A large national bank determines if each of its branches is profitable or not profitable. Additionally, the location of each branch is classified as urban, suburban, or rural. A summary of the profitability and location type of a random sample of 175 of the bank’s branches is shown in the table. Profitable Not Profitable Urban 64 17 Suburban 39 22 Rural 18 15 (a) From the sample of 175 branches summarized above: (i) What proportion of branches are profitable? (ii) What proportion of branches from an urban location are profitable? (iii) What proportion of branches from a rural location are profitable?
A large national bank determines if each of its branches is profitable or not profitable. Additionally, the location of each branch is classified as urban, suburban, or rural. A summary of the profitability and location type of a random sample of 175 of the bank’s branches is shown in the table.
Profitable | Not Profitable | |
Urban | 64 | 17 |
Suburban | 39 | 22 |
Rural | 18 | 15 |
(a) From the sample of 175 branches summarized above:
- (i) What proportion of branches are profitable?
- (ii) What proportion of branches from an urban location are profitable?
- (iii) What proportion of branches from a rural location are profitable?
Question 2
(b) Assuming the conditions for inference are met, does the data provide convincing statistical evidence that profitability and location type are independent for the bank at a 5 percent level of significance? Complete the appropriate inference procedure to support your answer.
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which one of the values contributes most to the chi square score?
Is there any way I could see an explanation for question 2?