DATASET: https://dasl.datadescription.com/datafile/babysamp-98/?_sfm_cases=80+200

Normal No Spacing Heading 1 Heading 2 DATASET: Website https://dasl.datadescription.com/datafile/babysamp-98/? sfm_cases=80+200 1. Make one Bivariate Analyses (plus its interpretation) and two Univariate. Primary objective: To explore whether it is more or less likely to have a premature baby when the mother is younger or older than the average. Secondary Objective: Is there a correlation between the child's sex and whether they were premature and is there a correlation between the baby's weight and sex. Categorical Variables: . Sex of the baby (listed as "M" for male or "F" for female), status as premature or not (listed as "true" for premature or "false" as mature) Numerical Variables: . Weight at birth, gestation period, mom's age, number of live births, and education of the mother (in years, based on the academic system rather than vocational schools)