Normal Distribution Curve by Mededia Intern: Suha Tayyeb, MSIV RMU скачать в хорошем качестве

Normal Distribution Curve by Mededia Intern: Suha Tayyeb, MSIV RMU

The normal distribution curve, also known as the Gaussian curve or the bell curve, is used to illustrate continuous data. For example, heights, blood pressure, weight, test scores, etc. It is characterized by the following: 1. Bell Shaped curve 2. Asymptotic (either end of the curve does not touch the x-axis) 3. Bilaterally symmetrical 4. Total area under the curve is one 5. The Mean, median, mode is numerically equal and equal to zero 6. Standard Deviation (SD) rule of 1SD=68% (μ +/-34.1%) 68% of the data falls within one standard deviation of the mean. 2SD=95% (μ +/47.5%) 95% of the data falls within two standard deviations of the mean. 3SD=99.7% (μ +/49.6%) 99.7% of the data falls within three standard deviations of the mean. 7. Mean is denoted by mu (μ) and standard deviation by sigma (σ) Timestamps 0:13 Normal distribution curve 0:32 Characteristics of the curve 1:44 Standard deviation rule 3:22 Use of normal distribution curve 4:24 Intro to MS Excel 5:04 Calculating values for distribution curve in Excel 11:33 Inserting a distribution graph in Excel Check out Suha Tayyeb's YouTube channel: Last braincell shows the life of a medical student who intends to enjoy every moment of this journey And hopes to bring you along on her ride. Just raw emotions and smiles on the loose!    / @lastbraincell5   If interested in our internship program, please visit http://mededia.com/intern​ Join our Facebook group:   / mededia​​   Follow us on other platforms:   / mededia1​​     / mededia1​​     / mededia1​​   Follow Dr. Tariq:   / umartariqmd​​     / umartariqmd​​     / umartariqmd​