**Question Description**

For this week’s discussion, why do you think hypothesis testing

is important in statistics? In your response, please connect your

comments to the concept of null and alternative hypotheses and describe

what these mean. Your initial response to the Discussion topic should be

a minimum of 200 words. You should also provide at least two responses

to your classmates that should be a minimum of 100 words. In your peer

replies, you are encouraged to challenge responses to promote critical

thinking on all sides of a discussion.

**Classmate Post #1**

Hypothesis

testing is the process of using statistics to determine the probability

that a specific hypothesis is true. It’s an essential procedure in

statistics. A hypothesis test evaluates two mutually exclusive

statements about a population to determine which statement is best

supported by the sample data. A hypothesis predicts the relationship

between two variables. Hypothesis testing is common in statistics as a

method of making decisions using data. In other words, testing a

hypothesis is trying to determine if your observation of some phenomenon

is likely to have really occurred based on statistics. This test

normally comes from a statistical standpoint. The null hypothesis always

states that the population parameter is equal to the claimed value. The

alternative hypothesis should be decided upon before collecting or

looking at any data, so as not to influence the results.

Reference:

Dubois, S. (2017). The Importance of Hypothesis *Test Classroom.* Retrieved fromhttps://classroom.synonym.com/importance-hypothesis-testing-12094529.html

**Classmate Post #2**

Hello,

Hypothesis testing is important in statistics because it helps to draw

conclusions and make decisions about the nature of populations. It is

proof that your data is significant and didn’t occur by chance. A

conclusion is determined by examining a sample of a population. A

decision is made based on the tests between two hypotheses. Two

exclusive statements are made about the population and the test

determines which statement supports the data. The hypothesis or

conclusion about the population can have two outcomes. On one end you

have a null hypothesis and then the alternative hypothesis.

When

testing a hypothesis you form your opinion on what you think is

occurring in the population to validate that one group is different from

the other. Your conclusion can either be a null hypothesis or an

alternative hypothesis. A null hypothesis states that nothing happened

or there wasn’t any differences noted or no cause and effect. The

alternative hypothesis, which states that something happened and there

are differences. With hypothesis testing, you are trying to prove that

there was a change and you are trying to disprove the null hypothesis.

Reference:

The Importance of Hypothesis Testing. (n.d) Retrieved from https://classroom.synonym.com/importance-hypothesis-testing-12094529.html

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