inferential statisitical test

• statisitical tests

  A) sign test

  B) chi - squared

  C) chi-squared

  D) nominal data

  E) ordinal data

  F) interval data

  G) test of difference

  H) unrelated

  I) related

  J) correlation

  K) spearmans rank

  L) wilcoxon

  M) mann whitney

  N) unrelated t test

  O) related t test

  P) pearsons r

  
• converting interval to ordinal

  each participant is assigned a rank score to turn the interval measures into an ordinal measure. this is done by lising each participant from highest to lowest scores.
• converting ordinal to nominal

  separate categories are created - the highest-ranked half of the participants are assigned to one categorie and, the other half to the other catergorie
• inferential statistics

  use the data collected from the sample to make inferences about the behaviour of the entire target poplation
• one tailed

  directional
• two tailed

  non directional
• template sentance


  as the observed/calculated value ( ), is (greater/less) than the critic value, ( ) we must (accept/reject) the alternate hypothesis as (p<0.05/p<0.01) for a (one/two) tail test
• table of critical values

  1. find the calculated value in stem
  2. identify the number of participants (n)/degrees of freedom (df)
  3. identify levels of significance used. This should be 0.05
  4. identify if the test is one tailed/directional or two tailed/non directional - no previous research
  5. is the critical value greater or less than the calculated vlaue
• Type 1 error - false positive

  occurs if an investigator rejects a null hypothesis that is true in the population
• Type 2 error - false negative

  occurs if the investigator fails to reject a null hypothesis that is actually fake