Week 5

Question 1

What is a hypothesis?

Answer 1

A statement about the value of a population parameter subject to verification.

Question 2

What is one sample testing?

Answer 2

Sample vs. Population

Question 3

What is two sample testing?

Answer 3

Sample vs. sample

Question 4

3 assumptions for 1ST?

Answer 4

Random sampling is used
Measurement level is interval or ratio
Sampling distribution is normal

Question 5

3 situations for one sample testing? (σ and n)

Answer 5

σ is known - z distribution

σ is unknown, n is large - z distribution

σ is unknown, n is small - t-distribution (use n-1 DofF)

Question 6

What can you never prove?

Answer 6

That the null hypothesis IS correct

Question 7

Equation for z-dist sample 1ST?

Answer 7

Z = (xbar - μ)/(σ/route n)

Question 8

Equation for t-dist. 1ST?

Answer 8

t = (xbar - μ)/(s/route n)

n-1 DofF

Question 9

3 assumptions for 2ST?

Answer 9

2 independent random variables
Measurement level is interval or ratio
Sampling dist. is normal

Question 10

How to select 2ST test statistic?

Answer 10

Same as one ST

If t distribution do n1 + n2 - 2 to find DofF

Question 11

Equations for 2ST for z-dist.?

Answer 11

Z = (xbar1 -xbar2)/A

A = route of Σ(σ^2/n + σ^2/n)

If only sample sd known, exactly the same but σ is replaced with s

Question 12

Equation for t-dist. for 2ST?

Answer 12

Dunno

Question 13

Way to interpret the results of a 2ST further?

Answer 13

Check z for one tail dist. too

Question 14

What is a type 1 error?

Answer 14

Error of incorrectly rejecting a H0 that is actually true (use smaller α)

Question 15

What is a type 2 error?

Answer 15

Error of failing to reject a H0 that is actually false (use larger α)