Refer to the ‘store preference’ variable and the ‘gender’ variable in Table 1.
2.1. Constructacross-tabulationtableoffrequencycountsbetween‘storepreference’(as the row variable) and ‘gender’ (as the column variable) of shoppers surveyed. (6)
2.2. Display the cross-tabulation as a multiple bar chart. (8)
2.3. Constructapercentagecross-tabulationtabletoshowthepercentagesplitofgender for each grocery store. (6)
2.4. How many shoppers are male and prefer to shop at Checkers? (1)
2.5. What percentage of all grocery shoppers are females who prefer Pick n Pay? (1)
2.6. What percentage of all Checkers’ shoppers are female? (1)
2.7. Ofallmaleshoppers,whatpercentageprefertoshopatSparfortheirgroceries? (1)
2.8. Is there an association between gender and store preference (i.e. does store
preference differ significantly between male and female shoppers)?