The term normal score is used with two different meanings in statistics. One of them relates to creating a single value which can be treated as if it had arisen from a standard normal distribution (zero mean, unit variance). The second one relates to assigning alternative values to data points within a dataset, with the broad intention of creating data values than can be interpreted as being approximations for values that might have been observed had the data arisen from a standard normal distribution. The first meaning is as an alternative name for the standard score or z score, where values are standardised by subtracting the sample or estimated mean and dividing by the sample or other estimate of the standard deviation. Particularly in applications where the name "normal score" is used, there is usually a presumption that the value can be referred to a table of standard normal probabilities as a means of providing a significance test of some hypothesis, such as a difference in means. The second meaning of normal score is associated with data values derived from the ranks of the observations within the dataset. A given data point is assigned a value which is either exactly, or an approximation, to the expectation of the order statistic of the same rank in a sample of standard normal random variables of the same size as the observed data set. Thus the meaning of a normal score of this type is essentially the same as a rankit, although the term "rankit" is becoming obsolete. In this case the transformation creates a set of values which is matched in a certain way to what would be expected had the original set of data values arisen from a normal distribution. (Wikipedia).
The Normal Distribution (1 of 3: Introductory definition)
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From playlist The Normal Distribution
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From playlist Statistics (Full Length Videos)
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From playlist The Normal Distribution
Introduction to the Standard Normal Distribution
This video introduces the standard normal distribution http://mathispower4u.com
From playlist The Normal Distribution
Normal Distribution: Find Probability Given Z-scores Using a Free Online Calculator
This video explains how to determine normal distribution probabilities given z-scores using a free online calculator. http://dlippman.imathas.com/graphcalc/graphcalc.html
From playlist The Normal Distribution
Normal Distribution: Find a Z Score and a Data Value (General)
This video explains how to determine a z-score and how to use a z-score to determine a data value. http://mathispower4u.com
From playlist The Normal Distribution
Normal Distribution: Find Probability Given Z-scores Using a Free Online Calculator (MOER/MathAS)
This video explains how to determine normal distribution probabilities given z-scores using a free online calculator. https://oervm.s3-us-west-2.amazonaws.com/stats/probs.html
From playlist The Normal Distribution
This lesson explains how to determine a z-score and how to find a z-score for a given data value. The percent of data above and below a data value and z-score is also found. Site: http://mathispower4u.com
From playlist The Normal Distribution
Normal Distribution: Use the Empirical Rule to Find Percent of Scores Less Than Or Equal to X
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From playlist The Normal Distribution
The Normal Probability Distribution in Business Statistics (Week 10B)
The normal distribution is the most important distribution in all of statistics. We learn about the characteristics fo the curve and how to create z-scores in a standard normal curve. To find probabilities under the curve, this example uses Normal_Distribution_z_MultiTool_RbD.xlsx (link be
From playlist Basic Business Statistics (QBA 237 - Missouri State University)
Recorded: Spring 2015 Lecturer: Dr. Erin M. Buchanan This video covers the basic concepts behind z-scores, how to calculate them, and find percentages under the curve. Note: This video has an unfortunate amount of background noise and will be replaced sometime in the future. Lecture ma
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standardized scores and determining mean and std dev from percentiles of scores
From playlist Unit 2: Normal Distributions
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From playlist Statistics Playlist 1
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The normal curve is the most important distribution in statistics. When distributions differ from normality, we describe them with kurtosis (leptokurtic, platykurtic, mesokurtic), with skewness (positive or negative), and with modality (unimodal, bimodal, multimodal). In addition to those
From playlist Basic Business Statistics (QBA 237 - Missouri State University)
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From playlist The Normal Distribution
Find Percentile with Mean and Standard Deviation (Normal Curves) | Statistics
We go over how to find percentiles with mean and standard deviation for a normal distribution, using a calculator (similar to TI-83) and a standard normal table. We discuss two problems, one where we are given a value and asked to calculate its percentile, and another where we are given a
From playlist Statistics
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Z-scores called standardized scores are normally distributed
From playlist Unit 2: Normal Distributions
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Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn how to use the standard score, kind of in reverse. We will find what score, x=?, is required for you to be in the top 5
From playlist THE "HOW TO" PLAYLIST
Continuous uniform distribution and the standard normal distribution "Z"
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From playlist Exam 2 material