Sample Estimates Flashcards

1
Q

What can cause uncertainty about the sample mean?

A

Variability in wider population
Sample size used to calculate sample mean
Distributional shape of wider population

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

What two types of distribution are used to describe the shape of a histogram?

A

Normal and t

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

What shape is the normal distribution?

A

Bell shaped

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

What defines the normal distribution?

A

Mean (μ)

Variance (σ^2)

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

What is the name for the equation for the normal distribution?

A

Probability Density Function

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

What do mean and variance equal if there is a standard normal distribution?

A

Mean (μ) is 0

Variance (σ) is 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is standardisation?

A

Transforming a normal distribution to a standard normal by converting the normal random variable X to standard units

Z = (X-μ)/σ

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

How is the t-distribution indexed?

A

Number of observation - 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What happens to the shape of the t-distribution if the sample size is small?

A

It has heavier tails compared to the normal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

When is the t-distribution used instead of the normal?

A

Normal relies on the knowledge of σ^2 (population variance) so as we have to often estimate σ^2 from sample, t-distribution is used

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is standard error?

A

The standard deviation of a sampling distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What does a large standard error indicate?

A

Lots of variability between means of different samples so sample may not be representative of population (low precision)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What does a small standard error indicate?

A

Most means are similar to population mean so sample likely to be close reflection of the population (high precision)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

How would you find the standard error of the sample mean?

A

Found using the standard deviation of the sample, s, and sample size, n.

s/sqrt(n)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is the confidence interval?

A

The range of values (found using the t-distribution) for the true mean within which we are confident that the true parameter value lies

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What do you need to build a confidence interval?

A

Choose how confident we want to be that the confidence interval contains the true mean
Know how uncertain our estimate is (standard error of mean)