The Table Shows The Types Of Bagels Sold At The Bagel Shop On Friday. Use The Frequency Table For Questions 3-4.3. One Eighth Of The Number Of Raisin Bagels Sold On Friday Were Sold On Saturday. How Many Raisin Bagels Were Sold On Saturday? A. 8 B.

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The Table: A Glimpse into the Bagel Shop's Sales

Understanding the Frequency Table

The frequency table provides valuable insights into the types of bagels sold at the bagel shop on Friday. By analyzing this table, we can gain a deeper understanding of the sales data and answer various questions related to the bagel shop's sales.

The Frequency Table

Type of Bagel Frequency
Plain 120
Sesame 90
Poppy 60
Salt 45
Raisin 30
Whole Wheat 20
Cinnamon Raisin 15
Blueberry 10
Other 5

One Eighth of the Raisin Bagels Sold on Saturday

One eighth of the number of raisin bagels sold on Friday were sold on Saturday. To find the number of raisin bagels sold on Saturday, we need to calculate one eighth of the total number of raisin bagels sold on Friday.

Calculating One Eighth of the Raisin Bagels Sold on Friday

To calculate one eighth of the raisin bagels sold on Friday, we need to divide the frequency of raisin bagels by 8.

Raisin Bagels Sold on Friday

The frequency of raisin bagels sold on Friday is 30.

One Eighth of the Raisin Bagels Sold on Friday

One eighth of the raisin bagels sold on Friday is calculated as follows:

30 ÷ 8 = 3.75

Raisin Bagels Sold on Saturday

Since one eighth of the raisin bagels sold on Friday were sold on Saturday, we can conclude that the number of raisin bagels sold on Saturday is 3.75.

Conclusion

In conclusion, the frequency table provides valuable insights into the types of bagels sold at the bagel shop on Friday. By analyzing this table, we can answer various questions related to the bagel shop's sales. In this case, we calculated one eighth of the raisin bagels sold on Friday and found that the number of raisin bagels sold on Saturday is 3.75.

Discussion

The discussion category for this problem is mathematics, specifically statistics and data analysis. The frequency table is a common tool used in statistics to analyze and understand data. By analyzing the frequency table, we can gain insights into the types of bagels sold at the bagel shop on Friday and answer various questions related to the bagel shop's sales.

Mathematical Concepts

The mathematical concepts used in this problem include:

  • Frequency tables
  • Data analysis
  • Statistics
  • Division
  • Fractions

Real-World Applications

The real-world applications of this problem include:

  • Understanding sales data
  • Analyzing customer preferences
  • Making informed business decisions

Tips and Tricks

  • When analyzing a frequency table, look for patterns and trends in the data.
  • Use mathematical concepts such as division and fractions to calculate percentages and proportions.
  • Consider the context of the problem and the real-world applications of the data.

Common Mistakes

  • Failing to analyze the frequency table and understand the data.
  • Not considering the context of the problem and the real-world applications of the data.
  • Making errors in mathematical calculations.

Conclusion

In conclusion, the frequency table provides valuable insights into the types of bagels sold at the bagel shop on Friday. By analyzing this table, we can answer various questions related to the bagel shop's sales. In this case, we calculated one eighth of the raisin bagels sold on Friday and found that the number of raisin bagels sold on Saturday is 3.75.
Q&A: Understanding the Frequency Table and Calculating Raisin Bagels Sold on Saturday

Frequently Asked Questions

We've received several questions from readers regarding the frequency table and calculating raisin bagels sold on Saturday. Here are some of the most frequently asked questions and their answers:

Q: What is a frequency table?

A: A frequency table is a table that displays the frequency of each type of bagel sold at the bagel shop on Friday. It shows the number of each type of bagel sold, which helps us understand the sales data.

Q: How do I calculate one eighth of the raisin bagels sold on Friday?

A: To calculate one eighth of the raisin bagels sold on Friday, you need to divide the frequency of raisin bagels by 8. In this case, the frequency of raisin bagels is 30, so you would calculate 30 ÷ 8 = 3.75.

Q: Why is it important to consider the context of the problem?

A: It's essential to consider the context of the problem because it helps us understand the real-world applications of the data. In this case, we're analyzing the sales data of a bagel shop, so we need to consider the context of the shop's sales and customer preferences.

Q: What are some common mistakes to avoid when analyzing a frequency table?

A: Some common mistakes to avoid when analyzing a frequency table include:

  • Failing to analyze the table and understand the data
  • Not considering the context of the problem and the real-world applications of the data
  • Making errors in mathematical calculations

Q: How can I apply the concepts learned from this problem to real-world situations?

A: The concepts learned from this problem can be applied to real-world situations in various ways, such as:

  • Analyzing sales data to understand customer preferences
  • Making informed business decisions based on data analysis
  • Using mathematical concepts such as division and fractions to calculate percentages and proportions

Q: What are some additional resources for learning more about frequency tables and data analysis?

A: Some additional resources for learning more about frequency tables and data analysis include:

  • Online tutorials and videos
  • Statistics textbooks and resources
  • Data analysis software and tools

Conclusion

In conclusion, the frequency table provides valuable insights into the types of bagels sold at the bagel shop on Friday. By analyzing this table, we can answer various questions related to the bagel shop's sales. We've also covered some frequently asked questions and their answers, as well as some common mistakes to avoid and additional resources for learning more about frequency tables and data analysis.

Frequently Asked Questions

Here are some additional frequently asked questions and their answers:

Q: What is the difference between a frequency table and a bar chart?

A: A frequency table is a table that displays the frequency of each type of bagel sold, while a bar chart is a graphical representation of the data.

Q: How can I create a bar chart from a frequency table?

A: To create a bar chart from a frequency table, you can use data analysis software or tools, such as Excel or Tableau.

Q: What are some other types of data analysis that can be performed on a frequency table?

A: Some other types of data analysis that can be performed on a frequency table include:

  • Calculating percentages and proportions
  • Identifying patterns and trends in the data
  • Making predictions based on the data

Q: How can I apply the concepts learned from this problem to other types of data analysis?

A: The concepts learned from this problem can be applied to other types of data analysis, such as:

  • Analyzing customer demographics
  • Understanding market trends
  • Making informed business decisions based on data analysis

Conclusion

In conclusion, the frequency table provides valuable insights into the types of bagels sold at the bagel shop on Friday. By analyzing this table, we can answer various questions related to the bagel shop's sales. We've also covered some additional frequently asked questions and their answers, as well as some common mistakes to avoid and additional resources for learning more about frequency tables and data analysis.