Determining sample size

Studies suggest a high prevalence of pain in head and neck cancer (HNC) patients at diagnosis, during and after treatment; However, these studies had small sample sizes and did not comprehensively assess factors known to influence pain. We surveyed a large cohort of HNC survivors to determine variations in the prevalence of pain, its treatment and management by duration of survivorship, and assessed a comprehensive list of risk factors.

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The catalyst 7.5% NiO/TiO2 and seven samples of NiO/γ-Al2O3 with NiO content from 7.5% to 60% have been obtained and studied. Physico-chemical characteristics of the catalysts were determined by methods of Adsorption (BET), X-ray Diffraction (XRD), TemperatureProgrammed Reduction (TPR) and Hydrogen Pulse Titration. The catalytic properties of the obtained samples were investigated in the reaction of CO methanation at temperatures 180 – 220◦C and mole ratios hydrogen/carbon monoxide 25-100.

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Chapter 8 - Confidence intervals. After mastering the material in this chapter, you will be able to: Calculate and interpret a z-based confidence interval for a population mean when σ is known, describe the properties of the t distribution and use a t table, calculate and interpret a t-based confidence interval for a population mean when σ is unknown,...

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Chapter 9 - Hypothesis testing. After mastering the material in this chapter, you will be able to: Set Up appropriate null and alternative hypotheses, describe Type I and Type II errors and their probabilities, use critical values and p-values to perform a z test about a population mean when s is known,...

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In this chapter, students will be able to: Learn the financial and statistical issues in the determination of sample size, discover the methods for determining sample size, gain an appreciation of a normal distribution, understand population, sample, and sampling distribution, distinguish between point and interval estimates, recognize problems involving sampling means and proportions.

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Al-MSU mesoporous materials were successfully synthesized by hydrothermal treatment using water glass as a Si-sources. The obtained samples were characterized by different techniques such as x-ray diffraction (XRD), infrared resonance (IR) and transmission electron microscopy (TEM). The specific surface area (SBET) and mesopore volume, pore size distribution were determined by BET method. The results showed that the Al-MSU mesoporous materials were hexagonal p6mm structure.

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