All of these methods can be used for further analysis, because the data is quantitative. For mean you can calculate delivery time, number of pizzas, and distance. Median you can find the average value of delivery times. For mode you can find the most common number of pizzas purchased. Range, you can calculate the difference between the highest and lowest delivery times. Variance you can measure how much the delivery times vary from the mean time. Standard deviation, it tells you how different each delivery times are compared to the mean. Box plot, you can visually display the delivery times. As for variance, it tells us how much the delivery times differ from the mean delivery time mean. It measures the "spread" of the data (Hayes, 2024). A higher variance means that the delivery times are more inconsistent or spread out. A lower variance indicates that the delivery times are closer to the average or consistent with the average delivery time. The population variance for this data is 227.51. Which indicates that on average the delivery times deviate from the mean by a spread of 227.51 squared. This indicates that there are inconsistencies in delivery times.
All of these methods can be used for further analysis, because the data is quantitative. For mean you can calculate delivery time, number of pizzas, and distance. Median you can find the average value of delivery times. For mode you can find the most common number of pizzas purchased. Range, you can calculate the difference between the highest and lowest delivery times. Variance you can measure how much the delivery times vary from the mean time. Standard deviation, it tells you how different each delivery times are compared to the mean. Box plot, you can visually display the delivery times. As for variance, it tells us how much the delivery times differ from the mean delivery time mean. It measures the "spread" of the data (Hayes, 2024). A higher variance means that the delivery times are more inconsistent or spread out. A lower variance indicates that the delivery times are closer to the average or consistent with the average delivery time. The population variance for this data is 227.51. Which indicates that on average the delivery times deviate from the mean by a spread of 227.51 squared. This indicates that there are inconsistencies in delivery times.
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter1: Variables, Expressions, And Integers
Section1.7: Multiplying And Dividing Integers
Problem 1E
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Transcribed Image Text:All of these methods can be used for further analysis, because the data is
quantitative. For mean you can calculate delivery time, number of pizzas, and
distance. Median you can find the average value of delivery times. For mode you
can find the most common number of pizzas purchased. Range, you can calculate
the difference between the highest and lowest delivery times. Variance you can
measure how much the delivery times vary from the mean time. Standard
deviation, it tells you how different each delivery times are compared to the mean.
Box plot, you can visually display the delivery times.
As for variance, it tells us how much the delivery times differ from the mean
delivery time mean. It measures the "spread" of the data (Hayes, 2024). A higher
variance means that the delivery times are more inconsistent or spread out. A
lower variance indicates that the delivery times are closer to the average or
consistent with the average delivery time. The population variance for this data is
227.51. Which indicates that on average the delivery times deviate from the mean
by a spread of 227.51 squared. This indicates that there are inconsistencies in
delivery times.
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