Introduction aux statistiques avec applications dans Stata

Introduction aux statistiques avec applications dans Stata

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360,00 €
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2 jours
Online via Teams
Stata

Overview

This intensive two-day course provides a foundational understanding of statistics with direct applications in Stata, preparing students for more advanced study in econometrics. The course balances theoretical knowledge with practical, hands-on data analysis skills.

Course Aims & Objectives

  • Develop a solid grounding in core statistical concepts essential for econometrics.

  • Acquire skills in data collection, analysis, presentation, and interpretation.

  • Explore descriptive statistics, probability theory, estimation, and hypothesis testing.

  • Gain practical experience using Stata for statistical analysis.

Key Skills Acquired

By the end of the course, students will be able to:

  • Summarise and analyse data using measures of location, variability, distribution, and association.

  • Understand and apply key probability concepts including conditional probability and Bayes’ theorem.

  • Employ sampling techniques and interpret sampling distributions.

  • Carry out interval estimation and hypothesis testing on real-world data.

  • Use Stata to apply statistical methods effectively.

Learning Outcomes

  • Statistical Literacy: Interpret and critically evaluate statistical information in real-world contexts.

  • Data Analysis Skills: Collect, organise, and analyse data using appropriate techniques.

  • Statistical Inference: Understand confidence intervals, p-values, and hypothesis testing to draw valid conclusions.

  • Applied Problem-Solving: Apply statistical reasoning to solve practical problems and make data-informed decisions.

Course Structure

Delivery Format: Two-Day Intensive

  • Lectures: 4 sessions (2 hours each)
  • Tutorials/Workshops: 2 sessions (2 hours each)

Agenda

Day 1:

Session 1: Descriptive Statistics and Probability, Part 1
  • Measures of Location: Mean, Median, Mode, Percentiles
  • Measures of Variability: Range, Variance, Standard Deviation
  • Distribution Shape: Z-scores, Chebyshev’s Theorem
Session 2: Descriptive Statistics and Probability, Part 2
  • Measures of Association: Covariance, Correlation
  • Probability Theory: Random Experiments, Events, Conditional Probability
  • Bayes’ Theorem
  • Introduction to Discrete and Continuous Distributions
Tutorial 1
  • Practical Applications in Stata
Day 2:

Session 3: Sampling, Estimation, and Hypothesis Testing, Part 1
  • Sampling Methods and Estimators
  • Central Limit Theorem
  • Properties of Estimators: Bias, Efficiency, Consistency
Session 4: Sampling, Estimation, and Hypothesis Testing, Part 2
  • Confidence Intervals for Means, Proportions, and Variance
  • Hypothesis Testing: Null and Alternative Hypotheses, Type I and II Errors, Power
  • Inference on Two Means, Proportions, and Variances
Tutorial 2
  • Applied Hypothesis Testing in Stata

Prerequisites

There are no specific prerequisites to attend the course but we reccomend viewing the below pre-course reading

 Reccomended Reading

 

Main Text 

  • Anderson, Sweeney, Williams, Camm and Cochran, (2019) “Statistics for Business & Economics”, Cengage 

 

Students may also find the following useful as further reading. 

  • Barrow, M. (2017) Statistics for economics, accounting, and business studies. Pearson. 
  • Newbold, P., W. Carlson and B. Thorne (2013) Statistics for Business and Economics. Pearson Education Edition. 
  • J.M. Wooldridge (2019) Introductory Econometrics: A Modern Approach, CENGAGE Learning Custom Publishing; 7th edition. 

Course Timetable

Subject to minor changes
Day Morning Session Afternoon Session (including Tutorial)
Day One 10am-12pm (London time) 1pm-5pm (London time)
Day Two 10am-12pm (London time) 1pm-5pm (London time)

Terms

  • Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).
  • Additional discounts are available for multiple registrations.
  • Delegates are provided with temporary licences for the software(s) used in the course and will be instructed to download and install the software prior to the start of the course.
  • Payment of course fees required prior to the course start date.
  • Registration closes 5-calendar days prior to the start of the course.
  • 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
  • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
  • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.

 

The number of delegates is restricted. Please register early to guarantee your place.

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