S2 Definitions Flashcards

1
Q

When do you use a Binomial Distribution?

A
  1. When there a fixed number of trials
  2. Each trial must be success or failure
  3. The trials must be independent
  4. The probability of success is constant
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

When do you use a Poisson Distribution?

A
  1. When the event occurs singling in time
  2. the events must be independent of each other
  3. the event must occur at a constant rate in the sense that the mean number of occurrences in the interval is proportional to the length of the interval.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

When is it suitable to approximate poisson by normal?

A
  1. when the parameter is greater then 10
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

When can you approximate binomial by normal?

A
  1. When the number of trials is large and p is close to 0.5
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

When can you approximate Binomial by Poisson?

A

When the number of trials is large and the probability is small,
and when np is less then or equal to 10.

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

Population

A

this is a collection of individual items

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

sample

A

a sample is a selection of individual members or items from a population

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

a finite population

A

a finite population is one in which each individual member can be given a number

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

an infinite population

A

an infinite population is one in which it is impossible to number each member

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

Sampling unit

A

a sampling unit is an individual member of a population

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

sampling frame

A

this is a list of the sampling units used in practice to represent a population

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

statistic

A

this is a quantity calculated solely from the observations in a sample

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

Sampling distribution

A

a statistic has a sampling distribution that is defined by giving all possible values of the statistic and probability of each occurring

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

Census

A

a survey of the entire population

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

advantages of a census

A
  1. every single member of the population is used
  2. it is unbiased
  3. it gives an accurate answer
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

disadvantages of a census

A
  1. it takes a long time to do
  2. it is costly
  3. it is often difficult to ensure that the whole population is surveyed
17
Q

advantages of sampling

A
  1. cheaper than a census
  2. better when testing items results in their destruction
  3. data is usually for readily available
18
Q

disadvantages of sampling

A
  1. uncertainty, as there will be a natural variation between samples
  2. the sample may not be representative of the population and therefore will be biased,
    bias occurs if a person has personal feelings about the topic being surveyed, or a greater interest in it then the average person.
19
Q

What is the actual significance?

A

The probability of rejecting the null hypothesis