Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
The Response Rate is the ratio of the number of people who participated in a survey to the total number of people who were invited to participate.
A high response rate is desirable because it increases the likelihood that the sample is representative of the entire population.
A low response rate can lead to non-response bias, where the results are skewed because the people who chose not to respond may have different opinions or characteristics than those who did respond.
Response rates are expressed as a percentage ().
Factors that can improve response rates include keepings surveys short, offering incentives, and sending follow-up reminders.
📐Formulae
💡Examples
Problem 1:
A researcher sends out email surveys to students to gather data on their study habits. By the end of the week, students have completed the survey. Calculate the response rate.
Solution:
Explanation:
To find the response rate, divide the number of successful responses () by the total number of surveys sent (), then multiply by to convert the fraction into a percentage.
Problem 2:
A local council wants to achieve a response rate for their new community project survey. If they need at least responses to make the data statistically significant, how many surveys should they distribute at minimum?
Solution:
Explanation:
We use the relationship . Rearranging to find the total, we divide the required responses () by the target rate expressed as a decimal (). They need to distribute surveys.
Problem 3:
In a survey about school lunches, questionnaires were handed out. were returned. Calculate the number of non-respondents and use it to find the percentage of people who did NOT respond.
Solution:
Explanation:
First, subtract the number of responses from the total to find the non-respondents (). Then, divide this by the total () and multiply by to get the non-response rate of .