LEARN MORE...

Home
Documents
February 2012
3
Res 342 Week 1 DQ 1

Res 342 Week 1 DQ 1

Content type

User Generated

Type

Homework

Uploaded By

flrqfununo

Pages

Showing Page:

1/2

Week 1 DQ 1: Why do a null and alternative hypothesis have to be mutually

exclusive? In hypothesis testing, why are verbal problem statements converted to

numerical problem statements? Can you accept and reject the null hypothesis? Why

or why not?

The null and alternative hypothesis has been mutually exclusive because if you are

trying to disprove the null hypothesis, this means the hypothesis are not mutually

exclusive. Even though the null and alternative hypothesis possesses mutually similarities the

alternative exclusively disproves and rejects the null by a different predictive result. The reason

for this is due the difference that may have caused the null sampling error. Another thing is that

the logic of traditional hypothesis testing it requires you set up two competing statements or

hypothesis that refer to as the null hypothesis and alternative hypothesis. This is where you

find that these hypothesis are mutually exclusive and exhaustive.

Example below:

: The finding occurred by chance

: The finding did not occur by chance

In most cases, the null hypothesis is then assumed to be true unless evidence is found

whereas to the contrary, however, if found that the evidence is just too unlikely given then the

null hypothesis is where we assume the alternative hypothesis is more likely to be correct. So

in this case, the traditional statistics show that a probability of something occurring of less

than.05 (= 5% = 1 chance in 20) is conventionally considered "unlikely". Another thing there

are two types of statistical hypothesis and they include: Null hypothesis – The null hypothesis

denotes by Ho, which is usually the hypoth observations result purely from chance, however,

with alternative hypothesis it denoted by H1, or Ha, that the sample observations are influenced

by some non-random cause.

In hypothesis testing, verbal problem statements are converted to numerical problem

statements because when considering the hypothesis as a trail against the null hypothesis, the

data can be evidence against the mean. Another thing hypothesis testing is undoubtedly one

of the most widely quantitative methodologies in empirical research in social science and it is

also has the starting point of hypothesis testing where it is specifies the hypothesis to be tested

and called the null hypothesis. In other words most of the time in hypothesis testing the null

hypothesis is tested. Accepting or rejecting the null hypothesis I would have to say no. The

reason being is when the data analysis suggests that we reject the null hypothesis. It also

states the sample statistics is sufficiently different from the assumed value of the population

that is unlikely to be explained chance. Also, you never except the null hypothesis. However,

you can either reject or fail to reject it and the data can only provide evidence against the null

Showing Page:

2/2

Unformatted Attachment Preview

Week 1 DQ 1: Why do a null and alternative hypothesis have to be mutually exclusive????In hypothesis testing, why are verbal problem statements converted to numerical problem statements???Can you accept and reject the null hypothesis? Why or why not? The null and alternative hypothesis has been mutually exclusive because if you are trying to disprove the null hypothesis, this means the hypothesis are not mutually exclusive.??Even though the null and alternative hypothesis possesses mutually similarities the alternative exclusively disproves and rejects the null by a different predictive resu ...
Purchase document to see full attachment