$\backslash$table$[[$Miami$,$ FL$,687],[$Mobile$,$ AL$,248],[$New Orleans, LA$,466],[$Newark$,$ NJ$,4,650],[$Norfolk$,$ VA$,1,335],[$Oakland$,$ CA$,1,252],[$Philadelphia$,$ PA$,339],[$Port Everglades, FL$,449],[$Port Hueneme, CA$,87],[$Port Manatee, FL$,56],[$San Diego, CA$,71],[$San Juan, PR$,295],[$Savannah$,$ GA$,2,481],[$Seattle$,$ WA$,1,479],[$Tacoma$,$ WA$,1,366],[$Tampa$,$ FL$,75],[$West Palm Beach, FL$,136],[$Wilmington$,$ DE$,206],[$Wilmington$,$ NC$,132]]$

$($a$)$ Which is busiest container port in terms of TEUs processed?

$\backslash$table$[[\backslash$table$[[$Baltimore$,$ MD$],[$Boston$,$ MA$],[$Charleston$,$ SC$],[$Chester$,$ PA$],[$Everett$,$ WA$],[$Freeport$,$ TX$],[$Gulfport$,$ MS$],[$Houston$,$ TX$],[$Jacksonville$,$ FL$],[$Long Beach, CA$]],\backslash$table$[[$Llos Angeles, CA$],[$Miami$,$ FL$],[$Mobile$,$ AL$],[$New Orleans, LA$],[$Newark$,$ NJ$],[$Norfolk$,$ VA$],[$Oakland$,$ CA$],[$Philadelphia$,$ PA$],[$Port Everglades, FL$],[$Port Hueneme, CA$]],\backslash$table$[[$Port Manatee, FL$],[$San Diego, CA$],[$San Juan, PR$],[$Savannah$,$ GA$],[$Seattle$,$ WA$],[$Tacoma$,$ WA$],[$Tampa$,$ FL$],[$West Palm Beach, FL$],[$Wilmington$,$ DE$],[$Wilmington$,$ NC$]]]]$

Which is the least busy container port in terms of TEUs processed?

$\backslash$table$[[\backslash$table$[[$Baltimore$,$ MD$],[$Boston$,$ MA$],[$Charleston$,$ SC$],[$Chester$,$ PA$],[$Everett$,$ WA$],[$Freeport$,$ TX$],[$Gulfport$,$ MS$],[$Houston$,$ TX$],[$Jacksonville$,$ FL$],[$Long Beach, CA$]],\backslash$table$[[$Los Angeles, CA$],[$Miami$,$ FL$],[$Mobile$,$ AL$],[$New Orleans, LA$],[$Newark$,$ NJ$],[$Norfolk$,$ VA$],[$Oakland$,$ CA$],[$Philadelphia$,$ PA$],[$Port Everglades, FL$],[$Port Hueneme, CA$]],\backslash$table$[[$Port Manatee, FL$],[$San Diego, CA$],[$San Juan, PR$],[$Savannah$,$ GA$],[$Seattle$,$ WA$],[$Tacoma$,$ WA$],[$Tampa$,$ FL$],[$West Palm Beach, FL$],[$Wilmington$,$ DE$],[$Wilmington$,$ NC$]]]]$

$($b$)$ Using a class width of $500$ develop a frequency distribution of the data starting with $0-499,500-999,1,000-1,499,$ and so on$.$

$\backslash$table$[[$TEUs Processed $(1,000$s$),$Frequency$],[0-499,],[500-999,],[1,000-1,499,10],[1,500-1,999,0],[2,000-2,499,3],[2,500-2,999,2],[3,000-3,499,],[3,500-3,999,],[4,000-4,499,],[4,500-4,999,]]$

$($c$)$ Prepare a histogram. Interpret the histogram.

The shape of the distribution is skewed to the right widehat$($~~$)$

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