Use the data scientist dataset (aug_train) you used in R practice 2. Upload the Rmd and .html files (or R and Word/pdf files). In general, your statistical outputs should be titled and labeled so that they can stand on their own (and can be understood by anyone who looks at them for the first time).

1. Conduct a one-sample t-tests for mean using an appropriate variable from the data set (training hours). Use the t.test( ) in R. Provide the null and the alternative hypothesis for each test. Provide the test results and several sentences interpreting the results.
2. Conduct a two-sample t-test using a two categories in a single categorical variable and training hours (e.g., training hours for Graduate level education vs training hours for Masters level education) . Do this in R. Provide the null and the alternative hypothesis for each test. Provide the test results and several sentences interpreting the results.

Submit a report that examines parts 1 and 2 and your R script.