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Brand A 1200 1000 900 800 700 3500 2000 300 700 Brand B 300 4000 100 100 100 100 100 100 100 The data above shows the monthly purchase quantity of two different brand items in a store. a. Is there any outlier month for brand A? for Brand B? b. How to compare sale of Brand A products with Brand B products?

Brand A 1200 1000 900 800 700 3500 2000 300 700 Brand B 300 4000 100 100 100 100 100 100 100 The data above shows the monthly purchase quantity of two different brand items in a store. a. Is there any outlier month for brand A? for Brand B? b. How to compare sale of Brand A products with Brand B products?

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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can you help me with  a and b 

**Monthly Purchase Quantity of Two Brands** | Brand A | Brand B | |---------|---------| | 1200 | 300 | | 1000 | 4000 | | 900 | 100 | | 800 | 100 | | 700 | 100 | | 3500 | 100 | | 2000 | 100 | | 300 | 100 | | 700 | 100 | The data above shows the monthly purchase quantity of two different brand items in a store. **Questions:** a. Is there any outlier month for Brand A? For Brand B? b. How to compare the sale of Brand A products with Brand B products? --- **Analysis Guidelines:** 1. **Identifying Outliers:** - For Brand A, observe the quantity spike to 3500, which might indicate an outlier compared to the other months. - For Brand B, the month with 4000 stands out as an outlier given the significantly lower quantities in other months. 2. **Comparison of Sales:** - To compare sales, consider summarizing the data using statistical measures such as mean, median, or mode. - Visual aids such as bar charts or line graphs could be helpful to represent the fluctuating quantities visually. - Additionally, a comparison of standard deviations might provide insights into the variability and consistency of sales for each brand.
Transcribed Image Text:**Monthly Purchase Quantity of Two Brands** | Brand A | Brand B | |---------|---------| | 1200 | 300 | | 1000 | 4000 | | 900 | 100 | | 800 | 100 | | 700 | 100 | | 3500 | 100 | | 2000 | 100 | | 300 | 100 | | 700 | 100 | The data above shows the monthly purchase quantity of two different brand items in a store. **Questions:** a. Is there any outlier month for Brand A? For Brand B? b. How to compare the sale of Brand A products with Brand B products? --- **Analysis Guidelines:** 1. **Identifying Outliers:** - For Brand A, observe the quantity spike to 3500, which might indicate an outlier compared to the other months. - For Brand B, the month with 4000 stands out as an outlier given the significantly lower quantities in other months. 2. **Comparison of Sales:** - To compare sales, consider summarizing the data using statistical measures such as mean, median, or mode. - Visual aids such as bar charts or line graphs could be helpful to represent the fluctuating quantities visually. - Additionally, a comparison of standard deviations might provide insights into the variability and consistency of sales for each brand.
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