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Training

Language Course

Statistics I (SSC2061)

UNI-2- Statistics-I-SSC2061

Are you just not getting the hang of that one subject? Are you looking for a structured way to learn a lot? With our training courses, you dive into the material very intensively.

Wil je je spreekvaardigheid verbeteren? Of wil je professionele e-mails (beter) leren schrijven? Misschien wil jij je simpelweg comfortabeler voelen in het spreken van een andere taal?

Jij leert de taal zoals jij die nodig hebt!

Rates

Individually

€31.00 per hour.

Group lessons

€15.50 per hour.

Early-bird discount

Available until April 15, 2023.

Learn structured material and study skills

More confidence and less stress

Focused and motivated learning

Learn a foreign language in a structured way

More confidence in using language

Focused and motivated learning

General information

Level

University College Maastricht

Contents

All exam material

Working method

Location

In consultation between student-tutor and participant(s).

Planning

In consultation between student-tutor and participant(s).

Duration

Differs per session, check the program for this.

About the student lecturer

[titel(Charting data)beschrijving(We will discuss the following concepts and questions: What is a good variable?; How to know how to display our data?; How can we describe our data? Topics include: Types of variables; How to display data; Frequency tables; Mode, median, mean; Cumulative percentages; Standard deviation; Outliers; Quartiles; Symmetry.)duur(90 minutes)]

[titel(Populations and samples)beschrijving(We will discuss the following concepts and questions: How to choose a population for the study?; How to know if the chosen population is good enough? Topics include: Sampling distributions; Parameters vs estimators; Standard error; Bias; Normal distribution and Central Limit Theorem; Randomness; Probabilities under a normal distribution; Z-scores and z-tables.)duur(150 minutes)]

[titel(Hypothesis testing)beschrijving(We will discuss the following concepts and questions: How do I create a hypothesis?; How confident can I be if I reject the null hypothesis?; Are statistics error-proof? Topics include: Null and alternative hypotheses; P-value[s]; Significance levels; Confidence intervals; Margin-of-error; Type I error; Type II error.)duur(150 minutes)]

[titel(T-tests)beschrijving(We will discuss the following concepts and questions: How many independent variables do I have, and how do I account for them? Topics include: Repeated measures t-test; Matched pairs t-test; Independent-samples t-test; Degrees of freedom; Power; Cohen’s D.)duur(150 minutes)]

[titel(Correlation and regression)beschrijving(We will discuss the following concepts and questions: Did X cause Y? Topics include: Regression coefficient; Least squares; Correlation [r and r^2]; Variance; Normality and Homoscedasticity.)duur(135 minutes)]

[titel(Categorical data)beschrijving(We will discuss the following concepts and questions: What to do when we do not have numbers. Topics include: X^2 for goodness of fit; X^2 for contingency tables; Z-test for proportions; Weighted variables; Contingency tables; Chi-Square.)duur(150 minutes)]

[titel(Exam)beschrijving(Exam simulation: 90-minutes exam questions, 90 minutes discussion.)duur(180 minutes)]

[titel(SPSS)beschrijving(Bring on your SPSS questions, and we will solve them together!)duur(90-120 minutes)]

Basic programme

00

Title

July 23, 2023

Topic

Here is a brief description.

45 minutes

[titel(Assessment of student’s need)beschrijving(In this session, the tutor engages one-on-one with a student to determine which sessions of the exam training program are most aligned with the student's specific needs.)duur(120 minutes)]

[titel(Where do I start?)beschrijving(Main concepts before you start the experiment. We will go through the main concepts needed for understanding statistics. The suggested format of this and following sessions is a question-and-answer type where the student defines concepts with the help of the tutor. Topics include: Types of variables; How to display data; Mode, median, mean, SD; Outliers; Normal distribution; Randomness and bias; Probabilities; Z-scores and z-tables.)duur(90 minutes)]

[titel(What can I say about my results, and how certain can I be about them?)beschrijving(Building on a strong understanding of variables acquired in lesson #1, we will look at how hypotheses can be created, and how we use the data to get to conclusions about our study. We will also look at the confidence and possible errors. Topics include: Null and alternative hypotheses; P-value[s]; Significance levels; Confidence intervals; Margin-of-error; Type I error; Type II error; Degrees of freedom; Power.)duur(90 minutes)]

[titel(How can I test my results, and where is the cause?)beschrijving(In this lesson, we will look at quantitative data analysis two ways: t-tests and correlation/regression analysis. We will review the concept of independent variables, and what to do when there are several. We will also review the ideas of cause and effect. Topics include: Repeated measures t-test; Matched pairs t-test; Independent-samples t-test; Cohen’s D; Regression coefficient; Least squares; Correlation [r and r^2]; Variance; Normality and Homoscedasticity.)duur(135 minutes)]

[titel(But my data is qualitative... what do I do then?)beschrijving(This final lesson of the crash course serves as an overview of tests that can be done with qualitative data. Topics include: X^2 for goodness of fit; Z-test for proportions; Weighted variables; Chi-Square.)duur(90 minutes)]

Abbreviated programme

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Language course

Statistics I (SSC2061)

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