If the sample size is less then we can perform t- test, but for large sample what test I have to perform?
You can still use the t-test. Only for very small sample sizes you have to ensure normal distribution. Another option would be the Mann-Whitney-U-Test, which is more appropriate on non-normal distributed data.
For salary - as stated before, Independent t test (considering that te conditions are met) , and for designation you have to know the type of data. If it's categorical (A, B, C etc) then probably a Chi-square test is what u need (in SPSS you go to Analyis>Crosstab> Options). This will test if a certain gender is associated with a certain designation.
@Sergiu Chirilă, I have considered designation as categorical type variable.
I was just asking, because you started with a incorrect statement. The t test relies on some assumptions to give valid results, but a sample size below a fixed number is none of them.
If you want to differentiate the differences between males and females in salary and designation we should use MANOVA test (Hotelling t square).
Gary is correct, Dhruba. But if you really want another test, Z test of arithmetic mean difference between two large independent samples will do, You might be surprised to find out that the results of the t test (between two independent samples) and that of Z test will be the same.
This method may not be available in SPSS, though. Ed
Dear @Pedro M. Teixeir, here is the attachment
Table 1
gender of employees
female 38
male 62
Hi, Im looking for any instrument to study employee salary effecting retention, if you could share your instrument will be wonderful ([email protected])
- Badges
- Science topic