. Develop a research hypothesis to use in a one-sided two-sample test of population averages concerning age, height, or family size. To do so, consider how an event such as a World War, famine, or the shifts in immigration policy in 1920's could produce a change in who immigrates and when.

(Note: if you want to use family size, please see me during office hours, soon, as you will need a somewhat different approach.)

B2. Create a data set consisting of two different samples drawn from immigration data. Use sample sizes between 5 and 70. Show details of the sourcing and context. Show and use images of the manifests of the ships. Explain what you are doing as you go.

B3. State the null hypotheses in words that apply to the particular topic you are addressing. Define the populations you are referencing, their approximate sizes, and how the population averages would (in principle) be computed.

B4. Perform a one-sided, two-sample t-test. Explain what the software is doing on each line of the table of output. In particular, name the sample statistics that are computed and explain how those are connected with population parameters.

B5. Show the graph of the test with all features shown and labeled.

B6. State the conclusion of the test and the grounds. Explain the reasoning behind the conclusion.

B7. All serious studies are preceded by a small trial run to look for problems, including lack of clarity in definitions, problems in acquiring data, or a mismatch in what is measured. Thinking of your study as a trial run for a larger study, what problems did you encounter and what changes would you make?