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PEER REPLY 1: Read a classmate's Main Post. Consider further analysis of the data assuming that the data was normally distributed. 1. Describe a situation in which you are analyzing the percentage chance of being less than, greater than, or between two values that could be obtained. 2. Explain what it would mean to have a high percentage for that situation. Megan Mcclurg posted Apr 13, 2025 10:19 PM Subscribe I selected H&M and decided to analyze the 2024 net sales data for each region to assess its potential as an investment opportunity. Before delving into the data analysis, we must gather the sales data from each store within the region. Subsequently, we can organize the data into categories such as sales by region, product line, and time period. Based on the data I've compiled, I've created a frequency table to visualize the distribution of the data. However, without the accompanying graph, it's evident that the data is left-skewed due to the presence of an outlier. The frequency table reveals that the data can also exhibit a normal skewed distribution, with the western Europe region being the outlier that significantly exceeds all other regions in terms of net sales. Even with this outlier, the graph remains left-skewed, with the majority of the data points clustered on the right side and the relatively low net sales on the left side. Given the presence of the outlier, the graph continues to exhibit a left-skewed pattern. When dealing with a left-skewed graph, it's important to note that the range from the first quartile (Q1) and the median is smaller compared to the range from the third quartile (Q3) and the median.

PEER REPLY 1: Read a classmate's Main Post. Consider further analysis of the data assuming that the data was normally distributed. 1. Describe a situation in which you are analyzing the percentage chance of being less than, greater than, or between two values that could be obtained. 2. Explain what it would mean to have a high percentage for that situation. Megan Mcclurg posted Apr 13, 2025 10:19 PM Subscribe I selected H&M and decided to analyze the 2024 net sales data for each region to assess its potential as an investment opportunity. Before delving into the data analysis, we must gather the sales data from each store within the region. Subsequently, we can organize the data into categories such as sales by region, product line, and time period. Based on the data I've compiled, I've created a frequency table to visualize the distribution of the data. However, without the accompanying graph, it's evident that the data is left-skewed due to the presence of an outlier. The frequency table reveals that the data can also exhibit a normal skewed distribution, with the western Europe region being the outlier that significantly exceeds all other regions in terms of net sales. Even with this outlier, the graph remains left-skewed, with the majority of the data points clustered on the right side and the relatively low net sales on the left side. Given the presence of the outlier, the graph continues to exhibit a left-skewed pattern. When dealing with a left-skewed graph, it's important to note that the range from the first quartile (Q1) and the median is smaller compared to the range from the third quartile (Q3) and the median.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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PEER REPLY 1: Read a classmate's Main Post. Consider further analysis of the data assuming that the data was normally distributed. 1. Describe a situation in which you are analyzing the percentage chance of being less than, greater than, or between two values that could be obtained. 2. Explain what it would mean to have a high percentage for that situation.
Transcribed Image Text:PEER REPLY 1: Read a classmate's Main Post. Consider further analysis of the data assuming that the data was normally distributed. 1. Describe a situation in which you are analyzing the percentage chance of being less than, greater than, or between two values that could be obtained. 2. Explain what it would mean to have a high percentage for that situation.
Megan Mcclurg posted Apr 13, 2025 10:19 PM Subscribe I selected H&M and decided to analyze the 2024 net sales data for each region to assess its potential as an investment opportunity. Before delving into the data analysis, we must gather the sales data from each store within the region. Subsequently, we can organize the data into categories such as sales by region, product line, and time period. Based on the data I've compiled, I've created a frequency table to visualize the distribution of the data. However, without the accompanying graph, it's evident that the data is left-skewed due to the presence of an outlier. The frequency table reveals that the data can also exhibit a normal skewed distribution, with the western Europe region being the outlier that significantly exceeds all other regions in terms of net sales. Even with this outlier, the graph remains left-skewed, with the majority of the data points clustered on the right side and the relatively low net sales on the left side. Given the presence of the outlier, the graph continues to exhibit a left-skewed pattern. When dealing with a left-skewed graph, it's important to note that the range from the first quartile (Q1) and the median is smaller compared to the range from the third quartile (Q3) and the median.
Transcribed Image Text:Megan Mcclurg posted Apr 13, 2025 10:19 PM Subscribe I selected H&M and decided to analyze the 2024 net sales data for each region to assess its potential as an investment opportunity. Before delving into the data analysis, we must gather the sales data from each store within the region. Subsequently, we can organize the data into categories such as sales by region, product line, and time period. Based on the data I've compiled, I've created a frequency table to visualize the distribution of the data. However, without the accompanying graph, it's evident that the data is left-skewed due to the presence of an outlier. The frequency table reveals that the data can also exhibit a normal skewed distribution, with the western Europe region being the outlier that significantly exceeds all other regions in terms of net sales. Even with this outlier, the graph remains left-skewed, with the majority of the data points clustered on the right side and the relatively low net sales on the left side. Given the presence of the outlier, the graph continues to exhibit a left-skewed pattern. When dealing with a left-skewed graph, it's important to note that the range from the first quartile (Q1) and the median is smaller compared to the range from the third quartile (Q3) and the median.
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