Statistical Reasoning for Everyday Life: Chapters 5, 6

Statistical Reasoning for Everyday Life: Chapters 5, 6

Statistics can be used to explain certain societal phenomenon such as the “Flynn Effect.” The article below looks at support for the argument that intelligence appears to increase intergenerationally. Does this phenomenon really exist? In reading the article you will employ your understanding of the normal distribution, probability, and central limit theorem to analyze this interesting purported phenomenon.

Article Analysis
Read the article entitled, “Are We Smarter than Our Parents?” in chapter 5 of your textbook. This article addresses a study by Dr. James Flynn of the rise of the IQ rate over generations, and how statistics are involved in tracking this phenomenon, especially with reference to the material in chapter 5.

Write an essay that explores some of the statistical data that has been found in this area of study. Additionally there are four questions for discussion listed at the end of the article. Choose and answer one of the four questions in a focused and clear manner. Remember to integrate the statistical data in the article that discusses this topic.

Length: 350-500 words

Required Reading:
Statistical Reasoning for Everyday Life: Chapters 7, 8
Chapter 7 PowerPoint.ppt
Chapter 8 PowerPoint.ppt

Assignment 6 Paper – Population in the News
This activity focuses on estimating population means which is a central activity in statistics. Using smaller samples statisticians often attempt to infer population parameters. This activity helps the learner understand the important concepts of what a population is, how it is measured, how measurements in statistical error occur, and what they mean for the interpretation of the results.

Article Analysis
Locate a news article or report (in a popular news source such as Time, Newsweek, or the Wall Street Journal) in which a population mean is estimated from a sample. The article should include a margin of error and confidence interval. Discuss the subject matter in the article, and interpret the results and what the confidence interval and margin of error mean as they apply to the specific subject matter.