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Class Notes for SOC202H1 at University of Toronto St. George (UTSG)

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UTSGSOC202H1Scott SchiemanWinter

Measures of central tendency

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Provides an estimate of the typical, usual, or normal score found in a distribution of raw scores. Sum of all scores in a distribution divided by the n
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UTSGSOC202H1Scott SchiemanSummer

ANOVA

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UTSGSOC202H1Scott SchiemanWinter

SOC202H1 Lecture Notes - Sample Size Determination, Statistical Parameter, Sampling Error

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UTSGSOC202H1Scott SchiemanWinter

SOC202H1 Lecture Notes - Research Question, Dependent And Independent Variables, University Of New Hampshire

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Sample distribution - sample statistics especially means - what"s the spread and the central tendency. Looking at the distribution of the sample statis
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UTSGSOC202H1Scott SchiemanWinter

SOC202H1 Lecture Notes - Standard Deviation

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Statistical imagination - thinking about groups & patterns also about comparison: causes & consequences, how do we think about the connections, social
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UTSGSOC202H1Scott SchiemanWinter

SOC202H1 Lecture Notes - Critical Thinking, Null Hypothesis, Thought Experiment

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First 3 classes just to get class engaged and interested. Sociology of mental health will be used to bring interest. Samples: age of anxiety said in th
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UTSGSOC202H1Scott SchiemanWinter

SOC202H1 Lecture Notes - Linear Regression, Null Hypothesis, Statistic

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Ch15 bivariate correlationship and regression: hypothesis testing. Larger slope and smaller standard error yield stronger evidence against the null hyp
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UTSGSOC202H1Markus SchaferFall

SOC202H1 Lecture Notes - Lecture 10: Directional Statistics, Stellar Population, General Linear Model

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Linear regression: a linear equation is the tool for formally expressing the relationship in a scatterplot, this simple equation is known as the regres
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UTSGSOC202H1Irene BoeckmannFall

SOC202H1 Lecture Notes - Lecture 5: Statistical Inference, Statistical Parameter, Statistic

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Introduction to quantitative methods lecture 5: areas under the normal curve can be interpreted in two ways: Probability (of picking observations at ra
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UTSGSOC202H1Markus SchaferWinter

SOC202H1 Lecture Notes - Lecture 1: Univariate, Pie Chart, Ordinal Data

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Sociology is an empirical discipline- rely upon data and draw on conclusions based on the collected data. Observable data is needed to evaluate claims
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UTSGSOC202H1Scott SchiemanWinter

SOC202H1 Lecture Notes - Statistical Hypothesis Testing, Sampling Distribution, Null Hypothesis

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Bivariate relationships: t-test for comparing the means of two groups. Prediction provides the connection between statistical analysis and probability
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UTSGSOC202H1Scott SchiemanWinter

SOC202H1 Lecture Notes - Linear Regression, Scatter Plot, Linear Equation

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Correlation a systematic change in the scores of two interval/ratio. Used only when there"s a linear relationship between x and y. Graphical representa
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