SAMPLING TECHINIQUE PROBABILITY SAMPLING Having chosen a suitable sampling frame and established the actual sample size required‚ you need to select the most appropriate sampling technique to obtain a representative sample. The basic principle of probability sampling is that elements are randomly selected in a population. This ensures that bias is avoided in the identification of the elements. It is an efficient method of selecting elements which may have varied characteristics‚ as the process
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THE USE OF CLUSTER SAMPLING TO SELECT A REPRESENTATIVE SAMPLE: STUDENT RECRUITMENT MARKETING IN SOUTH AFRICA – AN EXPLORATORY STUDY INTO THE ADOPTION OF A RELATIONSHIP ORIENTATION Submitted by: Tutorial group: Due date: 14 September 2013 TABLE OF CONTENTS 1 INTRODUCTION 1 2 CLUSTER SAMPLING 2 2.1 ADVANTAGES OF CLUSTER SAMPLING 3 2.2 DISADVANTAGES OF CLUSTER SAMPLING 3 3 USE OF CLUSTER SAMPLING IN A RECENT MARKETING RESEARCH STUDY 3 3.1 ADVANTAGES OF
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Acceptance Sampling Acceptance sampling has traditionally been a partner of statistical process control and control charts in the area of statistical quality control. Products are shipped around in batches or lots‚ and the idea behind acceptance sampling is that a batch can be declared to be satisfactory or unsatisfactory on the basis of the number of defective items found within a random sample of items from the batch. Thus acceptance sampling provides a general check on the “quality” of the items
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Work sampling is a systematic assessment effort across early childhood programs for children three years of age through the sixth grade. In Pennsylvania work sampling is used in PA PreK Counts‚ Infant/toddler and preschool early intervention‚ star 3 and 4 childcare centers and more. Assessments that are gathered are used to answer questions about children’s learning‚ knowledge‚ progress‚ skills and interests. There are many different types of assessments such as; screening tools‚ diagnostic tests
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Receivable balances for Key West Company as of 20X1. Our team has already completed a thorough evaluation of the company’s internal control and we believe they are excellent. Therefore‚ the team has decided to use the Probability-proportionate-to-size sampling theory‚ (PPS). We have used PPS to find the evidence required to prove there has been no materially misstatement in Key West Company’s accounts receivable accounts. The financial cycle is the cycles of business transactions‚ which involve the processing
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standard error of your estimate? What is the sampling population for this study? Do you think this sampling procedure results in a representative sample of households with children? Why‚ or why not? Solution: This is a cluster sample because all the elements within the clusters are selected. (Example: All parents who attended selected clinics in the Chicago). The primary sampling unit (psu): Clinics in the Chicago. The secondary sampling unit (ssu): Households with guns (parents who
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Sampling distribution The sampling distribution is the distribution of the values of a sample statistic computed for each possible sample that could be drawn from the target population under a specified sampling plan. Because many different samples could be drawn from a population of elements‚ the sample statistics derived from any one sample will likely not equal the population parameters. As a result‚ the sampling distribution supplies an approximation of the true value’s population parameters
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with busy shoppers‚ jingle bells‚ colorful lights and Santa Claus‚ Christmas is thought by many people to be "the most wonderful time of the year". Winter‚ snow‚ Christmas tree‚ decorations and Santa Claus are very important things which makes us think that it is the most beautiful day of all the year. Everybody waits for Christmas‚ because that day has varies meaning for different people. But for kids‚ rather than shoppers‚ colorful lights‚ Santa Claus is their main reason why they count the days till
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MULTIPHASE SAMPLING Multiphase sampling is one of the probability sampling techniques that usually consist of two or more of both probability and non-probability techniques in choosing the target sample The researchers will going to use purposive sampling in the first step On the other hand‚ the researchers will use cluster sampling technique‚ a probability sampling technique to randomize the population. Simple randomization sampling can be done using fish bowl method to get the names of the
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other. In small populations such sampling is typically done "without replacement"‚ i.e.‚ one deliberately avoids choosing any member of the population more than once. Although simple random sampling can be conducted with replacement instead‚ this is less common and would normally be described more fully as simple random sampling with replacement. Conceptually‚ simple random sampling is the simplest of the probability sampling techniques. It requires a complete sampling frame‚ which may not be available
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