L2

• Equation for the mean (average): Population

  • µ = ΣX / N

  
• sample mean

  
• Equation for population variance:

  
• Equation for sample standard deviation:

  • Measure of variation in a set of data

  
• Bigger sample size (n) leads to smaller error in statistics
• sample standard deviation

  
• Central Tendency: The mean, median, and mode of a set of data.
• Measures of central tendency include the mean, median, and mode.
• Dispersion


  -scattering of values of frequency distribution from the mean -
• Dispersion

  1. variance
  2. Standard deviation
• $μ$


  mean of a population

  greek letter
• Mean of a sample 


  X̄
• Standard Deviation of a population


  σ
• standard deviation of a sample

  s
• Variance of a population


  σ2
• variance of a sample


  S^2
• sample size of a population


  N
• sum of squares


  SS
• sum of squares


  SS
• sample variance


  S^2

  
• Standard Error

  SE

  - bigger sample size (n) minimizes error

  
• Range

  • Xmax-Xmin
• • ALL of the organisms
  • measured by parameters
  • denoted by greek letters

  population
• Sample

  • group of individuals
  • measured by statistics
  • denoted by Latin letters
• sum of squares:


  SS