Introduction to Statistics Through Resampling Methods and R, 2nd Edition

Answers to Selected Exercises

Exercise 2.11: One should always test R functions one has written by trying several combinations of inputs. Will your function work correctly if m > n? m < 0? Be sure to include solution messages such as

>  print("m must be less than or equal to n"); break

Exercise 2.13: 

Exercise 3.7: 

Exercise 3.14: 

Exercise 4.7: 

sales=c(754,708,652,783,682,778,665,799,693,825,828,674,792,723)
t.test(sales, conf.level=0.9)

Exercise 5.4: The results will have a binomial distribution with 20 trials; p will equal 0.6 under the primary hypothesis, while under the alternative p will equal 0.45.

Exercise 5.5: You may want to reread Chapter 2 if you had trouble with this exercise.

Exercise 8.2: 

> imp=c(2, 4, 0.5, 1, 5.7, 7, 1.5, 2.2) > log(imp) [1]  0.6931472  1.3862944 -0.6931472  0.0000000  1.7404662  1.9459101  0.4054651 [8]  0.7884574 > t.test(log(imp))       One Sample t-test data: log(imp) t = 2.4825, df = 7, p-value = 0.04206 alternative hypothesis: true mean is not equal to 0 95 percent confidence interval: 0.03718173 1.52946655 sample estimates: mean of x 0.7833241 ...