Explanation There is strong evidence for the existence of an association between the survival rate and gender on the titanic. Given info: The data represents the survival and mortality rate for male and female which are provided in the 2 × 2 contingency table. Calculation: The test hypotheses are given below: Null hypothesis: H 0 : There is no association between the survival rate and gender on the titanic. Alternative hypothesis : H A : There is an association between the survival rate and gender on the titanic. The requirements that must be satisfied to perform a chi-square test are, Counted data condition: The data set are countable in nature. Here, the data’s are countable. Expected cell frequency condition: All the expected frequencies must be 5 or greater than 5 Here, all expected frequencies are larger than 5. Randomization condition: The counts in the cells are independent to each other, and the individual who are counted and their counts for the analysis will be the random sample from some population. By the assumption, the distribution of the above sample of death and survival rate is the representatives of entire population in the titanic and which is random in nature. Here the test is valid, since all the three conditions are satisfied for the data. Degrees of freedom: The degrees of freedom for the test statistic is, d f = r − 1 c − 1 = 2 − 1 2 − 1 = 1 Thus, the degree of freedom is 1

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ISBN: 9780137643127

Author: DeVeaux

Publisher: PEARSON

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

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Chapter 22, Problem 48E

To determine

Check whether the survival rate was independent of the gender or not.

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Chapter 22, Problem 47E

Chapter 22, Problem 49E

Chapter 22 Solutions

STATS:DATA+MODELS-MY LAB ACC >CUSTOM<

Ch. 22.3 - 1. Why do we need the control group? Ch. 22.3 - Prob. 2JC Ch. 22.3 - Prob. 3JC Ch. 22.3 - Prob. 4JC Ch. 22.3 - Prob. 5JC Ch. 22.3 - Prob. 6JC Ch. 22.4 - Prob. 7JC Ch. 22.4 - Prob. 8JC Ch. 22.4 - Prob. 9JC Ch. 22 - Prob. 1E

Ch. 22 - 2. Bank cards At a major credit card bank, the...Ch. 22 - 3. Human births, again For the births in Exercise...Ch. 22 - 4. Bank cards, again For the customers in Exercise...Ch. 22 - 5. Customer ages An analyst at a local bank...Ch. 22 - 6. Bank cards, once more A market researcher...Ch. 22 - Prob. 7E Ch. 22 - Prob. 8E Ch. 22 - Prob. 9E Ch. 22 - 10. Iliad weapons The Iliad also reports the cause...Ch. 22 - Prob. 11E Ch. 22 - 12. Which test, again? For each of the following...Ch. 22 - 13. Dice After getting trounced by your little...Ch. 22 - 14. M&M’s As noted in an earlier chapter, Mars...Ch. 22 - Prob. 15E Ch. 22 - 16. Mileage A salesman who is on the road visiting...Ch. 22 - 17. NYPD and race Census data for New York City...Ch. 22 - Prob. 18E Ch. 22 - 19. Fruit flies Offspring of certain fruit flies...Ch. 22 - 20. Pi Many people know the mathematical constant...Ch. 22 - Prob. 21E Ch. 22 - 22. Lottery numbers The fairness of the South...Ch. 22 - Prob. 23E Ch. 22 - Prob. 24E Ch. 22 - Prob. 25E Ch. 22 - Prob. 26E Ch. 22 - 27. Childbirth, part 3 In Exercises 23 and 25,...Ch. 22 - 28. Does your doctor know? (part 3) In Exercises...Ch. 22 - Prob. 29E Ch. 22 - Prob. 30E Ch. 22 - Prob. 31E Ch. 22 - Prob. 32E Ch. 22 - Prob. 33E Ch. 22 - Prob. 34E Ch. 22 - Prob. 35E Ch. 22 - 36. NYPD again Examine and comment on this table...Ch. 22 - Prob. 37E Ch. 22 - 38. Car origins A random survey of autos parked in...Ch. 22 - 39. Montana A poll conducted by the University of...Ch. 22 - 40. Fish diet Medical researchers followed 6272...Ch. 22 - Prob. 41E Ch. 22 - 42. Working parents In April 2009, Gallup...Ch. 22 - Prob. 43E Ch. 22 - Prob. 44E Ch. 22 - Prob. 45E Ch. 22 - 46. Full moon, next phase In Exercise 44, you...Ch. 22 - Prob. 47E Ch. 22 - Prob. 48E Ch. 22 - Prob. 49E Ch. 22 - Prob. 50E

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