Use the 2019 NHIS dataset (n=1,500) and codebook. Complete the tasks below and submit your work as a doc, docx, or pdf file by the due date. All tests of significance are 2-sided and alpha = 0.05, unless otherwise stated.

Use SPSS for this assignment.

Use the following variables:

POVRATTC_A: SA family poverty ratio (top-coded)

SMK30D_A: Number of days smoked in the past month

CIG30D_A: Number of cigarettes on days smoked in the past month

Remember to exclude refused, not ascertained, don't know, not applicable, and similar responses (if applicable) from the analysis.

1)These are some of the assumptions necessary to run a valid Pearson's correlation analysis:

A)Ordinal data

B)Independence - e.g., values of x+1 is independent of value of x

C)Values are normally distributed

D)There is a linear relationship

For each variable or combination of variables, if applicable, comment on whether each of the following assumptions is met. Explain why or why not. Include SPSS output if applicable. For each of the 3 combinations of the above variables, do you think that Pearson's correlation coefficient or Spearman's rank correlation coefficient more appropriate? Why? (5 points)

2)Conduct tests of significance for the correlation between all 3 combinations of the above variables. Use the correlation coefficient that you identified in #1 as more appropriate for each comparison.Include all of the steps for a hypothesis test that were presented during week 5. For each correlation coefficient. Explain what the correlation coefficient tells you about the direction and strength of the relationship between the 2 variables. (5 points)

Paste screenshots of your syntax and output here.