AP PSYCHOLOGY

Detailed explanation-1: -Hypothesis testing is a type of inferential statistics that is used to test assumptions and draw conclusions about the population from the available sample data.

Detailed explanation-2: -While descriptive statistics summarize the characteristics of a data set, inferential statistics help you come to conclusions and make predictions based on your data. When you have collected data from a sample, you can use inferential statistics to understand the larger population from which the sample is taken.

Detailed explanation-3: -The process of using sample statistics to make conclusions about population parameters is known as inferential statistics. In other words, data from a sample are used to make an inference about a population.

Detailed explanation-4: -Inferential statistics use measurements from the sample of subjects in the experiment to compare the treatment groups and make generalizations about the larger population of subjects. There are many types of inferential statistics and each is appropriate for a specific research design and sample characteristics.

Detailed explanation-5: -Inferential statistics allow you to use sample statistics to make conclusions about a population. However, to draw valid conclusions, you must use particular sampling techniques. These techniques help ensure that samples produce unbiased estimates.