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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...

Principales reseñas

EM
26 de ago. de 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
22 de ago. de 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.

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201 - 225 de 300 revisiones para Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

por William B

30 de may. de 2017

Amazing course!

por Vipul R G

5 de jul. de 2020

Thank you Prof

por Uchenna V O

14 de abr. de 2020

Very organised

por Jyothi

24 de feb. de 2020

Good Learning!

por Akash P

14 de oct. de 2018

Super teaching

por Wendy N

18 de abr. de 2018

GREAT COURSE!!

por Mohammad R

10 de nov. de 2020

Enjoyed a lot

por Manuel G P G

5 de nov. de 2020

Great course!

por Esther K

13 de ago. de 2018

Great course!

por ZHOUZHOU

29 de nov. de 2017

Great course!

por Iñigo A

26 de ago. de 2020

Very useful.

por Pratyush A

1 de ago. de 2020

Good course.

por Jesse M

2 de may. de 2020

cool teacher

por Gabriel A F G

20 de sep. de 2020

Buen curso.

por Muhammad L b Y

23 de jun. de 2020

Challenging

por Chirag S

2 de abr. de 2018

Nice course

por enrique a r

7 de feb. de 2019

fantastic!

por Gregory R G J

20 de nov. de 2018

Thumbs Up!

por Deep S

29 de ago. de 2020

Excellent

por Hari S

5 de jul. de 2020

great....

por Dhulipalla U

6 de may. de 2020

EXCELLENT

por Anurag T

25 de jun. de 2020

Amazing

por Prof S S G

31 de jul. de 2020

Superb

por Sun

17 de feb. de 2018

Easy!

por Navoda M K

21 de jul. de 2020

good