acca f2考试考什么呢?小编给大家整理了关于f2科目的常考知识点。快来看一看吧!
1. Types of data
Primary data---data collected especially for a specific purpose.
Secondary data---data have already been collected elsewhere,for some other purpose.
Discrete data(离散数据)---are data which can only taken on a finite or countable number of value within a given range.e.g 0,1,2,3,4
Continuous data---are data which can taken on any value.e.g 1.542, 1.639,1.492
2. Sampling methods
2.1 Probability sampling method(概率抽样法)
ü Random sampling
ü Stratified random sampling(分层随机抽样)
ü Systematic sampling(系统抽样)
ü Multistage sampling(多级抽样)
ü Cluster sampling(分组抽样)
Simple random sampling--is a sample selected in such a way that every item in the population has an equal chance of being included.
Characteristics of simple random sampling:
ü No bias ,every item has an equal chance of being included.
ü An unrepresentative sample may result.
Stratified random sampling--is a method of sampling which involves dividing the population into strata or categories. Random samples are then taken from each stratum or category.
Advantage | disadvantage |
The sample selected will be representative | It requires prior knowledge of each item in the population |
advantages | disadvantages |
It is easy to use | It is possible that a biased sample (偏置抽样)might be chosen if there is a regular pattern to the population which coincides with the sampling method |
It is cheap | Some items have a zero chance of being |
Multistage sampling--is a probability sampling method which involves dividing the population into a number of sub-population and then selecting a small sample of these sub-population at random.
advantages | disadvantages |
Fewer investigators are needed | Possibility of bias |
It is not so costly to obtain a sample | Not truly random |
Cluster sampling--is a non-random sampling method that involves selecting one definable subsection of the population as the sample. that subsection taken to be representative of the population in question.
2.2 Non-probability sampling method--is a sampling method in which the chance of each member of the population appearing in the sample is not known.
Quota sampling(定额抽样)--investigators are told to interview all the people they meet up to a certain quota.