$histogram: distribution of ages$

Shape: The distribution of ages appears skewed to the right. Most of the Oscar winners for Best Actor are under 50. More precisely, we see that 75% (24 out of 32) of the winners are under 50.

Center: The distribution of ages appears to be centered between 35 and 45 years. Typical Oscar winners for Best Actor are between 35 and 45 years old.

Spread: The data range from about 30 to about 80. So the overall range is approximately 50. There is a lot of variability in the ages of actors that have won the Oscar for Best Actor.

Outliers: There is one possible outlier who is between 75 and 80 years old.

Here is a sample paragraph that summarizes the observations without formal vocabulary:

Between the years of 1970 and 2001, the Oscar for Best Actor was awarded most often to actors between the ages of 35 and 45. Winners ranged in age from about 30 to about 80, but only 1 of the 32 was over 65. 75% (24 out of 32) of the winners were under the age of 50.

Here is a paragraph that uses more formal vocabulary to summarize the distribution of ages:

Between the years of 1970 and 2001, the Oscar for Best Actor was awarded most often to actors between the ages of 35 and 45. The distribution of ages is skewed to the right, with 75% (24 out of 32) of the winners under the age of 50. Winners ranged in age from about 30 to about 80, with one outlier between the ages of 75 and 80.

Note: A complete summary will describe shape, center, and spread. Check your summary for these three types of observations. Percentages make your description more precise. The percentages you use to summarize the data will depend on how you constructed your histogram.