Sampling and Survey Quiz (SPA3e 3.1-3.5)

Identify the Population:

Cherokee County Schools randomly selected 230 teachers to find out which technology resource its teachers feel is the most effective. What is the population in this situation?

• 230 Teachers

• All Cherokee County teachers

• All Cedar Bluff teachers

• All Sand Rock and Spring Garden students

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Identify the Sample:

The Huddle House wants to know if their customers buy dessert when they eat out. As people leave the restaurant one evening, 20 people are surveyed at random. Eight people say they usually order dessert when they eat out. The manager at Huddle House concluded that most customers do not order dessert. What is the SAMPLE in this scenario?

• 20 customers from Huddle House

• All customers from Huddle House that evening

• 8 customers from Huddle House

• The employees from Huddle House

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Interviewing all members of a given population is called:

• a sample

• a census

• a Gallup poll

• a Nielsen audit

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

_________ is a sample in which each individual or object in the entire population has an equal chance of being selected.

• Non-Probability Sample

• Population

• Random Sample

• Biased Sample

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

How do we reduce variability?

• Increase randomness.

• Increase sample size.

• Decrease randomness.

• Decrease sample size.

How do we reduce bias?

• Increase variability

• Increase randomness

• Decrease randomness

• Decrease variability

Tags

CCSS.HSS.IC.B.3

The parameter is a number describing the:

• population

• sample

• survey

• percent

Tags

CCSS.HSS.IC.B.3

The statistic is a number describing the:

• population

• sample

• survey

• percent

Tags

CCSS.HSS.IC.B.3

Why do we want our samples to be random?

• To decrease the margin of error

• To increase our confidence

• To decrease variability

• To decrease bias

Tags

CCSS.HSS.IC.B.3

Why is a sample of 1000 people better than a sample of 100 people?

• It reduces the margin of error.

• It decreases bias.

• Having more people is always better.

• It will get more results

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1