Chapter ?

• hypothesis 


  an evidence based statement on a relationship between variables
• null hypothesis


  a statement based on no relationship
• significant


  recognises that a statement can be proven untrue and that the effect shows a trend. it includes an element of falsification
• degrees of freedom


  number of independent pieces of information to calculate a statistic
• significant difference


  calculated t values from
• t-test


  used to calculate significant difference and tells us which hypothesis to use. compares the difference in means. assumption of random chance = null hypothesis, hope for a significant data yield = hypothesis
• unpaired t test


  uses 2 different data sets
• paired t-test


  used when 2 groups contain the same individuals
• significant data > 95% true

  is when the calculated value is greater than the critical value at P = 0.05. accept experimental hypothesis, reject null
• significant data < 95% true

  is when the critical value is greater than the calculated value at P=0.05, accept null hypothesis, reject experimental