Assume a famous coffee shop chain sells about 8 million cups of coffee per day with a standard deviation of 300,000 cups per day. Assuming the number of cups of coffee that they sell per day follows a normal distribution, what is the 90th percentile of the number of cups of coffee that they sell in a given day? 8,000,702 8,252,486 8,384,465 8,697,904
Assume a famous coffee shop chain sells about 8 million cups of coffee per day with a standard deviation of 300,000 cups per day. Assuming the number of cups of coffee that they sell per day follows a normal distribution, what is the 90th percentile of the number of cups of coffee that they sell in a given day? 8,000,702 8,252,486 8,384,465 8,697,904
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![### Question on Normal Distribution
#### Problem Statement:
Assume a famous coffee shop chain sells about 8 million cups of coffee per day with a standard deviation of 300,000 cups per day. Assuming the number of cups of coffee that they sell per day follows a normal distribution, what is the 90th percentile of the number of cups of coffee that they sell in a given day?
#### Options:
1. **8,000,702**
2. **8,252,486**
3. **8,384,465**
4. **8,697,904**
### Explanation:
To find the 90th percentile of a normally distributed variable, we use the formula:
\[ X = \mu + Z \sigma \]
Where:
- \( \mu \) is the mean (8,000,000 cups),
- \( \sigma \) is the standard deviation (300,000 cups),
- \( Z \) is the standard score corresponding to the desired percentile (90th percentile).
In statistical tables or using statistical software, the Z-value for the 90th percentile is approximately 1.28.
Thus, the calculation would be:
\[ X = 8,000,000 + (1.28 \times 300,000) \]
\[ X = 8,000,000 + 384,000 \]
\[ X = 8,384,000 \]
So, the 90th percentile is approximately **8,384,000** cups. Therefore, the correct option is:
### Answer:
**8,384,465** (Note that this accounts for rounding differences and slight variations)
This concept can be applied to other scenarios in business, healthcare, and various fields where understanding the distribution of data is essential.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa7e444e2-a441-4a28-bca8-26e04764874a%2Fe68619f7-fce5-4534-b6d5-c29356ecbcde%2Fqfmfzc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Question on Normal Distribution
#### Problem Statement:
Assume a famous coffee shop chain sells about 8 million cups of coffee per day with a standard deviation of 300,000 cups per day. Assuming the number of cups of coffee that they sell per day follows a normal distribution, what is the 90th percentile of the number of cups of coffee that they sell in a given day?
#### Options:
1. **8,000,702**
2. **8,252,486**
3. **8,384,465**
4. **8,697,904**
### Explanation:
To find the 90th percentile of a normally distributed variable, we use the formula:
\[ X = \mu + Z \sigma \]
Where:
- \( \mu \) is the mean (8,000,000 cups),
- \( \sigma \) is the standard deviation (300,000 cups),
- \( Z \) is the standard score corresponding to the desired percentile (90th percentile).
In statistical tables or using statistical software, the Z-value for the 90th percentile is approximately 1.28.
Thus, the calculation would be:
\[ X = 8,000,000 + (1.28 \times 300,000) \]
\[ X = 8,000,000 + 384,000 \]
\[ X = 8,384,000 \]
So, the 90th percentile is approximately **8,384,000** cups. Therefore, the correct option is:
### Answer:
**8,384,465** (Note that this accounts for rounding differences and slight variations)
This concept can be applied to other scenarios in business, healthcare, and various fields where understanding the distribution of data is essential.
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 4 steps with 1 images

Recommended textbooks for you

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON

The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman

Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman