MOUTHWASH Submitted by: Ronnel S. Pinote I- INTRODUCTION A. Background of the... Premium How To Make Investigatory Project Make An Investigatory Project Sample Format: # Abstract After finishing the research and experimentation‚ you are required to write a (maximum) 250-word... Premium Science Investigatory Project using the t-test for dependent sample means. For subproblem 3‚ the effect of using the science investigatory project was analyzed through the application... Premium Investigatory Project
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Sample size The process of determining the proper sample size was established through a series of calculations and after obtaining all the possible sample sizes‚ the largest one was taken into consideration to collect the closest number to a representative sample of the population. The following two equations where used: Equation 1: N=z2 *(p.q) E2 N= sample size Z=level of confidence interval at 95% so z=1.96 P=estimated percent of population E=acceptable sample error expressed
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statistics‚ a sample is a subset of a population. Typically‚ the population is very large‚ making a census or a complete enumeration of all the values in the population impractical or impossible. The sample represents a subset of manageable size. Samples are collected and statistics are calculated from the samples so that one can make inferences or extrapolations from the sample to the population. This process of collecting information from a sample is referred to as sampling. A complete sample is a set
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the vendor is able to acknowledge the material in question. Exception: If the product is a high priority/time sensitive item the requisitioner may get the quote for the buyer. Step 3: The buyer sends his PO to the vendor and requests an acknowledgment within 24h. Step 4: The material a received on the delivery date and the warehouse creates a GR. The vendor now sends his invoice to AP where they will crosscheck the GR. Any issues in this process will
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Calculating Sample Size Types of Samples Subjective or Convenience Sample - Has some possibility of bias - Cannot usually say it is representative - Selection made by ease of collection Simple Random Sample - No subjective bias - Equal chance of selection; e.g.‚ select the fifth chart seen on every third day - Can usually be backed to say it is representative Systematic Sample - Is a random sample - Equal chance of selection due to methodology; e.g.‚ computer-generated list of
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Acknowledgement The satisfaction and euphoria that accompany the successful completion of any task would be incomplete without the people who made it possible‚ whose constant guidance and encouragement crowned our efforts with success. My primary thanks goes to Almighty Allah by whose Blessing I have completed my report in the given time. I would like to thank Prof. Zain Ul Abideen Valika for his patience‚ guidance and encouragement in successful completion of this report . Finally‚ I would
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Determining Sample Size In the business world‚ sample sizes are determined prior to data collection to ensure that the confidence interval is narrow enough to be useful in making decisions. Determining the proper sample size is a complicated procedure‚ subject to the constraints of budget‚ time‚ and the amount of acceptable sampling error. If you want to estimate the mean dollar amount of the sales invoices‚ you must determine in advance how large a sampling error to allow in estimating the population
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Troubleshooting Tips I Cannot Capture the Four-way Handshake! It can sometimes be tricky to capture the four-way handshake. Here are some troubleshooting tips to address this: Your monitor card must be in the same mode as the both the client and Access Point. So‚ for example‚ if your card was in “B” mode and the client/AP were using “G” mode‚ then you would not capture the handshake. This is especially important for new APs and clients which may be “turbo” mode and/or other new standards
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RELIABILITY‚ VALIDITY AND REPRESENTATIVE SAMPLE IN RESEARCH John and Webb (2002‚ p.148) distinguishes between validity and reliability‚ arguing that the first one is the extent to which a research is capable of measuring what it is supposed to be measuring and the second one is the extent to which a research delivers consistent results. Validity and reliability measurement instruments are free of bias and random error. Haynes and Heiby (2004‚ p.47) propose some questions addressing sampling adequacy
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matter how extensive is always incomplete and inadequate. These acknowledgements are no exception. Our first acknowledge goes to the almighty Allah for bestowing us the patience and courage to finish this huge task within its deadline. Acknowledgments must go to the team members‚ whose unflagging patience and astounding capacity for creative work‚ and long hours made the project both possible and successful – under the pressure of knocking deadline. In addition‚ thanks to the employees and
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