Inferential statistics

Definition

Inferential statistics involves using a random sample of data taken from a population to make inferences about the entire population. It includes estimation, hypothesis testing, and prediction.

5 Must Know Facts For Your Next Test

1. Inferential statistics allows for conclusions that extend beyond the immediate data alone.
2. Key techniques include confidence intervals and hypothesis tests.
3. It relies on probability theory to estimate population parameters based on sample statistics.
4. Sampling distribution is a fundamental concept used in inferential statistics.
5. A common goal is to determine if observed patterns are statistically significant.

Review Questions

• What are two main techniques used in inferential statistics?
• Explain how inferential statistics differ from descriptive statistics.
• Why is the concept of sampling distribution important in inferential statistics?

Related terms

Descriptive Statistics:

Techniques that summarize or describe the characteristics of a data set.

Population:

The entire group to which you want to generalize your results.

Hypothesis Testing:

A method of making decisions using data, whether by rejecting a null hypothesis or failing to reject it.