HOMEWORK 2 FROM CHAPTER 6 and 7‚ NORMAL DISTRIBUTION AND SAMPLING Instructor: Asiye Aydilek PART 1- Multiple Choice Questions ____ 1. For the standard normal probability distribution‚ the area to the left of the mean is a. –0.5 c. any value between 0 to 1 b. 0.5 d. 1 Answer: B The total area under the curve is 1. The area on the left is the half of 1 which is 0.5. ____ 2. Which of the following is not a characteristic of the normal probability distribution? a. The mean and median
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Omkar & Yaying Wednesday 5-6pm WEEK 3 BES PASS Descriptive Statistics Population - a set of all possible observations. Sample - a portion of a population. We often use information concerning a sample to make an inference (conclusion) about the population. Parameter - describes a characteristic of the population‚ eg: the population variance Statistic- describes a characteristic of a sample‚ eg: the sample variance Frequency Distribution and Histograms Class - a collection of
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…‚ n xij ≥ 0 ‚ for all i and j The feasible solutions property: A transportation problem will have feasible m solution if and only if n ∑s = ∑d i =1 i j =1 j . Integer solution property: For transportation problems where every si and dj has an integer value‚ all the basic variables in every basic feasible solution (including an optimal one) also have integer values. We will discuss the reasoning after introducing the solution algorithm. Another example (production
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purpose of this memo is to describe the sampling process and illustrate how sampling can be used during an audit. This memo will begin by defining what sampling is‚ when it should be used‚ and the risks associated with it. The memo will then continue to describe the basic steps involved with sampling‚ define terms within those steps‚ and describe the use of sampling in the audit by identifying two situations in which sampling is used in an audit. Sampling is the objective of which is to make a statement
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Objective 4. The objective of the auditor when using audit sampling is to provide a reasonable basis for the auditor to draw conclusions about the population from which the sample is selected. Definitions 5. For purposes of the PSAs‚ the following terms have the meanings attributed below: (a) Audit sampling (sampling) – The application of audit procedures to less than 100% of items within a population of audit relevance such that all sampling units have a chance of selection in order to provide the
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Sampling and Data collecting Plan October 9‚ 2014 University of Phoenix QNT/561 Team D has chosen to look into whether or not should Pear Inc. should start putting their resources into either Laptops or tablet electronic devices. Putting resources into a venture that may or not pan out could be detrimental to that same company. As an example; Kodak and their choice not to expand into digital‚ something they created‚ and stay the course with their polyurethane film (Mui‚ 2012).In the end the
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Polytechnic University of the Philippines College of Economics‚ Finance and Politics DEPARTMENT OF BANKING AND FINANCE Sta. Mesa‚ Manila SAMPLING TEACHNIQUES and DATA ANALYSIS Submitted by: Jayson A. Enabia Rechelle Ann V. Elon Lobelyne Elago Monica Mae R. Flores April Mariz Francisco BBF 4-10n TABLE OF CONTENTS Introduction 1 Methods of Collecting Data Interview method 1 Questionnaire Method 2 Empirical Observation
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Sampling and Data Collection in Research Paper Sampling and data collection is made up of many things and is used in many things. The one main thing is research and in research it helps to obtain information about groups or individuals without being bias. Along with the research‚ making sure that it is valid and reliable is very important and knowing the ways that research can be done surveys via online or telephone. The purpose of sampling is that if a researcher
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(109925 – (807^2/6)/6-1 = (109925 – 108541)/5 = 1384/5 = 276.8. Standard Deviation = √276.8 = 16.6373. ***the 109925 is all values of x individually squared and then summed together. ***the 6-1 is because it is a sample‚ if this were a population it would just be 6. ***the 807 is the sum off all x. Coefficient of Variation = (16.63/134.5)*100 = 12.3643. Calculate estimates of tolerance intervals containing 68.26‚ 95.44‚ and 99.73 percents. Mean ± 1 SD (68.26%) = 134.5 ± 16.63 = [117.87‚ 151.13]
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constituting this chapter? 3.2 Unit of analysis & sampling strategy •€€€€€€€€€Who was your target sample or respondents and why? •€€€€€€€€€How did you sample or recruit the respondents? Probability versus non-probability sampling? •€€€€€€€€€How many people did you recruit and why? •€€€€€€€€€Refer to journal articles to understand how to decide a sampling strategy. 3.3 Research design •€€€€€€€€€Which research method did you use and why? Qualitative versus quantitative? •€€€€€€€€€Please
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