic +/- z* x standard error. Z-statistic : (statistic -
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UVMSTAT 111Jacob William MartinFall

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

OC11813274 Page
25 Oct 2017
0
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
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UVMSTAT 111Jacob William MartinFall

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

OC11813272 Page
17 Oct 2017
0
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
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UVMSTAT 111Jacob William MartinFall

STAT 111 Lecture Notes - Lecture 5: Histogram, Box Plot, Summary Statistics

OC11813272 Page
15 Sep 2017
0
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UVMSTAT 111Jacob William MartinFall

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

OC11813274 Page
13 Sep 2017
0
Section 2. 2 one quantitative variable: shape and center. Shape: symmetric, skewed (left-skewed or right-skewed, determine which direction it is skewed
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UVMSTAT 111Jacob William MartinFall

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

OC11813272 Page
5 Sep 2017
0
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
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UVMSTAT 111Jacob William MartinSpring

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

OC19606551 Page
14 Jan 2019
0
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
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UVMSTAT 111Jacob William MartinFall

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

OC11813272 Page
8 Sep 2017
0
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
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UVMSTAT 111Jacob William MartinSpring

STAT 111 Lecture Notes - Lecture 7: Scatter Plot

OC19606552 Page
6 Feb 2019
0
Used for detecting patterns, trends, relationships, and extraordinary values. A positive association means that the values of one variable tend to be h
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UVMSTAT 111Jacob William MartinSpring

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

OC19606552 Page
1 Feb 2019
0
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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UVMSTAT 111Jacob William MartinSpring

STAT 111 Lecture 4: Lecture 4

OC19606552 Page
28 Jan 2019
0
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