Scanning Electron Microscope A To Z - Basic Knowledge For Using
Since the Scanning Electron Microscope (SEM) was first commercialized about 40 years ago the SEM has shown a remarkable progress.
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Slightly more than half of the. 300 million people living in the U.S. are sensitive to one or more allergens.* They sneeze their noses run and their eyes.
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CONTENT OUTLINE
¾Overview of z-Scores
¾Probability & Normal Distribution
¾Distribution of Sample Means
Z-SCORES 2
OVERVIEW OF Z-SCORES
Z-SCORES 3
OVERVIEW OF z-SCORES
¾Student A earned a score of 76 on an exam
How many points were possible?
o76 out of 80? Not bad! o76 out of 100? Not so great! How does a score of 76 compare to other students? o76 the lowest score in the class? oAnyone earn a score higher than 76?Z-SCORES 4
OVERVIEW OF z-SCORES
¾z-Score
standardized value that specifies the exact location of an X value within a distribution by describing its distance from the mean in terms of standard deviation units¾Standard Deviation Unit
Standardized value
1 SD unit = value of 1 SD before standardizationZ-SCORES 5
OVERVIEW OF z-SCORES
Z-SCORES 6
SCORE LOCATION
¾z-Scores describe the exact location of a score within a distribution Sign: Whether score is above (+) or below (-) the mean Number: Distance between score and mean in standard deviation units¾Example
z = +1.00
oSign: positive (+) so score is above the mean oNumber: 1.00 SD units from the meanZ-SCORES 7
SCORE LOCATION
¾Example
z = - .50
oSign: negative (-) so score is below the mean oNumber: .50 SD units from the meanZ-SCORES 8
FORMULA: RAW SCORE ĺZ-SCORE
¾Transform raw score (X value) to z-Score
Numerator = Deviation Score
Denominator = Standard Deviation
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