Samples and Populations Practice

For a survey, a company manager assigned a number to each of the company’s 500 employees, and put the numbers in a bag. The manager chose 20 numbers and surveyed the employees with those numbers. Did the manager choose a random sample?

• Yes, every employee had an equal chance of being selected.

• No, every employee had an equal chance of being selected.

• Yes, every employee did not have an equal chance of being selected.

• No, every employee did not have an equal chance of being selected.

Jerry randomly selects 20 boxes of crayons from the shelf and finds 2 boxes with at least one broken crayon. If the shelf holds 130 boxes, how many would you expect to have at least one broken crayon?

• 12

• 11

• 10

• 13

_______ is a part of a group being surveyed.

• Sample

• Population

• Random Sample

• Quartile

_______ is the entire group of objects or individuals considered for a survey.

• Sample

• Population

• Random Sample

• Quartile

A safety inspector conducts air quality tests on a randomly selected group of 7 classrooms at an elementary school.

• The population is all classrooms in the district; the sample is the 7 classrooms selected.

• The population is all classrooms in the elementary school; the sample is the 7 classrooms selected.

• The population is all elementary students in the school; the sample is the students in the 7 classrooms selected.

What is the difference between the medians for the two data sets? 

• 0 tickets

• 2 tickets

• 4 tickets

• 6 tickets

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

• Sample

• Population

• Random Sample

• Quartile

True or False: all samples lead to a good prediction about an entire population.

• True

• False

Which data set shows a greater spread?

• Chess Club

• Checkers Club

• They have the same spread.

• You cannot tell from the box plots. 

When a sample does not accurately represent the population it is a:

• Unbiased sample

• Biased sample