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some thumb point rules when you are going to interpretation your result in Spss


when you are doing research at the end the thing that you should do is interpretation in which you are goona to use IBM or SPSS. ibm is the latest version of SPSS and widely used now a day.

important tips that you should note before interpreting your result.


1. first of all your check your variable that you are measuring

is your data is consist of independent and dependent variable ....or you are checking ratio of one disorder on whole population,....and  if you want to check how one population is different from others .you should take a note what your variables is measuring...

2....after making the decision of your variable you should have to put your data in spss or ibm version which are you using now....mostly people using bow ibm version 21

3....after that check the normality of data from frequency distribution ...which is in descriptive statistics....and then proceed further

  • for one varable

if your data has one varaible and we want to check how this data is different from the whole population ..e,g we want to check if the result of this college is batter from the result of the all colleges of this country we use if our data is normal
one sample t test
  • for 2 varables


if we want to measure mean difference between variables but the variables should be 2 not more then 2. if our data is normal we use 
independent sample t-test
rather for not normal data we use
mann whitney U test
e.g we want to measure the mean difference between males and females on depression we use above methods
  • for more then 2 variables

if we have more then 2 varables and our dat is normal and we want to measure mean differences we use 
one way anova

if your data is not normal we use 
kruskal wills test 


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