Translation of "Deskriptive statistik" in English

Methodologically we rely on descriptive statistics as well as multivariate cross-sectional regressions.

It can perform descriptive statistics, T-tests, linear regression and non-parametric tests.

They can use descriptive statistics in their own investigations and correctly interpret statistical values.

They can use descriptive statistics in their own investigations and correctly interpret simple statistics terminology.

Descriptive statistics present the information in an organised way so that it is easier to interpret.

Descriptive statistics are distinguished from inferential statistics (or inductive statistics), in that descriptive statistics aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent.

And as we begin our journey into the world of statistics, we will be doing a lot of what we can call descriptive statistics.

And if you said any of those things, you would actually have done the same things that the people who first came up with descriptive statistics said.

The course gains insight into qualitative research methods (preparation of interview guidelines, basic idea of hermeneutic circle, data analysis by paraphrasing, generalisation and reduction), quantitative research methods (construction of rating scales, simple questionnaires, overview about descriptive and inferential statistics), and theoretical research methods (preparation of argumentation guideline, literature research, proof and conclusion).

The subsequent seminar "Descriptive Statistics" (Deskriptive Statistik) teaches specifically sociological proficiency in descriptive statistics and software supported data processing with SAS, on the basis of the lecture and exercise course.

Topics include descriptive statistics, elementary probability, probability distributions, sampling distributions, estimation, hypothesis testing, linear correlation and regression, and chi-square testing.

The module comprises the lecture "Economic and Social Statistics" (Wirtschafts- und Sozialstatistik), a corresponding exercise course, a subsequent seminar "Descriptive Statistics" (Deskriptive Statistik) and a tutorial.

The descriptive statistics include not only all common statistical key figures but also tests for outliers and normal distribution Scatter-, Q-Q- and box-plots are easily producible.

Descriptive statistics is a branch of statistics which tries to describe observed data by collective parameters.

First we Introduce the idea of statistical thinking before we procede to descriptive statistics.

We used descriptive statistics for the mean value calculation of age.

The distribution of discussion style preferences was determined using descriptive statistics (N=28).

Reminder of the basic principles of discrete and continuous descriptive statistics.

The major influencing parameters are analysed by statistical methods of descriptive statistics.

Statistical Inference is a logical continuation to the descriptive statistics.

Statistics for economists builds on the descriptive statistics for all students from Leuphana semester.

After a brief description of the statistical software R, important parameters and diagrams of descriptive statistics are introduced.

The primary objective was to assess long-term safety and tolerability for naloxegol 25 mg and to compare with usual care treatment using descriptive statistics.

The primary objective was to compare safety and tolerability among the three treatment groups for an additional 12 weeks (beyond that observed in Kodiac 4) using descriptive statistics.

In statistics, dispersion (also called variability, scatter, or spread) denotes how stretched or squeezed a distribution (theoretical or that underlying a statistical sample) is.