Review for important Steps in Hypothesis Tests. 1. Set up Ho and Ha, where Ha is usually the research hypothesis. 2. Choose an a, called significance level, which is customarily set as 5%. a=5% mea

Review for important Steps in Hypothesis Tests. 

1. Set up Ho and Ha, where Ha is usually the research hypothesis. 

2. Choose an a, called significance level, which is customarily set as 5%. 

a=5% means that you allow yourself up to 5% of chance of making a wrong decision by rejecting Ho. 

3. Calculate test statistics. This step can be done by SPSS or other software. 

4. Find P-value of your Test. 

You may need to adjust the figure from the output if it is done by SPSS. 

P-value is the sampling chance of making a wrong decision by rejecting Ho. 

5. Make a decision. Universal Decision Rule for hypothesis tests: 

If P < a, reject Ho. If P > a, fail to reject Ho. 

6. Interpret your conclusion. 

Rejecting Ho means you can conclude that the research hypothesis is true. 

Fail to reject Ho means we don’t have enough evidence to prove that Ha is true

1) Find a (or multiple) data set online 

2) Form your research questions 

3) Using statistical software to analyze the data and answer your research questions. 

4) Need to do all five type of problems, namely, Chi-square; independent-samples t test; paired-samples t; ANOVA and Regression. (All except t tests have to have a small p-value.) 

5) Summarize each problem by mention the link of online data, list all important part of the procedure used and include outputs as attachment or insert it into the report. datalink you can use http://www.stat.ufl.edu/~winner/datasets.html