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Learner Reviews & Feedback for Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions by Rice University

4.7
stars
2,672 ratings

About the Course

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...

Top reviews

RA

Aug 29, 2020

Improve assessment to be more learning oriented...many questions in the quiz of week 3 have no clarity and can result into several interpretations by learners...otherwise great course.

SL

Jul 3, 2018

Loved studing and learning about normal distributions, continuous vs discrete data and how to estimate probabilities by different distributions approach. Learning is fascinating

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226 - 250 of 435 Reviews for Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

By Ponciano R

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May 15, 2018

Excellent course and teacher!!!!

By Adriano F d F J

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Sep 18, 2017

Excelent concepts and exercises.

By Elizabeth N M

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Sep 17, 2021

The lessons are short and clear

By Kundan K

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Mar 11, 2018

Nice course and well explained.

By saurabh m

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Jul 31, 2017

a very well articulated course.

By Varun K M

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Jun 8, 2022

its an good topics to be learn

By Ashok A

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Dec 11, 2017

Super teachings by Sharad Sir.

By Fairness P

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May 14, 2017

Great course. I learned a lot!

By Pranav K

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Dec 20, 2021

It was really a Nice Course!!

By Dr. D P S

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Sep 8, 2020

Really it is 5 Starse course.

By Akshay S

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Sep 15, 2017

Learned a lot in a brief time

By Vi A D

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Dec 10, 2020

very informative and helpful

By Alfredo C

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Nov 14, 2020

Great Course, great Teacher!

By Ruiqi D

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Sep 7, 2018

Excellent course! Thank you!

By Gabriel F H

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Aug 20, 2017

Great course and materials!!

By Abid I

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Aug 29, 2020

very friendly for beginners

By ken k

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Aug 25, 2020

Thanks. So interesting !!!!

By bhola p

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May 11, 2018

Sharad sir is just amazing.

By MIHIR P

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Sep 7, 2021

Great course for beginners

By David E

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May 7, 2020

Excellent course material.

By Ann O

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Nov 12, 2021

it was a great experience

By Sahib Q

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Jan 31, 2021

Thank you for the course!

By Pablo J B

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May 30, 2020

Detailed and interesting!

By Riky I

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Mar 25, 2017

Clear and concise, great!

By Shivam B

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Dec 30, 2021

this cource is very good