3C

Season Num_clouds
1 4
2 7
3 5
4 5
5 6
6 9
7 10
8 7
9 9
10 9
11 10
12 8
13 8
Number of Clouds Frequency
4
5
6
7
8
oscar_no oscar_yr award name movie age birth_pl birth_mo birth_d birth_y
1 1929 Best actress Janet Gaynor 7th Heaven 22 Pennsylvania 10 6 1906
2 1930 Best actress Mary Pickford Coquette 37 Canada 4 8 1892
3 1931 Best actress Norma Shearer The Divorcee 28 Canada 8 10 1902
4 1932 Best actress Marie Dressler Min and Bill 63 Canada 11 9 1868
5 1933 Best actress Helen Hayes The Sin of Madelon Claudet 32 Washington DC 10 10 1900

A reel of film, a popcorn bucket, movie tickets, and a beverage cup. A bar graph of Best Actress and Best Actors Winners by age. The vertical axis is labeled "Count" and numbered in increments of 10 up to 30 and the horizontal is labeled "Age of Best Actress and Best Actor Winners." The bar for ages 20-24 goes approximately two thirds of the way to the line at 10. The bar for ages 25-29 goes approximately three quarters of the way to the line at 30. The bar for ages 30-34 goes approximately one fifth of an increment above the line at 30. The bar for ages 35-39 goes approximately one fifth of an increment above the line at 30. The bar for ages 40-44 goes approximately one half of an increment above the line at 30. The bar for ages 45-49 goes approximately one tenth of an increment below the line at 20. The bar for ages 50-54 goes approximately one fifth of an increment above the line at 10. The bar for ages 55-59 goes approximately halfway to the line at 10. The bar for ages 60-64 goes approximately one third of an increment above the line at 10. The bar for ages 65-69 is at zero. The bar for ages 70-74 goes approximately one tenth of an increment above the line at 0. The bar for ages 75-79 goes approximately one tenth of an increment above the line at 0. The bar for ages 80-84 goes approximately one tenth of an increment above the line at 0.

Skill or Concept: I can . . . Questions to check your understanding Rating
from 1 to 5
Identify quantitative variables and the plots used to visualize their distributions. 1, 2
Use technology to make a plot of the distribution of a quantitative variable. 4, 6, 7
Use a histogram to describe a distribution. 5
Identify how bin width affects a histogram. 6
Use a dotplot to describe a distribution. 8
Identify the population and sample and explain limitations on the scope of the analysis based on sample data. 9

Glossary

dotplot
a graphical display for quantitative data where each dot represents an observation.
histogram
a graphical display that groups observations into bins rather than having a single dot for each observation.
bin
a range of values that the quantitative variable can take.
endpoints
the smallest and largest values of the quantitative variable represented in the bin.
width
a numerical value that is calculated by the difference in the values of the end points.
population
the group of individuals or entities that our research or survey questions pertain to.
sample
a group of individuals or entities on which we collect data.
representative
when the characteristics of a sample tend to match the characteristics of the population.
generalize
when the sample is representative of the population, this transfers our analysis of the sample to the population.