## What is the primary purpose of inferential statistics?

Inferential statistics helps to suggest explanations for a situation or phenomenon. It allows you to draw conclusions based on extrapolations, and is in that way fundamentally different from descriptive statistics that merely summarize the data that has actually been measured.

## What is the focus of inferential statistics?

Inferential statistics are procedures used that allow researchers to infer or generalize observations made with samples to the larger population from which they were selected.

## Why do we use inferential statistics quizlet?

We use inferential statistics to try to infer from the sample data what the population might think. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study.

## Which result of an inferential statistic would indicate a statistically significant result?

A high p value means that the sample result would be likely if the null hypothesis were true and leads to the retention of the null hypothesis. When this happens, the result is said to be statistically significantUsed to describe a result for which the null hypothesis has been rejected..

## Which inferential statistic is also known as the level of significance?

In inferential statistics, this probability is called the p-value , 5% is called the significance level (α), and the desired relationship between the p-value and α is denoted as: p≤0.05.

## What is the appropriate decision if the test statistic is in the critical region?

if the value of the test statistic falls inside the critical region, then the null hypothesis is rejected at the chosen significance level. if the value of the test statistic falls outside the critical region, then there is not enough evidence to reject the null hypothesis at the chosen significance level.