Statistical Studies and Sampling Methods

A ___ is a small portion of the population used to gather data from.

• Systematic Sampling Method

• Sample

• Population

• Bias

A teacher wants to know the average time spent doing homework by the students in her class of 20 girls and 5 boys.
She randomly selects 5 students.

• Convenience Sampling

• Systematic Sample

• Stratified Sample

• Random Sample

A teacher wants to know the average time spent doing homework by the students in her class of 20 girls and 5 boys.
She selects a random student to start then picks the student in every 5th seat.

• Random

• Systematic

• Voluntary Response

• Stratified

The principal of a high school wants to know if male students or female students are late to school more often. He separates the students by gender, then randomly chooses a group of 30 male students, then a group of 30 female students. This is an example of

• random sampling

• Stratified sampling

• Voluntary-Response

• systematic sampling

Match each example with the sampling method to survey 100 employees of a company that has 1000 employees.

• Systematic Sampling

• You want to select a simple random sample of 1000 employees of a social media marketing company. You assign a number to every employee in the company database from 1 to 1000, and use a random number generator to select 100 numbers.

• Simple Random Sampling

• All employees of the company are listed in alphabetical order. From the first 10 numbers, you randomly select a starting point: number 6. From number 6 onwards, every 10th person on the list is selected (6, 16, 26, 36, and so on), and you end up with a sample of 100 people.

• Stratified Sampling

• The company has offices in 10 cities across the country (all with roughly the same number of employees in similar roles). Travel to every office to collect your data is unreasonable, so use random sampling to select 3 offices.

• Cluster Sampling

• The company has 800 female employees and 200 male employees. You want to ensure that the sample reflects the gender balance of the company, so you sort the population into two strata based on gender. Then you use random sampling on each group, selecting 80 women and 20 men, which gives you a sample representative of 100 people.

Choosing a sample because it is convenient.

• Convenience Sampling

• Random Sampling

• Voluntary-Response Sampling

• Systematic Sampling

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

• Sample

• Population

• Random Sample

• Quartile

each item or person in the population is as likely to be chosen as any other

• biased sample

• systematic random sample

• unbiased sample

• simple random sample

A teacher wants to know the average time spent doing homework by the students in her class of 20 girls and 5 boys.
She picks the student in every 5th seat.

• Simple Random

• Systematic Random

• voluntary response

• convenience

Assign each car in a dealership a number and then use a random-number table to select the cars to be inspected. 

• systematic

• simple random sample

• convenience

• volunteer response