Question

A teacher is experimenting with a new computer-based instruction and conducts a study to test its effectiveness. In which situation could the teacher use a hypothesis test for matched pairs?
The teacher gives each student in the class a pretest. Then she teaches a lesson using a computer program. Afterwards, she gives each student a post-test. The teacher wants to see if the difference in scores will show an improvement.
The teacher randomly divides the class into two groups. One of the groups receives computer-based instruction. The other group receives traditional instruction without computers. After instruction, each student takes a test and the teacher wants to compare the performance of the two groups.
The teacher uses a combination of traditional methods and computer-based instruction. She asks students which they liked better. She wants to determine if the majority prefer the computer-based instruction.

Answer 1

Answer:

The teacher gives each student in the class a pretest. Then she teaches a lesson using a computer program. Afterwards, she gives each student a post-test. The teacher wants to see if the difference in scores will show an improvement.

Step-by-step explanation:

In hypothesis testing, there is  a premise or a claim where an analyst want to test or to investigate in an experiment. In this study, different sampling methods are being carried out.

In hypothesis testing, we usually have the null hypothesis and the alternative hypothesis.

The null hypothesis is an established hypothesis which is usually denoted by $H_o$ and it is a currently accepted value or default  for a parameter.

On the other hand the alternative hypothesis or the research hypothesis denoted by $H_a$ came into place to challenge the study to be tested.

In the given question , the teacher wants to see the difference in the outcome of the test scores if there will be an improvement.  The same is true for hypothesis testing, we tends to see the difference in the test statistics result maybe it is significant or not  in order to determine the conclusion on the null hypothesis.