I need to analyze a data set in SPSS using 2 techniques of the follwing: Identify technique(s) [must be an inferential technique covered in this course: t-test, ANOVA,chi-square, correlation. APA...

The given data consist of an individual level data that contains information about gender, age, race, educational qualification, job title, salary etc.
· ONE-WAY ANOVA
A One-Way ANOVA is done to find out whether there is any difference in the mean salary based on race.
The hypothesis for testing this is;
The null hypothesis is;
H0: There is no difference in the mean salary in different race groups.
The alternate hypothesis is;
H1: At least one group in races will have a different mean salary.
    Descriptives
    salary in dollars
    
    N
    Mean
    Std. Deviation
    Std. Error
    95% Confidence Interval for Mean
    Minimum
    Maximum
    
    
    
    
    
    Lower Bound
    Upper Bound
    
    
    1.00
    20865
    54271.01
    17774.391
    123.051
    54029.82
    54512.20
    0
    337771
    2.00
    20399
    50928.75
    18097.262
    126.709
    50680.39
    51177.11
    0
    196471
    3.00
    1944
    54561.30
    14827.820
    336.302
    53901.75
    55220.85
    95
    148910
    4.00
    2690
    52476.21
    13741.636
    264.949
    51956.69
    52995.74
    785
    133569
    5.00
    51852
    57139.29
    16844.550
    73.974
    56994.30
    57284.28
    0
    395402
    Total
    97750
    55051.40
    17378.965
    55.586
    54942.46
    55160.35
    0
    395402
Here, the code...