Can someone please explain this in detail? We are using R & R Studio

1. Assess the normality of the following variables: claim amount, coverage, household income, and deductible (explain whether or not the variables are normally distributed, are distribution symmetrical or skewed). Explain your findings and support with descriptives (numerical and/or graphical)

2. Is there a statistical relationship between claim amount and income? Explain your findings and support with descriptives (numerical and/or graphical)

3. Is there a statistical relationship between the type of claim and marital status?

Here is the data:

Insurance Data Variable Description Variable Full name Type Description Values claimid Claim ID Nominal Unique claim ID incident_date Incident Date Date Date incident occurred claim_type Type of claim Nominal Cause of claim 1 - Wind/hail, 2 - Water damage 3 - Fire/smoke, 4 - Contamination 5 - Theft/Vandalism Uninhabit Property uninhabitable Nominal 0 - No, 1 - Yes claim_amount Cost of claim Ratio Cost of claim in thousands $ fraudulent Fraudulent Nominal Fraudulent claim 0 - No, 1 - Yes policy_id Policy ID Nominal policy_date Policy date Date Date policy went into effect Coverage Coverage Ratio Amount of coverage in thousands $ deductible Deductible Ratio Deductible amount Townsize Town size Nominal Size of the hometown 1 - > 250000, 2 - 50000-249999 3 - 10000-49999, 4 - 2500-9999 5 - <2500 Gender Gender Nominal Gender of insured person 0 - Male, 1 - Female Dob Date of birth Date ed_cat Education category Nominal 1 - Didn't complete high school 2 - High school degree 3 - Some college 4 - College degree 5 - Post-undergraduate degree job_start Job start Date Employment starting date retire Retired Nominal 0 - No, 1 - Yes income Household income Ratio Household income in thousands $ marital Marital status Nominal 0 - Unmarried, 1 - Married reside Residence size Ratio Number of people in household occypancy_date Date of occupancy Date primary_res Property is primary residence Nominal 0 - No, 1 - Yes