Question: The data set that I chose is asking the question: Should travelers avoid flying airlines that have had crashes in the past? This data set

The data set that I chose is asking the question: "Should travelers avoid flying airlines that have had crashes in the past?"

This data set compares the safety records of major commercial airlines over the past 30 years including all crashes, whether or not the cause is known. In looking at the top 56 airlines globally, there is little consistency in any major airlines when it comes to crashes. For example, Avianca (major carrier for Columbia) had multiples crashes in the early 1990's, but has had zero crashes since. Also, Kenya Airlines had zero crashes until 2000, but has since has multiple incidents.

The data trend appears to show that when travelers look at an airlines track record for crashes, they can infer the possibility of future crashes. A better way for travelers to view the trend of this data set is to view the data on airlines from developing countries. Travelers insistent on minimizing risk should avoid flying airlines from developing countries.

After researching the data, I would make the claim that a two-tailed test would be needed to be able to show both above and below the mean number of crashes for major commercial airlines.What would be my null and alternative hypothesis? Or how would I get this information?

The data set that I chose is asking the question: "Should travelers

Incidents, Fatal Accidents And Fatalities Per trillion available seat kilometers *Includes regional subsidiaries 1985-1999 2000-2014 FATAL FATAL INCIDENTS INCIDENTS FATALITIES INCIDENTS INCIDENTS FATALITIES Kenya Airways 10 1, 353 China Airlines 19 9 3 2 367 Avianca 16 LO 1, 043 0 0 Pakistan International 29 11 861 38 8 175 Malaysia Airlines 42 CN Air India* 485 2 241 Ethiopian Airlines 66 13 438 5 EgyptAir 18 7 10 2 33 Gulf Air 13 Garuda Indonesia 21 6 9 4 48 Saudi Arabian 10 467 17 Japan Airlines 423 0 SWISS* N 370 5 0 Vietnam Airlines 4 6 351 2 0 Korean Air CO 4 314 0 South African 2 313 2 0 TAM Xiamen Airlines 27 CN CN 83 6 2 165 Aeroflot* 81 15 137 97 Philippine Airlines 22 12 6 Thai Airways 6 3 232 2 Royal Air Maroc 22 13 221 13 0 SAS* 9 0 12 2 214 Air France N 34 3 149 Iberia 6 0 Aeromexico* 137 11 American* 25 US Airways / America West* 4 117 6 12 Alaska Airlines* 0 121 COPA 2 0 0 Turkish Airlines N 42 5 57 Alitalia 13 92 8 Delta / Northwest* N 80 5 10 United / Continental* 3 20 SriLankan Airlines / AirLanka 4 5 5 0 Singapore Airlines Condor 6 CN 49 U 0 TACA 15 15 5 5 LAN Airlines 27 0 EI Al 15 D Air New Zealand* 0 2 3 KLM* 2 Lufthansa* N All Nippon Airways

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