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What do I put as the sample size  ,what do I put for the number in the sample with the result or finding in question and the confidence level

To solve the problem from the image you provided, here’s how you can break it down based on the given scenario:

### **Sample Size (n):**
- The **sample size** is the total number of observations collected. In this case, the retailer pulled **6,000 products** from their sample of third-party products. Therefore:
  - \( n = 6,000 \)

### **Number in the Sample with the Result or Finding in Question:**
- The **number in the sample with the result** is the count of returned products. According to the scenario, **901 of the products had been returned**. Therefore:
  - \( x = 901 \)

### **Confidence Level:**
- The **confidence level** specified in the problem is **95%**. This is a standard level of confidence in statistics and is given explicitly in the problem.

Now that you have the three essential inputs, you can calculate the confidence interval, perform the hypothesis test, and draw conclusions as required.

If you would like, I can assist you in calculating the confidence interval, the hypothesis test, and any other steps. Let me know!

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### Questions:
1. How do you calculate the confidence interval using the sample size and return count?
2. What is the formula for standard error, and how is it applied in this case?
3. How do you check whether the hypothesis test supports the CFO’s claim?
4. How is the context of the confidence interval connected to the return rate?
5. Why is a confidence level of 95% commonly used in statistics?

### Tip:
Always verify the conditions for the use of confidence intervals and hypothesis tests (e.g., sample size, random sampling, and assumptions about the population).

What do I put as the sample size, what do I put for the number in the sample with the result or finding in question and the confidence level?

Learn how to compute a 95% confidence interval and perform a hypothesis test for Amazon's third-party product return rates. This problem includes calculations for sample size (n = 6000), returned items (x = 901), and the 95% confidence level. Explore step-by-step solutions for undergraduate or AP Statistics students.

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