Task 12. Load data from the I'The World Almanac and Book of Facts 1993" (0EF8_dataset.csv)". Task 13. Inspect the data by looking at the first few entries and the last few entries in the dataset. Use the function head() which shows the first N rows of the data frame. Use taill) function that shows the last N rows. You can also open the full dataset and check it out. Be sure to take note of the variables. They include information about the participant's country, life expectancy, num ber of people per television, num ber of people per physician, and then life expectancy for females and males. Task 14. State a null hypothesis and an alternative hypothesis about the correlation between life expectancy and the number of televisions per person. Task 15. Run a correlation test in R to test your hypothesis Task 16. Report the results here. Be sure to include the r-value, the p- value, and the 95% confidence interval. What can you conclude from your results? Do these results seem plausible to you? Task 17. State a null hypothesis and an alternative hypothesis about the correlation between life expectancy and the number of physicians per person. Task 18. Run a correlation test in R to test your hypothesis. Task 19. Report the results here. Be sure to include the r-value, the p- value, and the 95% confidence interval. What can you conclude from your results