2. Describing Data with Tables and Graphs

Which type of frequency distribution graph is most appropriate for displaying data measured on a $nominal$ scale?

In the context of frequency distributions, what is the main difference between class limits and class boundaries?

Given the following partial relative frequency distribution for a set of data: Category A: $0.25$, Category B: $0.40$, Category C: $0.20$. What is the relative frequency for Category D if these are the only categories?

Which of the following best describes the difference between a $\mathrm{frequency} \mathrm{polygon}$ and an $\mathrm{ogive}$ in $\mathrm{frequency} \mathrm{distributions}$?

Given a frequency distribution of response times grouped into intervals, which interval accounts for the lowest percentage of response times?

Given a frequency distribution with most data values clustered to the left and a long tail extending to the right, what is the shape of the distribution shown?

In a frequency distribution for a numerical variable, intervals are:

Which of the following statements is true regarding relative frequency distributions?

Given a frequency distribution with most data values clustered to the left and a long tail extending to the right, what is the shape of the distribution shown?

Which of the following is a primary benefit of representing data sets using $\mathrm{frequency} \mathrm{distributions}$?

Given the following data on eye color for a group of $20$ students: $8$ have brown eyes, $6$ have blue eyes, $4$ have green eyes, and $2$ have hazel eyes, which of the following is the correct relative frequency table for eye color?

Which of the following could be a cumulative frequency graph?

Which of the following is a characteristic of a frequency table?

Given a frequency distribution that is $\mathrm{symmetric}$ and $\mathrm{bell}-\mathrm{shaped}$, what is the shape of the distribution shown?

In the context of frequency distributions, what is the main difference between class limits and class boundaries?