As explained in class this assignment involves data analysis of Friendly Market data using Jamovi $($or other statistical software of your choice$)$ and making recommendations to the owner of Friendly Market to improve the store's marketing strategy.

Is there a relationship between COMMUTE $($Commuter vs Local$)$ and shopping at Friendly Market$/$Circle K$.$ Create two cross tabs $($one crosstab with Friendly vs Commute and another crosstab with CircleK vs Commute$),$ interpret the tables; make recommendations for Friendly Market based on your analysis.

Brand Loyalty Analysis:

As shown in class first create a brand loyalty for the total sample $($all respondents$).$ Compute three different measures of Brand Loyalty for Friendly Market and Circle K$.$ Compare the brand loyalty levels and then make recommendations for what Friendly Market can do$.$

Next select cases for "Locals" $($COMMUTE$=0)$ by filtering the data. Then create a "Brand Loyalty" table for Locals and compute $3$ different measures for Brand loyalty for Friendly Market and Circle K for the Locals.

Next select cases for "Commuters" $($COMMUTE$=1)$ and repeat the above analysis.

Now compare the brand loyalty levels based on the above two tables. Based on this what recommendations you will make to Friendly Market.

For both the questions above make sure you copy paste your tables from Jamovi to a word document and then follow it with your interpretation of the tables, followed by your recommendations.