Preliminaries Flashcards

(6 cards)

1
Q

Define a p-value

A

A p-value is defined as the probability that you observe a test statistic as extreme (or more extreme) than the one you observed, given that the null hypothesis is true.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Describe a one-sample t test

A

There is a single sample and we want to test whether or not the population mean µ = some specified number k

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Describe a two-sample t test

A

There are two samples from independent populations. We are testing whether or not they have the same population mean

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

State the assumption necessary for a two-sample t test

A

We assume the two samples come from normal distributions, have the same variance and all observations are independent.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

State the assumption necessary for a one-sample t test

A

We assume the sample comes from a normal distribution and all observations are independent

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Briefly describe what a small p value gives evidence for

A

A small p value gives evidence against the null hypothesis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly