A dataset from 1987 contains information about credit card applications and approvals for 690 applicants. We are interested in looking at the amount of debt across industries, specifically between information technology, healthcare, real estate, and education. The following values are scaled down for ease of analysis. From the sample, 44 are in information technology with an average of $4.03 dollars in debt and a standard deviation of $3.88. 55 are in the healthcare industry with an average of $5.84 dollars in debt and a standard deviation of $6.58. 33 are in real estate with an average of $4.79 dollars in debt and a standard deviation of $5.43. 20 are in education with an average of $8.21 dollars in debt and a standard deviation of $6.25. Fill in the hypotheses below: Ho: Select an answer Ha: Select an answer

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A dataset from 1987 contains information about credit card applications and approvals for 690 applicants. We are interested in looking at the amount of debt across industries, specifically between information technology, healthcare, real estate, and education. The following values are scaled down for ease of analysis.

From the sample:
- 44 are in information technology with an average of $4.03 dollars in debt and a standard deviation of $3.88.
- 55 are in the healthcare industry with an average of $5.84 dollars in debt and a standard deviation of $6.58.
- 33 are in real estate with an average of $4.79 dollars in debt and a standard deviation of $5.43.
- 20 are in education with an average of $8.21 dollars in debt and a standard deviation of $6.25.

Fill in the hypotheses below:

\( H_0: \) [Select an answer]

\( H_a: \) [Select an answer]
Transcribed Image Text:A dataset from 1987 contains information about credit card applications and approvals for 690 applicants. We are interested in looking at the amount of debt across industries, specifically between information technology, healthcare, real estate, and education. The following values are scaled down for ease of analysis. From the sample: - 44 are in information technology with an average of $4.03 dollars in debt and a standard deviation of $3.88. - 55 are in the healthcare industry with an average of $5.84 dollars in debt and a standard deviation of $6.58. - 33 are in real estate with an average of $4.79 dollars in debt and a standard deviation of $5.43. - 20 are in education with an average of $8.21 dollars in debt and a standard deviation of $6.25. Fill in the hypotheses below: \( H_0: \) [Select an answer] \( H_a: \) [Select an answer]
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