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State: How does gender and class affect the rate of survival?

Plan: Conditionally compare survival statistics based on total people in each class and gender.

Conclusion: Having a higher class ticket increased the chances of survival as well as being a woman.

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Pt 2: Gender
State: Does gender have an association upon one's survival rate?

Plan: Convert data witin each gender amongst their individual classes, as well as in total, in order to create a conditional distribution, due to the fact that population amongst each gender varys in total. Then create a bar graph that includes gender survival rate within each class and among the entire population, in order to properly identify a possible trend.

Conclude: Based on our results, being a woman drastically improved a passengers chance of survival. based on the data, among every ticket class and the overall population, our data shows that a woman's chance of survival aboard the Titanic, was more than double that of her male counterparts.

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Pt 1: Ticket Class
State: Does one's ticket clss have an association with their survival rate on the Titanic?

Plan: First convert data into precentage of survival amongst each ticket class, in order to creat a conditoinal distribution. Then display data by using a bar graph, due to varying total of passengers amongst each class.
Conclude: Based on our results, being a first class passenger more than doubled your probability of survival, when compared to 3rd class passengers. based on the data, there appears to be a relationship between ticket class and survival rate.

# data[].attributes.headline
Joel Mason Srishti (Pt 2: Gender and Ticket Class Survival Rates)

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Joel Mason Srishti (Pt 2: Gender and Ticket Class Survival Rates)

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State: How does gender and ticket class change the chance of survival?

Plan: Convert counts into percentages by dividing variables by total number of variables in each class. Then compare percentages. Do a conditional distribution to determine the relationship between gender, class of travel, and survival rate. Display the data using a segmented bar graph in percent because the count totals are different.

Do: (see image for data)

Conclusion: The data suggests that there is an association between gender and survival rate. Across all data points, females had a higher percent of the population survive compared to males. The survival rate of Females decreased based on ticket class. The percent of male population that survived was significantly lower than females.

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Lexi, Jack, Simeon, Rish (continued - part 3 sorry)

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Lexi, Jack, Simeon, Rish (continued - part 3 sorry)

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Do:
Conclude: For females the trend of higher class causing higher survival rate remained the same. But for males the trend stopped, as the males in 3rd class had a greater rate of survival than the males in 2nd class according to the data.

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Lexi, Jack, Simeon, Rish (continued- part 2)

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Lexi, Jack, Simeon, Rish (continued- part 2)

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Conclude: Based on our data, we can conclude that if you had a better ticket class then you tended to have a higher rate of survival.
Also based on our data, we can conclude that females on average had a better chance of survival than males.
2. State: Does gender affect the relationship between ticket class and survival rate?
Plan: We can do a conditional distribution between males in each ticket class and survival rate, and then do the same thing for females.

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1. State: Does ticket class or gender affect survival rate?
Plan: We are going to do a conditional distribution for gender and survival rate. Then we are going to do another conditional distribution for ticket class and survival rate.
We will compare % ,because there are not equal groups of males and females, and there are not equal groups of passengers in each class.
Do:

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Joel Mason Srishti (Pt. 1: Ticket class and Gender Survival Rate)

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Joel Mason Srishti (Pt. 1: Ticket class and Gender Survival Rate)

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State: Does ticket class of passenger increase or decrease chance of survival?

Plan: Calculate the percent that survived and percent that died based on class of passenger. Compare using percentages because the count totals are different. Also create a graph to display data

Do:
Class:      Survival %        Died %
1st            61.8                 38.2
2nd           36.0                 64.0
3rd            24.1                 75.9
(See image for Graph)

Conclusion: There may be an association between ticket class and survival rate. Based on the data, First class passengers had a higher survival rate compared to second and third class passengers. Also, the percentage of first class passengers that died in first class was much lower than second and third class passengers.

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There are 1209 total passengers, 404 ladies which was 33.4% of the total. There are 805 guy which 66.6% of total. There were 445 survivors which was 36.8% of total. There were 296 surviving ladies, which is 73.3% of total ladies and 66.5% of total survivors. There were 149 surviving men which was 18.5% of total men and 33.5% of total survivors.
There is a definite associating between gender and survival. 33.4% of the titanic passengers were ladies but they made up 66.5% of total survivors. By contrast men took up 66% of passengers, but were only 33% of survivors, and why 36.8% of passengers, nearly 3/4 of all ladies survived were of less then 1/5 of all men that survived

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Conclusion: Based on the data, class mattered on survival rate. The majority of 1st class survived and majority of 2nd and 3rd died. Gender mattered on survival rate between classes. Majority of men died in all 3 classes. In 1st class and 2nd class the majority of women survived.