The Greater Accra Regional health directorate made publicly available birth and infant death data for all children born in the region. Records on birth data go back to 2000. The shared data is an abridge dataset representing two variables of interest, namely Marital Status coded (1 = married, 2 = not married) and Low coded (0 = Infant was not low birth weight; 1 = infant was low birth weight). The data represents a random sample of 60 of those births and selected variables. Below is the data.

Create a table that cross-tabulates the counts of each mother’s marital status (MARITAL) and whether she had a low-birth-weight baby (LOW).

a) Find the probability a mother selected at random in this sample had a low-birth-weight baby. b) Find the probability a mother selected at random in this sample was married.

c) Find the probability a mother selected at random in this sample had a low-birth-weight child given that she was married.

d) Find the probability a mother selected at random in this sample had a low-birth-weight child given that she was not married.

e) Find the probability a mother selected at random in this sample had a low-birth-weight child and the mother was married.

f) Is there a relationship between Marital Status and Low-birth-weight? Justify your result.

Subject Marital ID Status 1 1 2 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 2 2 1 2 2 2 1 2 1 1 2 2 2 2 1 2 2 2 Low HOOOOO- 1 1 OOHOOOHOO 0 0 1 0 0 0 1 1 0 0 Subject ID 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Marital Status 1 2 2 2 1 2 1 1 2 2 2 2 2 1 2 1 1 2 2 2 Low 1 1 0 1 1 0 0 0 0 1 0 0 1 1 1 0 1 0 1 1 Subject Marital ID Status 41 2 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 1 2 2 2 1 2 2 2 1 2 1 1 2 2 1 2 2 2 1 Low 0 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1