The following data represent glucose blood levels (mg/100 ml) after a 12-hour fast for a random sample of women 35 30 25 20 15 10 5 0 6 glucose blood levels (mg/100 ml) 18 29 [45,55] (55, 65) (65,75] (75, 85] (85, 95] (95, 105] (105, 115] a. What is the shape of this distribution? Bimodal Select an answer Mound Shaped and Symmetric Skewed Left c. Which bar would contain the median? Skewed Right O Bimodal Uniform b. How many women were used in this sa d. What is the relative frequency for the 041 X wo decimal places.
The following data represent glucose blood levels (mg/100 ml) after a 12-hour fast for a random sample of women 35 30 25 20 15 10 5 0 6 glucose blood levels (mg/100 ml) 18 29 [45,55] (55, 65) (65,75] (75, 85] (85, 95] (95, 105] (105, 115] a. What is the shape of this distribution? Bimodal Select an answer Mound Shaped and Symmetric Skewed Left c. Which bar would contain the median? Skewed Right O Bimodal Uniform b. How many women were used in this sa d. What is the relative frequency for the 041 X wo decimal places.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
What is the shape of the distribution
#### Description of the Graph:
The horizontal axis shows the glucose blood levels, categorized into intervals:
- \[45, 55\]
- \[55, 65\]
- \[65, 75\]
- \[75, 85\]
- \[85, 95\]
- \[95, 105\]
- \[105, 115\]
The vertical axis represents the number of women within each interval. The frequency of women for each glucose level range is as follows:
- 3 women in the \[45, 55\] range
- 6 women in the \[55, 65\] range
- 18 women in the \[65, 75\] range
- 29 women in the \[75, 85\] range
- 9 women in the \[85, 95\] range
- 4 women in the \[95, 105\] range
- 1 woman in the \[105, 115\] range
#### Questions:
**a. What is the shape of this distribution?**
- The options provided for the answer include:
- Mound Shaped and Symmetric
- Skewed Left
- Skewed Right
- Bimodal
- Uniform
**b. How many women were used in this sample?**
- To determine this, sum the frequencies from each interval:
\(3 + 6 + 18 + 29 + 9 + 4 + 1\)
**c. Which bar would contain the median?**
- Identify the bar from the histogram that contains the median glucose level.
**d. What is the relative frequency for the given interval?**
- An example calculation given is \( \text{relative frequency} = 0.41 \)
Please use the information and histogram data to answer the above questions accurately.
---
This exercise helps to interpret and analyze data related to health and medical statistics effectively.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F82a8ebfc-76c9-419b-9ea9-29a90be836d5%2Faec10e6b-526b-4731-9857-302ba9f9bb14%2F2irwgvp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Understanding Glucose Blood Levels Post Fasting
---
The following data represent glucose blood levels (mg/100 ml) after a 12-hour fast for a random sample of women.
#### Description of the Graph:
The horizontal axis shows the glucose blood levels, categorized into intervals:
- \[45, 55\]
- \[55, 65\]
- \[65, 75\]
- \[75, 85\]
- \[85, 95\]
- \[95, 105\]
- \[105, 115\]
The vertical axis represents the number of women within each interval. The frequency of women for each glucose level range is as follows:
- 3 women in the \[45, 55\] range
- 6 women in the \[55, 65\] range
- 18 women in the \[65, 75\] range
- 29 women in the \[75, 85\] range
- 9 women in the \[85, 95\] range
- 4 women in the \[95, 105\] range
- 1 woman in the \[105, 115\] range
#### Questions:
**a. What is the shape of this distribution?**
- The options provided for the answer include:
- Mound Shaped and Symmetric
- Skewed Left
- Skewed Right
- Bimodal
- Uniform
**b. How many women were used in this sample?**
- To determine this, sum the frequencies from each interval:
\(3 + 6 + 18 + 29 + 9 + 4 + 1\)
**c. Which bar would contain the median?**
- Identify the bar from the histogram that contains the median glucose level.
**d. What is the relative frequency for the given interval?**
- An example calculation given is \( \text{relative frequency} = 0.41 \)
Please use the information and histogram data to answer the above questions accurately.
---
This exercise helps to interpret and analyze data related to health and medical statistics effectively.
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