Question

Select the appropriate response

	a)The bootstrap assumes that data is normally distributed
	b)The bootstrap is applicable for any distribution of independently identically distributed random samples
	c)The bootstrap is applicable only to large samples

Select the appropriate answer

	a)The bootstrap provides a procedure for estimating the uncertainty of parameter estimates
	b)The bootstrap provides a closed form formula for computing the uncertainty of any statistics
	c)The bootstrap provides an exact measure of uncertainty of distribution parameters

Select the appropriate answer

	a)The bootstrap is easy to program but would be hard to use without computers
	b)The bootsrap is hard to program
	c)The bootstrap has no theoretical justifications

What is one main limitation of the bootstrap?

:

	a)It requires the data to be sampled independently and identically
	b)It requires the data to be normally distributed
	c)It is difficult to program

Suppose I know that a data vector x is normally distributed. This vector represents a small sample (less then 20 measurements).
How would you calculate a confidence interval for the mean if you dont have access to a computer?

	a)I would use a bootstrap confidence interval
	b)I would use a t-confidence interval
	c)I would use a chi-square confidence interval

How many distinct bootstrap samples can you form which have exactly 2 copies of 5
3 copies of 2 and 0 copies of 1, 0 copies of 3 and 0 copies of 4?

	a)5!/(3!2!)
	b)10!/(5!3!)
	c)3!/(2!5!)

please answer all the questions! Thank you!

Answer 1

1) b is true

2) b is true

3)a is true

4)a is true

5) b is true( as confidence interval for mean is required, t distribution would be best to use. Without access to computer bootstrap is not feasible)

6)a is true