Problem 4. In 2009 the LA Times Data Desk started its "Mapping LA" project, which included collecting information about all 114 distinct neighborhoods of the city of Los Angeles. The dataset we will...

Extracted text: Problem 4. In 2009 the LA Times Data Desk started its "Mapping LA" project, which included collecting information about all 114 distinct neighborhoods of the city of Los Angeles. The dataset we will work with in Problems 4-7 includes the 104 neighborhoods that, as of 2008, had at least one public school in the neighborhood. Here is some important information about the variables in the dataset: . Neighborhood: the name of the neighborhood * Income: the median income of the neighborhood's residents, in thousands of dollars . Schools: the median API score of schools in the neighborhood, measured on a scale from 2000 (bad) to 1000 (good) Asian corresponds to Asian 5) measured on a scale from 1 (not diverse at all) to 10 (very diverse) · Asian, Black, Latino, white: the percentage of residents with each of those ethnicities (i.e.,5% . Diversity: how likely neighborhood residents are to encounter a resident of a different ethnicity, . Population: the neighborhood's population, according to the 2000 U.S. Census, in thousands How many cases are in this dataset? Which variable is the label variable? categorica iable (circle one)? Is population a quantitative Was this dataset collected from an observational study (circle one)? experiment Which of the following plots would be useful for identifying the distribution of Income: (circle one)? histogram scatter plot pie chart