Making inferences from samples

Front

What is a biased sample?

Back

A biased sample is one that does not accurately represent the population from which it is drawn, leading to skewed results.

Front

What is a random sample?

Back

A random sample is a subset of a population where each member has an equal chance of being selected, ensuring that the sample represents the population well.

Front

How do you determine the number of dogs likely to have ID microchips if 3 out of 20 dogs in a sample have them?

Back

If 3 out of 20 dogs have microchips, then 15% of the dogs have them. To find the total, calculate 15% of 1200 dogs, which is 180 dogs.

Front

What is the purpose of sampling in statistics?

Back

Sampling allows researchers to gather data and make inferences about a larger population without surveying every individual.

Front

What is the formula to calculate the proportion of a sample?

Back

Proportion = (Number of favorable outcomes) / (Total number of outcomes in the sample).

Front

What does it mean if a survey is conducted randomly?

Back

It means that every individual in the population has an equal chance of being selected, which helps to eliminate bias.

Front

What is a dot plot?

Back

A dot plot is a statistical chart that uses dots to represent the frequency of data points in a dataset.

Front

If 4 out of 10 seventh graders like to play paper football, how many students like it in a survey of 800?

Back

320 students like to play paper football (4/10 of 800 = 320).

Front

What is the difference between biased and random sampling?

Back

Biased sampling leads to unrepresentative results, while random sampling ensures that every member of the population has an equal chance of being included.

Front

What is a population in statistics?

Back

A population is the entire group of individuals or instances about whom we hope to learn.