Question

In: Statistics and Probability

Suppose a luxury ship colluded and sank. The ship had 2224 passengers and crew and 1502...

  1. Suppose a luxury ship colluded and sank. The ship had 2224 passengers and crew and 1502 people died. The ship had three classes of passengers, 323 passengers in the first class, 277 in the second class, and 709 in the third class. The number of passengers survived were 200 in the first class, 119 in the second, and 181 in the third, respectively.

    a. Find the chi-square statistic and the p-value.
    b. What are the hypotheses?
    c. Construct the table for expected frequency and explain it. d. What is the conclusion of this test?

Solutions

Expert Solution

Solution:

Here, we have to use chi square test for independence of two categorical variables.

b. What are the hypotheses?

Null hypothesis: H0: Two variables class of passenger and whether he/she survives are independent.

Alternative hypothesis: Ha: Two variables class of passenger and whether he/she survives are dependent.

We assume/given level of significance = α = 0.05

a. Find the chi-square statistic and the p-value.

Test statistic formula is given as below:

Chi square = ∑[(O – E)^2/E]

Where, O is observed frequencies and E is expected frequencies.

E = row total * column total / Grand total

We are given

Number of rows = r = 2

Number of columns = c = 3

Degrees of freedom = df = (r – 1)*(c – 1) = 1*2 = 2

α = 0.05

Critical value = 5.991465

(by using Chi square table or excel)

c. Construct the table for expected frequency and explain it.

Calculation tables for test statistic are given as below:

Observed Frequencies

Class of Passenger

Survive or died?

First

Second

Third

Total

Survive

200

119

181

500

Died

123

158

528

809

Total

323

277

709

1309

Expected Frequencies

Class of Passenger

Survive or died?

First

Second

Third

Total

Survive

123.3766

105.806

270.8174

500

Died

199.6234

171.194

438.1826

809

Total

323

277

709

1309

(O - E)^2/E

First

Second

Third

Survive

47.58715

1.645302

29.78822

Died

29.41109

1.016874

18.41052

Test Statistic = Chi square = ∑[(O – E)^2/E] = 127.8592

χ2 test statistic = 127.8592

P-value = 0.0000

(By using Chi square table or excel)

d. What is the conclusion of this test?

P-value < α = 0.05

So, we reject the null hypothesis

There is sufficient evidence to conclude that two variables class of passenger and whether he/she survives are dependent.


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