A=0, b=6, c=4, d=0 ab+200= 6+200=206

ID=00010640

a=0, b=6, c=4, d=0

ab+200= 6+200=206

bc+100=64+100=164

cd+10= 40+10=50

Section A:

1. 
   0.7918
   
2. 
   48076.0
   
3. 
   536.6094
   
4. 
   85.34031
   
5. 
   45
   
6. 
   33.7532
   
7. 
   35195.36
   
8. 
   551.6364
   
9. 
   47
   
10. 
    3383.717
    

Section B:

Question 1

Mean of male = 4835.387 Mean of female = 4930.539

Hypothesis:

H₀=M_f-M_m=0

H_a=M_f-M_m>0

I used one-sided right-tail t-test.

Rejection region: rejection H₀ if P value>P α

T stat = 0.2736 Tcrit = 1.649

As P value = 0.3923 P α = 0.05, we fail to reject H₀.

There is no enough evidence that married female have higher credit limit than not married male.

Question 3

One-Way ANOVA test is the most appropriate type

1. 
   Each population from which a sample is taken is assumed to be normal.
   
2. 
   All samples are randomly selected and independent.
   
3. 
   The populations are assumed to have equal variances.
   
4. 
   The factor is a categorical variable (factor).
   
5. 
   The response is a numerical variable.
   

H₀ : μ₁ = μ₂

H_a : at least one mean score is different

Rejection rule : Reject H₀ if p-value < α or F_stat F_critic

α= 0.06

F_critic= 3.04

F_stat= 0.377

0.377<3.04

Decision : Fail to reject H₀

Conclusion: there is no enough proof to claim that Ethnicity has any significant impact on Income.