##### week 5 DQ3

*label*Statistics

*account_circle*Unassigned

*schedule*1 Day

*account_balance_wallet*$5

**In what way has the learning from this course helped you to effectively test hypothesis, draw conclusions, and provide recommendations to management for resolving the problem taken for study? Consider what you have actually achieved in the research study. **

Thank you for the opportunity to help you with your question!

**In a research
study, the most effective ways to solve a problem is to form the hypothesis and
test it. Here the the steps to effectively form a hypothesis and test it for
validity.**

**1.
**Identify the null hypothesis for both
one-tailed and two-tailed tests. The null hypothesis is a parameter equals zero
although there are exceptions. A null hypothesis is u1-u2 =0 or u1= u2. For a one tailed test , the null hypothesis
is either a parameter is greater than or equal to zero.

**2.
**The second step is to specify the α level
that is known as the significance level. The values are 0.05 and 0.01.

**3.
**The third step is to compute the probability
value ( p-value). The p-value is the probability of obtaining a sample
statistic as different or more different from parameter specified in the null
hypothesis given that the null hypothesis is true.

**4.
**The last step is to compare the probability
value with the α level. If the
probability value is lower than the α level, then you reject the null
hypothesis. The lower the probability
value ( p-value), the more confidence you will have that the null hypothesis is
false. If your p-value is higher than
the conventional α level of 0.05, then most scholars will consider your
findings inconclusive. For example, if the p-value is 0.005, this
p-value is lower than your α level of 0.05. Therefore, you would reject the
null hypothesis, and is more confidence that the null hypothesis is false. If you fail to reject the null hypothesis ,
that does not mean that you will support for the null hypothesis. It just means that you do not have
sufficiently strong data to reject it.

Simply, to make the right decision, you need to form the null hypothesis and alternate hypothesis. If your p-value is smaller than the α level, then you reject the null hypothesis and accept the alternate hypothesis. If the p-value is greater than 0.05 α level, then you do not reject the null hypothesis.

Please let me know if you need any clarification. I'm always happy to answer your questions.

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