Titanic Survival BUS352

T I TA N I C S U R V I VA L E X P L O R AT O R Y D ATA By: Braelyn Ayala Larry Musolino Grand Canyon University BUS-352

D E F I N E T H E P R O B L E M • What sort of people were more likely to survive using passenger data? Three questions will be answered in addition: - Is gender an influential factor in terms of the survival rate? Or do females have a higher chance of survival than males? - Is Age an influential factor in terms of the survival rate? Or can it be said that a young person (20-30 years) has a higher chance of survival? - Is social-economic status an influential factor in terms of the survival rate? Or can it be said that an upper-class person has a higher chance of survival?

O R G A N I Z E A N D V I S U A L I Z E • Is gender an influential factor in terms of the survival rate? Or do females have a higher chance of survival than males? Count of Survived Column Labels Row Labels 0 1 Grand Total female 44 134 178 male 253 69 322 Grand Total 297 203 500 female male 0 50 100 150 200 250 300 0 1 Pivot Table Male/Female Survival Total

O R G A N I Z E A N D V I S U A L I Z E • Is Age an influential factor in terms of the survival rate? Or can it be said that a young person (20-30 yrs) has a higher chance of survival? Pivot Table Age Survival Total Count of Survived Column Labels Row Labels 0 1 Grand Total 0-9 3.00% 5.40% 8.40% 10-19 8.60% 5.00% 13.60% 20-29 21.00% 10.20% 31.20% 30-39 12.00% 10.20% 22.20% 40-49 8.20% 5.60% 13.80% 50-59 3.60% 3.00% 6.60% 60-69 2.20% 1.00% 3.20% 70-80 0.80% 0.20% 1.00% Grand Total 59.40% 40.60% 100.00% 0-9 10-19 20-29 30-39 40-49 50-59 60-69 70-80 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 0 1

A N A LY S I S : D E S C R I P T I V E S T A T I S T I C O F F A R E • Descriptive Statistics: Check the ticket prices in 1912. Fare Mean 34.4918498 Standard Error 2.21692453 8 Median 15.95 Mode 13 Standard Deviation 49.5719396 8 Sample Variance 2457.37720 4 Kurtosis 23.5185671 1 Skewness 4.03678713 2 Range 508.3167 Minimum 4.0125 Maximum 512.3292 Sum 17245.9249 Count 500 Confidence Level(95.0%) 4.35565679 7 Mean fare price : $34 out of 500 variables Kurtosis : 23.5 Therefore, there is a low amount of outliers

A N A LY S I S Gender - Out of a randomized 500 dataset, 134 females survived, and 69 males survived. Therefore, 66% of survivors were female, and 34% of survivors were male. Age - The data ranges from 0-80 by tens. Since ages 20- 39 had the highest survival rates of 10.2%, middle-aged adults have the highest survival rate. Descriptive statics shows the average age of survivors were 29 with a standard deviation of 14.7%. Age Mean 29.976 Standard Error 0.658088907 Median 29 Mode 30 Standard Deviation 14.71531532 Sample Variance 216.540505 Kurtosis 0.118590067 Skewness 0.398089372 Range 79 Minimum 1 Maximum 80 Sum 14988 Count 500 Confidence Level(95.0%) 1.292966618

C O N C L U S I O N ( R E S E A R C H E D FA C T S ) Gender “In the end, 70% of the women and children were saved compared with only 20% of the men,” (Elinder & Erixson, 2012) - Our data shows 66% of all women surviving and 34% of men which is roughly similar to the research. This can be due to the expectation of men "expected to help people in emergencies, whereas women are, to a higher degree, expected to engage in care over the long term,” (Elinder & Erixson, 2012) . Age “The average age of the males was 30.6 while the average age of the females was 28.7,” (Zanchi & Egan, 2020). - Our data lists the average survival age (male and female) to be 29. Since this is between the researched age, our data sample is sufficient. - “For men, the younger you were, the more likely you were to have survived the tragedy. For women, the older you were, the more likely you were to have survived,” (Zanchi & Egan, 2020).

C O N C L U S I O N ( C O N T I N U E D ) Economic Status “First- and second-class cabins were primarily separated by purely social barriers whereas physical gates separated the third-class quarters from other areas of the ship,” (Levinson, 2012, 151) - Our data shows that first class was more likely to survive. This shows our data is sufficient in comparison to research. Since third-class quarters were separated by gates, it was harder to escape the ship. Overall Overall, the sample size of 500 was sufficient in analyzing the survivors of the titanic. It was determined that females aged around 29 and a part of the first economic class were the most likely to survive. Therefore, gender, age, and economic status all played roles in the survival rate of the Titanic disaster.