Identify a problem in the form of a parameter you want to compare between two samples. Choose if you want to compare two samples means, variances, proportions, or if you want to compare two dependent or independent samples. Collect real values to present your data. Below are the tasks you need to present. Complete this part by using the same sequence indicated below. Add your own short title to each one of the 11 tasks below, be organized.

1. Clearly explain the problem (it must be a real problem).
2. What is the nature of the two samples you collected to address the problem? Explain.
3. What sampling method you used to collect your data? Clearly explain the method used (how you did it).
4. Indicate your sample size.
5. Is the data described by the mean and standard deviation, or by proportion? Present the values.
6. Clearly state null and alternative hypotheses. Then present your two hypothesis, for example: Ho: 1 = 2, Ha: 1 2
7. Choose an alpha () value for your test and find its corresponding critical value. Describe if your test is left-tailed, right-tailed, or two-tailed, z or t test.
8. Find test value (z test, t test or Chi-square test). Use the formulas given in class.
9. Using test value, find and present your P-value.
10. Explain if hypothesis testing analysis allowed you to reject your null hypothesis, or if you failed to reject null hypothesis.
11. Summarize the results.

Remember to present your R Codes.

Also include the data set table/sample taken.