Chevron Left
Zurück zu Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

Kursteilnehmer-Bewertung und -Feedback für Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions von Rice University

984 Bewertungen
152 Bewertungen

Über den Kurs

The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course. To successfully complete course assignments, students must have access to Microsoft Excel. ________________________________________ WEEK 1 Module 1: Basic Data Descriptors In this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated. Topics covered include: • Categories of descriptive data • Measures of central tendency, the mean, median, mode, and their interpretations and calculations • Measures of spread-in-data, the range, interquartile-range, standard deviation and variance • Box plots • Interpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem ________________________________________ WEEK 2 Module 2: Descriptive Measures of Association, Probability, and Statistical Distributions This module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions. Topics covered include: • Measures of association, the covariance and correlation measures; causation versus correlation • Probability and random variables; discrete versus continuous data • Introduction to statistical distributions ________________________________________ WEEK 3 Module 3: The Normal Distribution This module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. Topics covered include: • Probability density function and area under the curve as a measure of probability • The Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel ________________________________________ WEEK 4 Module 4: Working with Distributions, Normal, Binomial, Poisson In this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two. Topics covered include: • Various applications of the Normal distribution • The Binomial and Poisson distributions • Sample versus population data; the Central Limit Theorem...



Aug 23, 2017

The course has been designed in a manner to give maximum understanding of the concept. The Quizzes are really grilling. and helps you strengthen the knowledge gained from the lecture videos.


Jun 15, 2017

This course was great. Although the concepts introduced are complex, the instructor breaks them down and gives relatable, real-world style examples to easily explain the application.

Filtern nach:

26 - 50 von 148 Bewertungen für Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

von Aline C

Oct 21, 2018

von Lalit J

Oct 30, 2018

von Gregory R G J

Nov 20, 2018

von jorge l

Jun 04, 2018

von shadrack B

Dec 11, 2016

von Alex M

Mar 02, 2018

von Andras F

Feb 02, 2018

von kaila v d r

Jun 19, 2017

von Pam B

Jan 24, 2018

von Ashok A

Dec 11, 2017

von Sean E B

Oct 29, 2017

von Hamilton C d R

Oct 16, 2017

von Harshavardhan S R

Dec 03, 2017

von Oladapo O

Mar 08, 2017


Feb 28, 2018

von Ricardo M

Feb 02, 2017

von Linglu M

May 23, 2017


Jun 22, 2017

von Diego F

Jan 23, 2018

von Corry A

Jun 15, 2017

von saurabh m

Jul 31, 2017

von Sofia L

Jul 04, 2018

von Ren P

Apr 18, 2017

von Fairness P

May 15, 2017

von Padmaja D

Apr 19, 2018