Sampling and Estimation von Edu Pristine

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Über den Vortrag

Der Vortrag „Sampling and Estimation“ von Edu Pristine ist Bestandteil des Kurses „Archiv - Quantitative Methods“. Der Vortrag ist dabei in folgende Kapitel unterteilt:

  • Sampling
  • Methods of Probability Sampling
  • Central Limit Theorem
  • Standard Error of sample mean
  • Level of Significance and Degree of Confidence
  • Confidence Interval for a population mean, given a normal distribution
  • Sampling Related Issues

Dozent des Vortrages Sampling and Estimation

 Edu Pristine

Edu Pristine

Trusted by Fortune 500 Companies and 10,000 Students from 40+ countries across the globe, EduPristine is one of the leading International Training providers for Finance Certifications like FRM®, CFA®, PRM®, Business Analytics, HR Analytics, Financial Modeling, Operational Risk Modeling etc. It was founded by industry professionals who have worked in the area of investment banking and private equity in organizations such as Goldman Sachs, Crisil - A Standard & Poors Company, Standard Chartered and Accenture.

EduPristine has conducted corporate training for various leading corporations and colleges like JP Morgan, Bank of America, Ernst & Young, Accenture, HSBC, IIM C, NUS Singapore etc. EduPristine has conducted more than 500,000 man-hours of quality training in finance.
http://www.edupristine.com


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Auszüge aus dem Begleitmaterial

... and a sampling distribution and interpret sampling error ...

... 2 Need for Sampling. The physical impossibility of checking all items in the population. The cost of studying all the items in a population. The sample results ...

... between simple random and stratified ...

... random sampling. Simple Random Sampling: A sample formulated so that each item orperson in the population has the same chance of being included. Systematic Random Sampling: The items or individuals of the population are arranged in some order. A random starting point is selected and then every ... member of the population is selected. ...

... likely used in bond indexing? A. Simple random sampling B. Stratified random sampling ...

... B. Stratified random sampling In case of bond indexing the bond population is stratified/categorized according to ...

... A random sample of 100 mobile store customers spent an average of $150 at the store. Assuming the distribution is normal & the population standard deviation is $10, the 95% ...