What does the author achieve by mixing exact and approximate numbers in "A Contribution to Statistics?" Select the link to access the Short Answer Rubric.

The author achieves several things by mixing exact and approximate numbers in "A Contribution to Statistics."

First, the use of exact numbers lends credibility and specificity to the data presented. It gives the impression that the author has thoroughly researched and accurately measured the statistics. This helps to build the author's argument and persuade the reader to trust the information being presented.

On the other hand, the author also includes approximate numbers to emphasize the magnitude and significance of the statistics. The use of round numbers or estimates creates a sense of scale and highlights the overall trends or patterns being discussed. This can make the information more accessible and relatable to the reader, as they can easily grasp the general idea without getting caught up in the minutiae of precise figures.

Additionally, incorporating both exact and approximate numbers can serve to emphasize the limitations of statistical data. By acknowledging that not all numbers can be determined with absolute precision, the author acknowledges the inherent uncertainty and variability in statistical analysis. This can help to prevent the reader from blindly accepting numbers as irrefutable facts and encourages critical thinking and interpretation.

Overall, the mixture of exact and approximate numbers in "A Contribution to Statistics" helps to enhance the credibility, impact, and interpretability of the data, while also acknowledging the limitations of statistical analysis.

In "A Contribution to Statistics" by Benjamin Franklin, the author achieves a sense of credibility and precision by mixing exact (or specific) numbers with approximate numbers. By using exact numbers, the author demonstrates that he has conducted thorough research and has access to reliable data. This helps to establish his expertise on the subject matter and enhances his persuasive effect.

On the other hand, the use of approximate numbers allows the author to make generalizations and highlight trends or patterns without getting too caught up in specific details. By presenting these approximations, the author can make statistical information more accessible and relatable to the readers. This helps to engage the audience and facilitates their understanding of the larger statistical concepts being discussed.

Overall, the strategic use of both exact and approximate numbers in "A Contribution to Statistics" allows the author to balance precision with accessibility, thus effectively conveying his message and convincing the readers of the importance and relevance of statistical analysis.

To understand what the author achieves by mixing exact and approximate numbers in "A Contribution to Statistics," we first need to locate and analyze the text.

To do this:

1. Identify the specific text "A Contribution to Statistics" that you are referring to. This could be a book, an article, or any other written work. Make sure you have a clear understanding of the context and the purpose of the text.

2. Locate the text. If it's a book, find a copy of the book either online, in a library, or a personal copy that you have access to. If it's an article, search for the article using search engines, academic databases, or any other relevant sources.

3. Read the text carefully, paying attention to the use of both exact and approximate numbers. Look for patterns or recurring instances of these numbers and consider their significance within the author's argument or narrative.

4. Analyze the role of exact and approximate numbers. Consider how the author uses them to support their points, create emphasis, evoke curiosity, or persuade the reader. Look for any specific effects achieved by using these different types of numbers.

Once you have analyzed the text and understood the author's purpose, you will be able to answer the question about what the author achieves by mixing exact and approximate numbers in "A Contribution to Statistics."