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StatisticsStatistical InferenceRegression AnalysisAnalysis Of Variance (ANOVA)

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英語

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シラバス - 本コースの学習内容

1
2時間で修了

Before we get started...

[formatted text here]

...
1件のビデオ (合計3分), 10 readings
1件のビデオ
10件の学習用教材
Hi there10 分
How to navigate this course10 分
How to contribute10 分
General info - What will I learn in this course?10 分
Course format - How is this course structured?10 分
Requirements - What resources do I need?10 分
Grading - How do I pass this course?10 分
Team - Who created this course?10 分
Honor Code - Integrity in this course10 分
Useful literature and documents10 分
5時間で修了

Comparing two groups

In this second module of week 1 we dive right in with a quick refresher on statistical hypothesis testing. Since we're assuming you just completed the course Basic Statistics, our treatment is a little more abstract and we go really fast! We provide the relevant Basic Statistics videos in case you need a gentler introduction. After the refresher we discuss methods to compare two groups on a categorical or quantitative dependent variable. We use different test for independent and dependent groups.

...
9件のビデオ (合計55分), 5 readings, 4 quizzes
9件のビデオ
1.04 Power6 分
1.05 Two independent proportions6 分
1.06 Two independent means6 分
1.07 Two dependent proportions5 分
1.08 Two dependent means5 分
1.09 Controlling for other variables7 分
5件の学習用教材
Comparing two groups - Drawing inferences10 分
Comparing two groups - Independent groups10 分
Comparing two groups - Dependent groups10 分
Comparing two groups - Controlling for other variables10 分
Comparing two groups - Transcripts10 分
1の練習問題
Comparing two groups36 分
2
3時間で修了

Categorical association

In this module we tackle categorical association. We'll mainly discuss the Chi-squared test that allows us to decide whether two categorical variables are related in the population. If two categorical variables are unrelated you would expect that categories of these variables don't 'go together'. You would expect the number of cases in each category of one variable to be proportionally similar at each level of the other variable. The Chi-squared test helps us to compare the actual number of cases for each combination of categories (the joint frequencies) to the expected number of cases if the variables are unrelated.

...
6件のビデオ (合計47分), 4 readings, 2 quizzes
6件のビデオ
2.04 Chi-squared as goodness-of-fit7 分
2.05 The Chi-squared test - sidenotes8 分
2.06 Fisher's exact test6 分
4件の学習用教材
Categorical association - Chi-squared test for association10 分
Categorical association - Chi-squared test for goodness of fit10 分
Categorical association - Sidenotes and an alternative to the Chi-squared test10 分
Categorical association - Transcripts10 分
1の練習問題
Categorical association30 分
3
3時間で修了

Simple regression

In this module we’ll see how to describe the association between two quantitative variables using simple (linear) regression analysis. Regression analysis allows us to model the relation between two quantitative variables and - based on our sample -decide whether a 'real' relation exists in the population. Regression analysis is more useful than just calculating a correlation coefficient, since it allows us assess how well our regression line fits the data, it helps us to identify outliers and to predict scores on the dependent variable for new cases.

...
9件のビデオ (合計50分), 4 readings, 2 quizzes
9件のビデオ
3.04 Predictive power5 分
3.05 Pitfalls in regression6 分
3.06 Testing the model5 分
3.07 Checking assumptions5 分
3.08 CI and PI for predicted values5 分
3.09 Exponential regression5 分
4件の学習用教材
Simple regression - Describing quantitative association10 分
Simple regression - Drawing inferences10 分
Simple regression - Exponential regression10 分
Simple regression - Transcripts10 分
1の練習問題
Simple regression34 分
4
3時間で修了

Multiple regression

In this module we’ll see how we can use more than one predictor to describe or predict a quantitative outcome variable. In the social sciences relations between psychological and social variables are generally not very strong, since outcomes are generally influences by complex processes involving many variables. So it really helps to be able to describe an outcome variable with several predictors, not just to increase the fit of the model, but also to assess the individual contribution of each predictor, while controlling for the others.

...
8件のビデオ (合計50分), 4 readings, 2 quizzes
8件のビデオ
4.04 Individual tests6 分
4.05 Checking assumptions4 分
4.06 Categorical predictors6 分
4.07 Categorical response variable6 分
4.08 Interpreting results7 分
4件の学習用教材
Multiple regression - Model10 分
Multiple regression - Tests10 分
Multiple regression - Categorical predictors, categorical response variable and example10 分
Multiple regression - Transcripts10 分
1の練習問題
Multiple regression42 分
4.4
82件のレビューChevron Right

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コース終了後に新しいキャリアをスタートした

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コースが具体的なキャリアアップにつながった

11%

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Inferential Statistics からの人気レビュー

by NDFeb 13th 2018

Incredibly dense (which they warn you about) so the lecutres fly over so much important info it's hard to keep track of even with a strong focus. A very good overview though.

by YZApr 15th 2016

I understood inferential statistics better with this course. Both teachers made the concepts clear for me. The R homework helps me review inferential statistics methods.

講師

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Annemarie Zand Scholten

Assistant Professor
Economics and Business
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Emiel van Loon

Assistant Professor
Institute for Biodiversity and Ecosystem Dynamics

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Methods and Statistics in Social Sciencesの専門講座について

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions. This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods....
Methods and Statistics in Social Sciences

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