What  Customers Are Saying  About  the Excel Statistical Master "We just started building statistical excel spreadsheets for our direct mail and online marketing campaigns, I purchased Excel Statistical Master to help fill in some of the blanks. Little did I know, this book has everything I could ever want to know about business statistics. Easy to follow and written so even a child could understand some of the most complex statistical theories. Thanks Mark!" Brandon Congleton Marketing Director www.worldprinting.com "After years of searching for a simplified statistics book, I found the Excel Statistical Master. Unlike the indecipherable jargon in the countless books I have wasted money on, the language in this book is plain and easy to understand. This is the best \$40 I have ever spent. " Mahdi Raghfar "I really like the Excel Statistical Master. It is incredibly useful. The explanations and videos in the manual are excellent. It has really made my work with statistics a LOT easier. I'm really glad that I came across the manual. If you're a student of business statistics, this e-manual is worth WAY more it's priced. I will use your manual as a reference for my MBA course this summer." Dr. Yan Qin Co-Director Nankai-Grossman Center for Health Economics and Medical Insurance
Excel
STATISTICAL
Master

Linear Regression Definition

Clear and Complete - WITH LOTS OF SOLVED PROBLEMS

# Normal Probability Basic Definition

The Normal Distribution is often used in a general way to refer to any data set that is a bell-shaped curve. Bell-shaped meaning that the data is clustered around a central mean and is evenly and decreasingly dispersed out from the mean in bell shape. Many phenomenon in nature occur in a bell-shaped curve. As more data are collected, the bell-shaped curve often more and more closely resembles an exact normal probability distribution curve.

The normal distribution's probability density function is given by the following formula:

f(x) = { 1 / [σ SQRT(2π)] } * exp [ - { (x - µ)2 / 2σ2 } ]

f(x) equals the probability that specific x value being a random sampled value from a normally-distributed data set whose mean = µ and standard deviation = σ.

The normal probability distribution is actually a group of statistical distributions whose probability density function, f(x), can be described by the above formula and only two parameters: the mean, µ, and standard deviation, σ.

The standard normal distribution occurs when the mean, µ, = 0 and the standard deviation, σ, = 1.

If You Like This, Then Share It...