Chapter 2 Flashcards

0
Q

What are statistics used for?

A

To make inferences about unknown population parameters.

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

What are inferences?

A

estimates or decisions

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

Why are all statistics random variables?

A

Because all statistics are functions of random variables observed in a sample

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

What is the test concerning B_1, the slope of the regression line.

A

H_0: B_1 = 0 (there is no linear association between Y and X)
H_1: B_0 not equal 0

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

Why is the probability distribution of Y identical when B_1 = 0?

A

Since (in the model) all probability distributions of Y are normal with constant variance

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

What is the sampling distribution of b_1?

A

The sampling distribution of b_1 refers to the different values of b_1 that would be obtained with repeated sampling when the levels of the predictor variable X are held constant from sample to sample.

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

What is E[b_1] and V[b_1] for a normal regression model where the sampling distribution of b_1 is normal, with mean and variance…

A
E[b_1]= B_1
V[b_1]= ((sigma)^2)/ Sum(X_i - Xbar)^2
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

T/F: b_1 is not a linear combination of the Y_i

A

F: “The normality of the sampling distribution of b_1 follows at once from the fact that b_1 is a linear combination of the Y_i.

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