Amazon.com is testing the use of drones to deliver packages for same-day delivery. In order to quote narrow time windows, the variability in delivery times must be sufficiently small. Consider a sample of 25 drone deliveries with sample variance of s² = 0.77. a. Construct a 90% confidence interval estimate of the population variance for the drone delivery time (to 2 decimals). Use Table 11.1. b. Construct a 90% confidence interval estimate of the population standard deviation (to 2 decimals). Use Table 11.1. sos
Amazon.com is testing the use of drones to deliver packages for same-day delivery. In order to quote narrow time windows, the variability in delivery times must be sufficiently small. Consider a sample of 25 drone deliveries with sample variance of s² = 0.77. a. Construct a 90% confidence interval estimate of the population variance for the drone delivery time (to 2 decimals). Use Table 11.1. b. Construct a 90% confidence interval estimate of the population standard deviation (to 2 decimals). Use Table 11.1. sos
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Amazon.com is testing the use of drones to deliver packages for same-day delivery. In order to quote narrow time windows, the variability in delivery times must be sufficiently small. Consider a sample of 25 drone deliveries with sample variance of s^2=0.77.
![Amazon.com is testing the use of drones to deliver packages for same-day delivery. In order to quote narrow time windows, the variability in delivery times must be sufficiently small. Consider a sample of 25 drone deliveries with a sample variance of \( s^2 = 0.77 \).
a. Construct a 90% confidence interval estimate of the population variance for the drone delivery time (to 2 decimals). Use Table 11.1.
\[ \boxed{\ \ \ \ \ } \leq \sigma^2 \leq \boxed{\ \ \ \ \ } \]
b. Construct a 90% confidence interval estimate of the population standard deviation (to 2 decimals). Use Table 11.1.
\[ \boxed{\ \ \ \ \ } \leq \sigma \leq \boxed{\ \ \ \ \ } \]
(Note: Instructions reference Table 11.1, which is presumably a chi-square distribution table necessary for constructing the confidence intervals.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6b64a519-1474-49ec-8afb-98e9a37e1aea%2F24fb89a5-6381-47b5-bd6c-7d6494a6e2c8%2Fq4w9m8v_processed.png&w=3840&q=75)
Transcribed Image Text:Amazon.com is testing the use of drones to deliver packages for same-day delivery. In order to quote narrow time windows, the variability in delivery times must be sufficiently small. Consider a sample of 25 drone deliveries with a sample variance of \( s^2 = 0.77 \).
a. Construct a 90% confidence interval estimate of the population variance for the drone delivery time (to 2 decimals). Use Table 11.1.
\[ \boxed{\ \ \ \ \ } \leq \sigma^2 \leq \boxed{\ \ \ \ \ } \]
b. Construct a 90% confidence interval estimate of the population standard deviation (to 2 decimals). Use Table 11.1.
\[ \boxed{\ \ \ \ \ } \leq \sigma \leq \boxed{\ \ \ \ \ } \]
(Note: Instructions reference Table 11.1, which is presumably a chi-square distribution table necessary for constructing the confidence intervals.)

Transcribed Image Text:**Table 11.1: Selected Values from the Chi-Square Distribution Table**
The table provides critical values of the Chi-Square distribution for different degrees of freedom and areas in the upper tail. The Chi-Square distribution is a probability distribution often used in hypothesis testing and data analysis, such as the chi-square test for independence.
**Graph Explanation:**
- The graph at the top displays a chi-square distribution curve.
- The horizontal axis represents the values of \( x^2 \).
- The shaded area under the curve, to the right of \( x^2 \), indicates the "Area or probability" in the upper tail.
**Table Data:**
- **Columns:**
- The first column lists the "Degrees of Freedom," ranging from 1 to 100.
- The subsequent columns show critical values corresponding to different areas in the upper tail (\(.99\), \(.975\), \(.95\), \(.90\), \(.10\), \(.05\), \(.025\), \(.01\)).
- **Rows:**
- Each row corresponds to a specific degree of freedom.
- The values represent the critical chi-square values for the specified areas in the upper tail.
**Example from the Table:**
For 5 degrees of freedom:
- The chi-square value for an area of \(0.05\) in the upper tail is \(11.070\).
- For an area of \(0.01\), the value is \(15.086\).
**Note:**
- A more extensive table is available online, as mentioned in Table 3 of Appendix B.
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