has ropriate response. ich type of bias oceurs because we do not obtain complete
ID: 2947172 • Letter: H
Question
has ropriate response. ich type of bias oceurs because we do not obtain complete information about a populationt A) nonresponse blas G) sampling bias B) response bias D) no bias 2) An online newspaper conducted a survey by asking. "Do you support the lowering of air 2) quality standards if it could cause the death of millions of innocent people from pollution related diseases?" Determine the type of bias. 3) Before opening a new dealership, an auto manufacturer wants to gather information about 3) car ownership and driving habits of the local residents. The marketing manager of the company randomly selects 1000 households from all households in the area and mails a questionnaire to them. Of the 1000 surveys mailed, she receives 100 back. Determine the type of bias. ) Quantitative variables classify individuals in a sample according to A) numerical measure. C) physical attribute. B) personality characteristic. D) exhibited trait. The government of a town needs to determine if the city's residents will support the cons new town hall. The government decides to conduct a survey of a sample of the city's r hich one of the following procedures would be most approprjate for obtaining a sam n's residents? ) Survey a random sample of persons within each geographic region of the city Survey the first 300 people listed in the town's telephone directory Survey every 7th person who walks into city hall on a given dayExplanation / Answer
1. A) Non-response bias
In survey sampling, individuals chosen for the sample are unwilling or unable to participate in the survey. Nonresponse bias is the bias that results when respondents differ in meaningful ways from nonrespondents. Nonresponse is often problem with mail surveys, where the response rate can be very low.
2. Response Bias : Response bias (also called survey bias) is the tendency of a person to answer questions on a survey untruthfully or misleadingly. For example, they may feel pressure to give answers that are socially acceptable.
3. Non-response Bias : In survey sampling, individuals chosen for the sample are unwilling or unable to participate in the survey. Nonresponse bias is the bias that results when respondents differ in meaningful ways from nonrespondents. Nonresponse is often problem with mail surveys, where the response rate can be very low.
Non-response leads to a smaller final sample size and, therefore, to a loss of accuracy in population estimates. Non response bias is introduced bias in statistics when respondents differ from non respondents. In other words, it will throw your results off or invalidate them completely. It can also result in higher variances for the estimates, as the sample size you end up with is smaller than the one you originally had in mind.
4. A) Numerical Measure
Quantitative Variables that have are measured on a numeric or quantitative scale. Ordinal, interval and ratio scales are quantitative. A country's population, a person's shoe size, or a car's speed are all quantitative variables.Variables that are not quantitative are known as qualitative variables
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.