ESMT Master in Management (MIM) Intro Stats

ESMT Master in Management (MIM) Intro Stats

 

The Institute for Statistics Education is pleased to provide online course augmentation (6 hours) for ESMT-Berlins's Decision Theory course.

Aim of Course:

ESMT-Berlin, Master’s in Management (MIM) is partnering with Statistics.com to offer an online introductory course designed to augment the ESMT Decision theory course, adding 5-6 hours of statistics. This online course includes course materials, online assistant teachers, course hosting, evaluation and notification of successful course completion (pass/fail) through Statistics.com. 

Course Program:

WEEK 1:  Study Design, Statistical Significance

  • Intro, Study Design
  • Measures of Central Location and Variability
  • Distance
  • Data Format
  • Variables
  • Graphs
  • Null Hypothesis
  • Resampling
  • Normal Distribution
  • Significance

Homework in this course consists of short answer problems, and includes exercises that require the use of computer software.

This course also has supplemental readings available online and video illustrations. All instructional activities provided by Statistics.com will be in English.

ESMT Master in Management (MIM) Intro Stats

Who Should Take This Course:
This course is exclusively offered by ESMT-Berlin European School of Management and Technology for their Master’s in Management (MIM) students.
Level:
Introductory/ Beginner
Prerequisite:

Basic arithmetic, some exposure to Excel, and a willingness to learn new software.

For fun, you might try these self tests.

Organization of the course: This one-week online course includes readings, videos, hands-on exercises, and a private discussion forum with the instructor. 

Time Requirement:  About 5-6 hours during the week, at times of your choosing.

Credit: An end-of-course assessment of homework performance (pass/fail) will be submitted.

Due Date of final homework: October 2nd.

Course Text:

The text for this course is Introductory Statistics and Analytics: A Resampling Perspective by Peter Bruce, (2014, Wiley).  This course material will be provided electronically (pdf), with updates, as part of the course.

You may wish to purchase the book as a reference to retain after the course is over:  Introductory Statistics and Analytics: A Resampling Perspective

Software:

This is a 1-week course and we have designed it so that you can complete most of this course and answer most of the exercises without using software.  On the other hand, software is an essential part of statistical work, so the use of software is discussed in the readings and exercises.  If you want to use software, here are the details:

We recommend one of these options:

  1. Regular Excel (not Excel Starter) and Box Sampler
  2. Regular Excel (not Excel Starter) and Resampling Stats for Excel
  3. StatCrunch
  4. R

Excel: you will need to have some facility with using formulas in Excel. If you don't, please review either this tutorial or this tutorial before the course starts.

Box Sampler: this is a free add-in for Excel, designed as a visual teaching and learning tool for doing resampling simulations. Runs only on Windows.  Installation file is here, documentation here.

Resampling Stats for Excel: this is a commercial add-in for Excel, designed as a practitioner's tool for doing resampling simulations. A free license is available to all course participants, while they are enrolled in the Statistics.com sequence of introductory statistics courses. Runs only on Windows. Enrolled students will be given access to a free 1-year trial of Resampling Stats through the software download link.  You can also visit the Resampling Stats website and download the 1-year trial here.

StatCrunch: this is a very affordable web-based statistical software program, which also has simulation and resampling capabilities. Runs over the web, so can be used with both Windows and Mac. Resampling is not as intuitive as with Box Sampler and Resampling Stats for Excel.  Learn more at www.statcrunch.com.

NOTE for StatCrunch Users:  On all platforms, we recommend that you use the New version of StatCrunch.  All examples in the textbook supplement are based on the New version of StatCrunch.

R: R is a powerful opensource statistical scripting language that is widely recognized as an industry standard.  You will need to have familiarity with R and RStudio prior to taking the Statistics 1, 2 or 3 courses if you choose to use R as your software package.  Comprehensive supplemental materials are available for R users.  You can learn more about R here and RStudio here.

Instructor(s):

Dates:

All courses have already commenced.

ESMT Master in Management (MIM) Intro Stats

Instructor(s):

Dates:
All courses have already commenced.

Course Fee: $0 Prepaid - ESMT students - as you register, select the "bill me later" option. The $50 service charge will be removed.

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

Group rates: Click here to get information on group rates. 

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

 

Register Now

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.

The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).

Prepaid Tuition- ESMT students - as you register, select the "bill me later" option. The $50 service charge will be removed.

Contact Us
Have a question about a course before you register? Call us. We're here for you. (571) 281-8817 or ourcourses (at) statistics.com

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