during the year. A rảndom sample of 10 cardholders over age 50 4x 18 Records of a credit card company show that 30% of its cardholders over age 50 dispute one or more charges on their statements during the year. A ràndom sample of 10 cardholders over age 2 is selected. Assuming the records are correct, find the probability that: a. Exactly 3 of these cardholders over age 50 will dispute a charge during the coming year, 10/3- b. Fewer than 3 of these cardholders over age 50 will dispute a charge during the coming year, Fees c. At least 7 of these cardholders over age 50 will dispute a charge during the coming year.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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**Educational Resource: Probabilities in Credit Card Dispute Scenarios**

**Scenario Description:**
Records from a credit card company demonstrate that 30% of cardholders over the age of 50 dispute one or more charges annually. Given this data, a random sample of 10 cardholders over 50 is taken. The following probabilities are to be determined:

**Task: Probabilities to be Calculated**

a. **Probability of Exactly 3 Cardholders Disputing a Charge:**
   Calculate the probability that exactly 3 out of the sampled 10 cardholders will dispute a charge within the year.

b. **Probability of Fewer Than 3 Cardholders Disputing a Charge:**
   Determine the probability that fewer than 3 cardholders will dispute a charge within the year.

c. **Probability of At Least 7 Cardholders Disputing a Charge:**
   Find the probability that at least 7 cardholders will dispute a charge within the year.

d. **Analysis of Results:**
   If the sampling outcome shows that at least 7 cardholders dispute a charge, infer the conclusion based on the assumption that the sampling was random and unbiased. Provide an explanation for this conclusion.

**Instruction:**

The scenarios above involve calculating probabilities in a binomial distribution setting, where:
- The probability of success (a cardholder disputing a charge) is 0.30.
- The number of trials is 10 (the size of the sample).

**Graph/Diagram Explanation:**
No specific graph or diagram is included. However, if demonstrating this with a chart, a binomial probability distribution graph can be used, highlighting the probabilities at x = 3, x < 3, and x ≥ 7, as applicable in scenarios a, b, and c.

**Notes:**
The handwritten "X" marks in the document may indicate answers or steps already addressed, while the concluding notes suggest considering the randomness and unbiased nature of the sampling process in drawing an inference for part d.
Transcribed Image Text:**Educational Resource: Probabilities in Credit Card Dispute Scenarios** **Scenario Description:** Records from a credit card company demonstrate that 30% of cardholders over the age of 50 dispute one or more charges annually. Given this data, a random sample of 10 cardholders over 50 is taken. The following probabilities are to be determined: **Task: Probabilities to be Calculated** a. **Probability of Exactly 3 Cardholders Disputing a Charge:** Calculate the probability that exactly 3 out of the sampled 10 cardholders will dispute a charge within the year. b. **Probability of Fewer Than 3 Cardholders Disputing a Charge:** Determine the probability that fewer than 3 cardholders will dispute a charge within the year. c. **Probability of At Least 7 Cardholders Disputing a Charge:** Find the probability that at least 7 cardholders will dispute a charge within the year. d. **Analysis of Results:** If the sampling outcome shows that at least 7 cardholders dispute a charge, infer the conclusion based on the assumption that the sampling was random and unbiased. Provide an explanation for this conclusion. **Instruction:** The scenarios above involve calculating probabilities in a binomial distribution setting, where: - The probability of success (a cardholder disputing a charge) is 0.30. - The number of trials is 10 (the size of the sample). **Graph/Diagram Explanation:** No specific graph or diagram is included. However, if demonstrating this with a chart, a binomial probability distribution graph can be used, highlighting the probabilities at x = 3, x < 3, and x ≥ 7, as applicable in scenarios a, b, and c. **Notes:** The handwritten "X" marks in the document may indicate answers or steps already addressed, while the concluding notes suggest considering the randomness and unbiased nature of the sampling process in drawing an inference for part d.
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