Chapter 1 Introduction to Statistics

Front

What is Cluster Sampling?

Back

A sampling technique where the population is divided into groups (clusters) and entire clusters are randomly selected for the sample.

Front

What is Nominal Data?

Back

Data that represents categories without any order or ranking, such as hair color or types of pizza.

Front

What is Simple Random Sampling?

Back

A sampling method where every member of the population has an equal chance of being selected.

Front

What is the purpose of Stratified Sampling?

Back

To ensure that specific subgroups within a population are adequately represented in the sample.

Front

What is Convenience Sampling?

Back

A non-probability sampling method where samples are taken from a group that is easy to reach.

Front

What is Systematic Sampling?

Back

A sampling method where you select every nth member from a list of the population.

Front

What is the difference between Quantitative and Qualitative Data?

Back

Quantitative data is numerical and can be measured, while qualitative data describes characteristics and cannot be measured.

Front

What is the importance of a Representative Sample?

Back

A representative sample accurately reflects the characteristics of the population, allowing for valid conclusions.

Front

What is the role of Random Number Tables in Sampling?

Back

They are used to ensure that the selection of samples is random and unbiased.

Front

What is the definition of Population in Statistics?

Back

The entire group of individuals or instances about whom we hope to learn.