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# 急 急20點---有誰可以幫我中翻英(不可以用翻譯軟體)感激

【抽樣sampling定義】

*請不要用翻譯系統謝謝!

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[Sample sampling is defined ]

Utilize the appropriate method to take out limitedly from mother's colony (partially) Individual, is it for observe or research object that measure actually, come inference estimate characteristic, mother of colony by this to do. Purpose its in ' obtain proper size, and representative sample '.

Simple random sampling (Simple Random Sampling)

You have lists of a piece of parent, then pluck one by one from this list directly in way at random. The advantage is: Easily understood. The shortcoming is: Generally speaking, you can not have such a list, so can not carry out the simple random sampling at all.

Divide one layer of random samplings (Stratified Random Sampling)

A pair of parent, according to a certain characteristic first (such as sex, age level, area,etc.) Go to hive off, then take interviewees out at random in each one. Advantage: Can guarantee every kind of state in this kind of characteristic (such as man and women) There are interviewees. Shortcoming: If the characteristic used for dividing layer becomes with what has been investigated or measured between one while having no relation, perhaps the investigation result will have greater errors. (That is to say, hive off group after make a variation too big, will is it sample error of the result heavy to cause)

2007-12-16 12:05:26 補充：

Sample in cluster (Cluster Sampling)

A pair of parent, according to a certain characteristic (for example class, is it set to gather,etc.) Hive off, then take some one group or some several groups out,

2007-12-16 12:05:37 補充：

visit or measure to the body of these groups of observations inside. Advantage: Reduce and carry out the cost (traffic cost) ,Generally speaking will be faster too.

2007-12-16 12:05:55 補充：

Shortcoming: Apt to present the cluster result, if observation body in the same group is too similar, there are greater errors in the result investigated.

2007-12-16 12:06:01 補充：

(That is to say, hive off group after make a variation big, between-group variation heavy what of every, investigate or it is apter to have greater errors to measure the result)

Source(s): 自己