When the Titanic sank, passenger survival rates were recorded along with additional information like their name, what class ticket they had, their age, and whether or not they had children. Some of these factors may predict whether or not a passenger was likely to survive the accident. The data set "Titanic survival.jasp" contains actual recorded data from the event. Using the variables "Class" and "Survived", conduct a Chi-Square Test for Independence, at alpha = 0.05, to see if a passengers ticket class (first, second, or third class) is significantly associated with their survival rates.Identify the correct interpretation A.The actual probability (p) of obtaining another sample of passengers from an ocean liner catastrophe from the early 1900's with a distribution of survival and death rates across the three classes of tickets purchased (first, second, and third class) that looks like our sample is (p < 0.001), which is less than 1%, meaning this result is highly un-likely to occur if the null hypothesis is true. B.The test results indicate that there is no relationship between passenger class and survival rates on the Titanic. C.The actual probability (p) of obtaining another sample of passengers from an ocean liner catastrophe from the early 1900's with a distribution of survival and death rates across the three classes of tickets purchased (first, second, and third class) that looks like our sample is (p < 0.001), which is less than 1%, meaning this result is highly likely to occur if the null hypothesis is true. D.The test results indicate that there is a significant relationship between passenger class and survival rates on the Titanic

Answered: When the Titanic sank, passenger…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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When the Titanic sank, passenger survival rates were recorded along with additional information like their name, what class ticket they had, their age, and whether or not they had children. Some of these factors may predict whether or not a passenger was likely to survive the accident. The data set "Titanic survival.jasp" contains actual recorded data from the event. Using the variables "Class" and "Survived", conduct a Chi-Square Test for Independence, at alpha = 0.05, to see if a passengers ticket class (first, second, or third class) is significantly associated with their survival rates.

Identify the correct interpretation

A. The actual probability (p) of obtaining another sample of passengers from an ocean liner catastrophe from the early 1900's with a distribution of survival and death rates across the three classes of tickets purchased (first, second, and third class) that looks like our sample is (p < 0.001), which is less than 1%, meaning this result is highly un-likely to occur if the null hypothesis is true.
B. The test results indicate that there is no relationship between passenger class and survival rates on the Titanic.
C. The actual probability (p) of obtaining another sample of passengers from an ocean liner catastrophe from the early 1900's with a distribution of survival and death rates across the three classes of tickets purchased (first, second, and third class) that looks like our sample is (p < 0.001), which is less than 1%, meaning this result is highly likely to occur if the null hypothesis is true.
D. The test results indicate that there is a significant relationship between passenger class and survival rates on the Titanic