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Learning Human Body Statistics
Gilburt Ebbings
Faculty of psychotherapies
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Human Body
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Descriptive Statistics
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Statistical Data
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100%
Learning Styles
100%
Knowledge Skills
50%
Collection Organization
50%
Group of People
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Set Data
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Synthetic Data
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Observational Error
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Statistical Test
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Blunders
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50%
Error Types
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Typical Value
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Object Grouping
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Inferential Statistics
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Census Data
50%
Probability Theory
50%
Random Noise
50%
Type I Error
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Statistical Procedures
50%
Missing Data
50%
Design of Experiments
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Statistical Relationship
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Statistical Population
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Statistician
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Measurement Process
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Diverse Groups
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Analyst Reports
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Data Interpretation
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Biased Estimation
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Random Variation
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Social Problems
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Lev Vygotsky
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Human Learning
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Ability to Learn
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Semiotics
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Required Sample Size
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Human Animals
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INIS
learning
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humans
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statistics
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data
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hypothesis
43%
errors
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populations
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children
18%
people
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values
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distribution
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randomness
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environment
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variations
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animals
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psychology
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surveys
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sampling
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statistical data
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size
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comparative evaluations
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psychological behavior
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death
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interactions
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birth
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units
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attitudes
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planning
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atoms
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lifetime
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data analysis
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noise
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crystals
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experiment design
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stoves
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central nervous system
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Psychology
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Descriptive Statistics
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Sample Survey
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Inferential Statistics
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Random Phenomenon
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Synthetic Data
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Central Tendency
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Sample Distribution
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Sample Design
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Statistical Model
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Probability Theory
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Statistical Method
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Statistical Relationship
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Measurement Process
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Statistical Procedure
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Biased Estimate
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False Negative
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Mathematical Statistic
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Statistical Test
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Random Noise
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Sampling Error
25%
Random Variation
25%
Type II error
25%
Population Distribution
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Null
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Standard Deviation
25%