Chapter 2: Summarizing Data Frequencies & Visualizations
All of the following are true of a pie chart, except
A pie chart is used for continuous data
A researcher is interested in exploring how mothers' education level affects children's cognitive skills. The data for mothers' education level is categorical (e.g.: some schooling, high school, associate's degree, college degree). This data would be _________ and can be summarized using _____________.
Ungrouped; relative frequency
An ogive is a dot-and-line graph used to summarize the cumulative percent of continuous data at the upper boundary of each interval.
True
A student took the SAT and scored in the 85th percentile. This means that the student scored
Higher than 85% of people who took the exam
The lower and upper limits for each interval in a grouped frequency distribution are called
Interval boundaries
A researcher reports that 9 persons in a sample of 45 reported drinking between 2 and 4 cups of coffee per day. What is the relative percentage for this interval?
9/45 = 0.2 *100 = 20%
A developmental psychologist wants to know at most how many words from a list of 24 children will remember. If she constructs a frequency distribution for this data, what type of distribution would be most appropriate to answer her question?
A cumulative frequency distribution from the bottom up
A stem-and-leaf display retains the percent of all data points.
False
Summarizing data in a table or graph can make it more difficult to see patterns in the data.
False
In a simple frequency distribution, to determine _______________, we divide the observed range by the number of intervals.
The interval width
A researcher distributes frequencies into the following intervals: 0-20, 21-40, 41-60, 61-80, and 81-110. What is wrong with this frequency distribution?
The interval width is unequal
A ___________ uses symbols or illustrations to summarize frequency data
Pictogram
A histogram is used to summarize quantitative, continuous data and a bar graph to summarize qualitative, discrete data.
True
The real range is the 1+ (the difference between the largest value and smallest value in a data set).
True
