[pic] American InterContinental University 6600 Peachtree Dunwoody Rd. 500 Embassy Row Atlanta‚ GA 30328 MGT 600 BUSINESS RESEARCH FOR DECISION MAKING ASSIGNMENT: Assignment 5 SUBMITTED TO: DR. CRAIG GUSTIN SUBMITTED BY: Charity Major DATE: 7/25/2012 ************************************************************************************* CERTIFICATION OF AUTHORSHIP: I certify that I am the author of this paper and that any assistance I received in its preparation is fully
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METHODOLOGY * The analysis is done by using different methods of research techniques such as: * Defining the target population * Develop a sampling framework * Develop measurable targets related to sample * Identifying the sampling method as required * Determining the sample size * Implementing the sampling plan * Sampling and data collecting VENDOR EVALUATION PROCESS The successful vendor
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Preparing to Conduct Business Research: Part 3 RES/351 February 20‚ 2012 Age discrimination is existent. Older employees are defined as members of the “mature” generation (58 or more years old); younger employees are members of three generations—the Baby Boom (post World War II or 38 – 57 year olds)‚ Generation X (23 – 37 year olds)‚ and Generation Y (18 – 22 year olds). “The key to a company’s future success will be its adaptability – its capacity to deploy resources quickly to seize
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statistical universe implicit in the managements choice of the sample. 2.If the sample is to be drawn from the guest file‚describe the procedure you would adopt in each of the following sample designs: a)Simple random sampling b)Systematic sampling c)Stratified random sampling d)cluster sampling 3.Which one of these sample designs would you select and why? 4)Specify the nature of data that you would collect from the sample
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You wish to limit the risk of incorrect acceptance to 10%. It is your intention to seek positive confirmation of accounts included in your sample and to apply alternative procedures to accounts for which no reply is received. Required Compute the sample size. Compute the sampling interval. Assume the following misstatements were found in the sample: Sample Item Book Value Audit Value 1 $800 $0 2 1‚500 1‚350 3 13‚000 0 4 15‚000 14‚250 Calculate Projected misstatement. Allowance
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1. I gather a sample of ten from random sampling and I get the following set of numbers. Sample result |25.02 |34.58 |28.29 |38.75 |34.95 |33.16 |30.95 |40.23 |38.99 |37.69 | | The question that will be posed concerns using my sample average from the ten values I generated‚ assuming that indeed‚ (x = 36.5 with σx = 6.64 and the distribution is uniform. a. What is the probability of getting a sample average as low or even lower than the one we got from our sample of ten. [pic]
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CHAPTER 3 DESIGN AND PROCEDURE Research Design The study entitled “The level of Knowledge of Cigarette Smoker tricycle drivers of STOD (Pembo-Blueboz route) on sintax law and its relation to their Attitude towards Smoking” will use a quantitative approach. In which‚ according to Hammersley (1992)‚ quantitative approach is taken when people are trying to analyze information‚ collect survey data and perform analyses and many other functions and since the researchers will use survey questionnaires
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A point estimation is a sample statistic that gives a good guess about a population parameter. In the same way‚ a point estimate of the mean overpayment is simply a good guess about what the average overpayment for the population is. Investigating all 1‚000 claims and obtaining the overpayment amount for each would either be impractical‚ unfeasible or both. Thus‚ the auditor deems a sample size of 50 claims to be adequate and sufficiently representative of the entire population. The mean overpayment
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that could provide the needed information. Procedure Gathering Data Random sampling method was used in gathering the data. Students belong to the day and night programs were also considered to determine the appropriate sample size and a 5% margin of error was used. The sample was drawn
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is usually done as products leave the factory‚ or in some cases even within the factory. Most often a producer supplies a consumer a number of items and decision to accept or reject the lot is made by determining the number of defective items in a sample from the lot. The lot is accepted if the number of defects falls below where the acceptance number or otherwise the lot is rejected.[1] A wide variety of acceptance sampling plans are available. Contents 1 History 2 Rationale 3 Acceptance sampling
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