# 學生對 莱斯大学 提供的 Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions 的評價和反饋

4.7
1,754 個評分
290 條評論

## 課程概述

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...

## 熱門審閱

EM

Aug 27, 2020

This is one of the best courses i have atended since, the exercises are all related to the topic.Great job. .\n\nThanks to Mr Sharad Borle for explaining very well the content in this course .

GG

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.

## 251 - Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions 的 275 個評論（共 286 個）

Dec 31, 2016

It was a clear explanation to the statistical, and the examples are

Dec 01, 2019

it is interesting, but with more examples it would add more value.

Apr 27, 2020

Topics covered well. Good basic understanding of topics covered.

Jun 27, 2020

The course was really good and was a good learning experience

May 21, 2020

A bit slow but well explained which make it somewhat easy.

Aug 02, 2020

that was a lot harder than course 1 and really tests you.

Apr 24, 2019

Very nice course, helped to clear my basic understanding.

Jul 05, 2019

Useful refresher for business context of statistics

Dec 02, 2019

Good course, learned some really new applications.

Aug 08, 2018

Rigorous and rewarding when you put the work in.

Oct 14, 2019

short, concise, informative and practical

Jun 04, 2020

need more practice sums with each video

Jul 18, 2018

good to understand and explaination

Jul 16, 2020

It was a very informative course.

Jun 17, 2019

Excelente course, I recommend it.

Sep 01, 2020

Great course! great learning

Jul 19, 2020

Very basic. Easy to learn.

May 12, 2020

Very useful course

Jun 13, 2020

VERY INSIGHTFUL!

Oct 15, 2019

Great content

Oct 26, 2018

excellent!

Aug 23, 2020

perfecto

Mar 08, 2018

Very goo

Mar 29, 2020

great!

Apr 02, 2019

The class was great. I learned a lot and the material was easy to follow. The only thing that was unfortunate was the lack of engagement on the discussion boards from the class, and more so the professors. I commented in week 1 and it took over a week for a reply. I stopped participating because the forums were months old since the last post. My other courses were so much more involved. I value the discussion boards which is why this class receives less stars.