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Is the requirement of a normal distribution satisfied? OA. No, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line. OB. Yes, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. OC. No, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. OD. Yes, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line

Is the requirement of a normal distribution satisfied? OA. No, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line. OB. Yes, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. OC. No, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. OD. Yes, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line

MATLAB: An Introduction with Applications
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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**Sample Data Review: Airline Flight Arrival Delays** **Overview:** The task is to analyze sample data for the arrival delay times (in minutes) of airline flights. The goal is to determine whether these times originate from a normally distributed population that is approximately bell-shaped. **Instructions:** Click the icon to view the data set. **Question:** Is the requirement of a normal distribution satisfied? **Answer Choices:** - **A.** No, because the histogram of the data is not bell-shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line. - **B.** Yes, because the histogram of the data is bell-shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. - **C.** No, because the histogram of the data is bell-shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. - **D.** Yes, because the histogram of the data is not bell-shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line. **Visual Explanation:** The image portrays a question and multiple-choice answers focusing on the assessment of data normality. Since no graphs or diagrams are shown in the image, there are no visual elements to explain. **Next Steps:** Select the appropriate answer and proceed by clicking "Next".
Transcribed Image Text:**Sample Data Review: Airline Flight Arrival Delays** **Overview:** The task is to analyze sample data for the arrival delay times (in minutes) of airline flights. The goal is to determine whether these times originate from a normally distributed population that is approximately bell-shaped. **Instructions:** Click the icon to view the data set. **Question:** Is the requirement of a normal distribution satisfied? **Answer Choices:** - **A.** No, because the histogram of the data is not bell-shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line. - **B.** Yes, because the histogram of the data is bell-shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. - **C.** No, because the histogram of the data is bell-shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. - **D.** Yes, because the histogram of the data is not bell-shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line. **Visual Explanation:** The image portrays a question and multiple-choice answers focusing on the assessment of data normality. Since no graphs or diagrams are shown in the image, there are no visual elements to explain. **Next Steps:** Select the appropriate answer and proceed by clicking "Next".
**Arrival Delay Times (Minutes)** This dataset represents the arrival delay times, in minutes, of various flights. The data includes both positive and negative values, indicating whether the flights were delayed or early, respectively. | Delay Times (Minutes) | |------------------------| | 2, -33, 13, -7, -21 | | -20, -3, -26, 14, 35 | | -4, -32, 105, 5, -42 | | -26, -28, 20, -25, -39 | | -12, 10, -32, -43, -31 | | 15, 5, 14, -30, -34 | | 31, -5, -35, 33, -1 | | 40, 42, -33, -33, 109 | Each row consists of a series of arrival delay times, which are measured in minutes. Negative values represent early arrivals, while positive values indicate delays. This data can be useful for statistical analysis of flight punctuality and understanding patterns in airline performance.
Transcribed Image Text:**Arrival Delay Times (Minutes)** This dataset represents the arrival delay times, in minutes, of various flights. The data includes both positive and negative values, indicating whether the flights were delayed or early, respectively. | Delay Times (Minutes) | |------------------------| | 2, -33, 13, -7, -21 | | -20, -3, -26, 14, 35 | | -4, -32, 105, 5, -42 | | -26, -28, 20, -25, -39 | | -12, 10, -32, -43, -31 | | 15, 5, 14, -30, -34 | | 31, -5, -35, 33, -1 | | 40, 42, -33, -33, 109 | Each row consists of a series of arrival delay times, which are measured in minutes. Negative values represent early arrivals, while positive values indicate delays. This data can be useful for statistical analysis of flight punctuality and understanding patterns in airline performance.
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