Here are the essential concepts you must grasp in order to answer the question correctly.
Complement of an Event
The complement of an event refers to all outcomes in a sample space that are not included in the event itself. For example, if Event C is defined as a randomly chosen resident being 18 years or older, the complement would be all residents younger than 18. Understanding complements is crucial for calculating probabilities, as the probability of an event plus the probability of its complement equals one.
Recommended video:
Probability Calculation
Probability is a measure of the likelihood that a particular event will occur, expressed as a number between 0 and 1. To find the probability of an event, you divide the number of favorable outcomes by the total number of possible outcomes. In this case, to find the probability of residents not being less than 18 years old, you would sum the frequencies of the age groups 18-24, 25-39, 40-54, 55-69, and 70 and over, and divide by the total population.
Recommended video:
Probability From Given Z-Scores - TI-84 (CE) Calculator
Frequency Distribution
A frequency distribution is a summary of how often each value occurs in a dataset. In this context, the table shows the number of residents in different age groups, which helps in understanding the population structure. Analyzing the frequency distribution allows for easier calculations of probabilities and insights into demographic trends, such as the proportion of residents who are 18 years or older.
Recommended video:
Intro to Frequency Distributions