What does this assignment teach you about relying solely on summary statistics? How do boxplots help reveal differences that basic statistics, such as the mean and variance fail to capture? Why might relying only on summary statistics lead to misleading conclusions in real-world data analysis?

What differences do the boxplots reveal that the means and variances computed in question#1 do not? How does the spread of data compare across the four datasets?

For each dataset, compute the following for X, Y, Z, and U using Excel, StatCrunch or ArtofStat. Round your answers to two decimal places and use proper statistical notation. Compute the mean for each set. Use proper notation.  Compute the variance for each set. Use proper notation. Find the Five-Number summary (minimum, Q1, median, Q3, maximum) for each set. Use proper notation. Find Interquartile Range (IQR) for each set. Use proper notation. Hint: You can organize your answers into a table with the following settings: Summary Statistics sample mean (include notation) Sample variance (include notation) Five Number Summary IQR Data set #1, X Data set #2, Y Data set #3, U Data set#4, Z Important: Round all answers to two decimal places.

The first important “right-to-die” law was passed with the Oregon Death with Dignity Act.

Among older persons, clinical depression is the most important cause of suicide.

The majority of older people do not feel sad or unhappy most of the time.

There are differences in the rates of diagnosis and treatment for depression for community dwelling older adults who are members of ethnic minority groups.

Most older suicide victims live alone.

Among the patients studied by Pearlman and Starks, the pursuit of physician-assisted death was motivated by all of the following factors except one. Which one?

“Passive euthanasia” is defined as: