Rank #1: #23 Academic Writing

Writing an academic report or article mainly follows a specific structure, format and style since academic papers differ from all other media most people are familiar with (e.g. news-paper article)
Dec 20 2020
24mins
Rank #2: #22 Multidimensional Scaling

Multidimensional scaling is a statistical procedure to translate distances and dissimilarities into a visual representation. In social science it is used to visualize social relations among people and groups
Dec 02 2020
15mins
Rank #3: #21 Multiple Regression Analysis

We use multiple regression analysis to determine the relation between many (multiple) independent variables and one single dependent variable
Dec 02 2020
13mins
Rank #4: #20 Factor Analysis

Factor analysis reduces complexity of data by extracting a few factors. It delivers underlying coordinates in an otherwise complicated set of variables. We use factor analysis for instance to understand the basic independent dimensions of personality
Dec 02 2020
24mins
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Rank #5: #19 Variance Analysis

We use variance analysis (ANOVA) to compare variance within and between groups. It is a method to test hypothesis that is in particular suitable for experimental designs. Once there are more than one independent variables we name this MANOVA
Dec 01 2020
28mins
Rank #6: #18 Hypothesis Testing

In social science we estimate the probability of the null hypothesis being wrong even though it might be true. Should we reject or accept the null hypothesis over the alternative hypothesis? This is an essential idea in inferential statistics
Dec 01 2020
18mins
Rank #7: #16 Estimating Mean and Standard Deviation of Population

While we know the mean and standard deviation of our sample we don’t know the real ones. That’s why we estimate. There is a reason, why using n-1 instead of N when estimating standard deviation of the population based on a sample.
Dec 01 2020
18mins
Rank #8: #17 Z Distribution

With z transformation you can transform any kind of variable into a variable that has a mean of 0 and a standard deviation of 1. By doing so, variables become comparable. It’s an essential idea when it comes to inferential statistics.
Dec 01 2020
10mins
Rank #9: #15 Bivariate Statistics

Bivariate statistics help to understand the statistical relation between the independent and the dependent variable. Once you test a hypothesis you always need this kind of statistics.
Oct 26 2020
23mins
Rank #10: #14 Descriptive Statistics

Descriptive statistics involves methods, that describe the central tendency and dispersion of data. In most practical cases they relate to single (univariate) variables.
Oct 26 2020
33mins