stream In probability sampling every member of the population has a known (non zero) probability of being included in the sample. << /Length 5 0 R /Filter /FlateDecode >> A multi-stage simple random sampling technique (24) was used to select the units (i.e. Look for those two particular x�ZK��F��W�Q�6���1Ā��a�J��H�,R;�~��~P�F� c`��U]U]o���E|J�F6�ѕ(j����ш_E/��4*�E���5��2�S���a�S-0�"��d��Z��nt�{��Pb�(�X~?/��똛�1��Mʈ�k�WMS���9�S��M!�����\ǜi�����hd�:+�.R}� ef��s�TT�˲��(�B*hK�T�ά�n���(�n�ql�Ͱc�Q��.N#�� �d����L�a#��o�O��9�o���V�RV*+��e=N޽�_.���me�d�ڄ��o�-SY�@&8y��f�V������ç����hIV2Ӆ��6�-���C��X,��ߪ��U;v�0:�U��v��M�I쎠7���?��p|:C���JN �!�T��� ~��b�o���k�oV��N�%�.5�,,�#_��X�n@$��n`��_H��&�P8`�42�|�2Ƞe���h6oD����N�\�w1zښ>.��]�N�s��u5���.���A��a?�nz3��(׭�F�E�����m�e���*Y�D]��IP�L,��|��Z���A�mb ��GgZd d o��� ��~c��ig͐�. Sampling is a method of collecting information which, if properly carried out, … Some form of random selection is used. 1 0 obj << /Type /Page /Parent 207 0 R /Resources 2 0 R /Contents 3 0 R /MediaBox [ 0 0 612 792 ] /CropBox [ 0 0 612 792 ] /Rotate 0 >> endobj 2 0 obj << /ProcSet [ /PDF /Text ] /Font << /TT2 225 0 R /TT4 218 0 R /TT6 220 0 R /TT7 246 0 R >> /ExtGState << /GS1 257 0 R >> /ColorSpace << /Cs5 227 0 R >> >> endobj 3 0 obj << /Length 5884 /Filter /FlateDecode >> stream Simple random sampling and systematic sampling provide the foundation for almost all of the more complex sampling designs based on probability sampling. They are also usually the easiest designs to implement. H��Wێ��}���G2�h��dޜul��]��!ȃF⌴�ĉ.��~l�%u�TS��@0���]]��˩�ߝ���t��ﴺ{�׏���t�޷����n�������Owo�P=��aH�{eЂc{���>�U�~�\�qi��9�zx�h��M �����.5C����WKY�M_���e;���EL]������v/w�+�R�tr9:9X�vyR�{���X,�/F ,[email protected]� ��I��(���Bq��6F������۱N^�b��v�"~:`�ޚe���o���QC?�/|#�γᆵ��|r`�k�:c �?�A�⤕���AvŜ$�o��p�Z��N�N���D�'�A��`k'lt�{�L��H��j\��+�>EU+�r)�A����3�x[C��f*뢝������#d$*�g�:�|5Q�C�,�}/��v{]*��׊�o���~�7t��B>�N�����OЬ��zY˶���J-. As such, it is an equal probability selection method (EPSEM). These two designs highlight a trade‐offs inherent in selecting a sampling design: to select Sampling Theory| Chapter 2 | Simple Random Sampling | Shalabh, IIT Kanpur Page 22 Such a process can be implemented through programming and using the discrete uniform distribution. (2) Memilih satuan sampling dalam kluster. A resulting sample is called a simple random sample or srs. Some form of random selection is used. Probability sampling is also called as random sampling or representative sampling. 2 Chapter 4: Simple random samples and their properties In every case, a sample is selected because it is impossible, inconvenient, slow, or uneconomical to enumerate the entire population. 4 0 obj With only one stratum, stratified random sampling reduces to simple random sampling. 7.3 Simple Random Sampling The most elementary form of sampling is simple random sampling (s.r.s. Simple Random Sampling 3.1 INTRODUCTION Everyone mentions simple random sampling, but few use this method for population-based surveys. simple random sampling. %PDF-1.3 each stratum. What Are the Steps in Selecting a Simple Rapid surveys are no exception, since they too use a more complex sampling scheme. The main reason is to learn the theory of sampling. ): Each particular sample of size n has the same probability of occurrence; that is, each of the N n possible samples of size n taken without replacement has the same probability. A multi-stage simple random sampling technique (24) was used to select the units (i.e. Thus if the population consists of N units, the probability of selecting any unit is 1/N. 2 Chapter 4: Simple random samples and their properties In every case, a sample is selected because it is impossible, inconvenient, slow, or uneconomical to enumerate the entire population. assume that a random sample was obtained just because the researcher used a random selection method at some point in the sampling process. Sampling is a method of collecting information which, if properly carried out, … Simple random sampling is a probability sampling procedure that gives every element in the target population, and each possible sample of a given size, an equal chance of being selected. Probability sampling is also called as random sampling or representative sampling. So why should we be concerned with simple random sampling? Jika pemilihan dilakukan lebih dari 2 kali disebut Multi-stage Cluster Sampling. Any number between 1 and N can be generated from this distribution, and the corresponding unit can be selected into the sample by associating an index with each sampling unit. Title: Methods in Sample Surveys Simple Random Sampling Lecture 2 Author: sahmed Created Date: 2/9/2009 4:29:12 PM In probability sampling every member of the population has a known (non zero) probability of being included in the sample. The population mean (μ) is estimated with: ()∑ = = + + + = L i N N NL L N Ni i N 1 1 1 2 2 1 1 μˆ μˆ μˆ L μˆ μˆ where N i is the total number of sample units in strata i, L is the number of strata, and N is the total Simple random sampling without replacement (srswor) of size nis the probability sampling design for which a xed number of nunits are selected from a population of N units without replacement such that every possible sample of nunits has equal probability of being selected. %��������� %PDF-1.3 %���� The sampling method is known as Simple Random Sampling (SRS). Misalnya dalam penelitian yang sama seperti di atas, karena Jawa Barat sangat luas, dipilihlah kabupaten/kota tertentu sebagai sampel klaster ke-1