Sampling Quiz

Two female stats students asked a random sample of 60 high school boys, "Have you ever cried during a movie?" 30 were asked directly and 30 were asked anonymously. 63% of the anonymous group said, "Yes" but only 23% of the other group said "Yes". This is an example of:

• nonresponse bias

• a convenience sample

• response bias

• a push poll with wording bias

You want to conduct a survey about student drug use. You think responses may vary greatly by grade level, so you decide to randomly select 50 students from each grade level for your sample. What sampling method is this?

• Simple Random Sampling

• Convenience Sampling

• Cluster Sampling

• Stratified Sampling

You want to ask students about their plans for winter break. You can't identify any groups that might respond differently than others, so you decide to randomly select classrooms and survey all students in the selected classrooms. This is an example of a:

• Convenience Sample

• Cluster Sample

• Simple Random Sample

• Stratified Sample

After conducting a survey, you conclude that bias is not a problem but you want a more precise estimate with less variability in your sample statistics. Therefore you should:

• Increase the sample size

• Decrease the sample size

• Change the wording of the questions

• Make the survey anonymous

You've written a survey question, "Given that plastic bags are ugly, hard to recycle, and take forever biograde, do you support a city-wide ban on plastic bags?" This survey question suffers from:

• nonresponse bias

• underrepresentation bias

• wording bias

• voluntary response bias

Tags

CCSS.RI.11-12.7

CCSS.RI.9-10.7

CCSS.RL.11-12.7

CCSS.RL.8.7

CCSS.RL.9-10.7

After conducting a survey of teacher satisfaction, you realize that your sampling frame omitted all of the teachers in the fine arts wing. Your survey results will suffer from:

• Nonresponse bias

• Response bias

• Undercoverage (underrepresentation) bias

• Wording bias

Bias in a sample survey results in:

• consistently over or underestimating the true value of the parameter.

• a high degree of variability in the data

• a high degree of accuracy in the data

• a representative sample

Suppose you survey a SRS of 100 HHS students about their Canvas experience. Suppose the results show that 65% of students feel positive about Canvas. The 100 HHS students represent:

• the sample

• the population

• a census

• the bias

You are conducting a sample survey of HHS students. You assign each student a number from 1 to 2850 and then randomly select 100 students, ignoring any repeated numbers. This is what type of sample:

• Systematic

• Simple Random

• Convenience

• Cluster

You conduct a sample survey of HHS online students and ask them, "Did you or a parent make the decision to be online?" The sample result was 40% of students indicated it was their decision. If you obtained a new sample, you should expect:

• the next sample to produce a result of exactly 40%

• the next sample to produce a result somewhat close to 40%

• the next sample to produce a result that is far away from 40%

• it is impossible to know what if the next sample will be close to 40% or not.