Note: Attempt all the questions and submit this assignment on or before 31st October, 2013 to the coordinator of
your study centre.
“Statistical unit is necessary not only for the collection of data, but also for the interpretation and presentation”.
Explain the statement...
SP JAIN INSTITUTE OF MANAGEMENT AND RESEARCH
To study advanced management-science (MS) techniques and topics related to business administration. At the beginning, this course organizes in a hierarchy (i.e., it paints a “big picture” of) the various...
PROBABILITY AND STATISTICS
Lab, Seminar, Lecture 4.
Behavior of the sample average
The topic of 4th seminar&lab is the average of the
population that has a certain characteristic. This average is the population parameter of interest, denoted by the greek letter mu. We estimate...
“when”, “where”, “what”… It's a precise statement of what the research project will achieve.
RQ4 Why is determining the decision problem a critical step in any research endeavor?
It’s an important step because it allows the researcher to determine whether it is really necessary to employ the research...
The CentralLimitTheorem (CLT) is what our parametric inferential statistics are based upon. The question is, if you draw samples from a population and calculate the means of those samples, how close can you expect them to be to the population mean? The CLT addresses...
Copyright c 2010 by Karl Sigman
IEOR 4106: Notes on Brownian Motion
We present an introduction to Brownian motion, an important continuous-time stochastic process that serves as a continuous-time analog to the simple symmetric random walk on the one hand, and shares fundamental properties...
topics in quick, focused lessons
Deborah Rumsey, PhD
Auxiliary Professor and Statistics Education Specialist, The Ohio State University
by Deborah Rumsey, PhD
Statistics Essentials For Dummies®
Published by Wiley Publishing, Inc. 111 River St. Hoboken...
Synthesis/Potential Test Questions (PTQs)
• What is statistics? Making an inference about a population from a
• What is the logic that allows you to be 95% confident that the confidence interval contains the population parameter?
We know from the CLT that sample means are normally distributed around...
labels (e.g. Amazon Standard Item Number) Data values are useless without their context The W’s: WHO WHAT (essential) (AND IN WHAT UNITS) WHEN WHERE WHY HOW -> context for data values
Who The rows of a data table correspond to individual cases about Whom (or which) we record some characteristics Respondents...
must first understand two important concepts: 1) sampling distributions of statistics, and 2) the centrallimittheorem. Sampling Distributions Imagine drawing (with replacement) all possible samples of size n from a population, and for each sample, calculating a statistic--e.g., the sample mean. The...
variable Normal distribution Standard error Sampling distribution Control chart
Prior exposure to Statistics Undergraduate or prior graduate course Work experience Preparations here at ISB Concepts you probably already know Data and samples Numerical summaries...
(b) Why is the normality assumption not a problem, despite the very small value of p? (Data are from Flying 120, no. 11 [November 1993], p. 31.)
Because the sample size is very large, p is normally distributed by the CentralLimitTheorem (CLT). The larger the sample the...
representative of the population.
Business Statistics is the science of ‘good' decision making in the face of uncertainty and is used in many disciplines, such as financial analysis, econometrics, auditing, production and operations, and marketing research.
Statistics is a science of making decisions with...
RAJSHAHI FACULTY OF SCIENCE DEPARTMENT OF STATISTICS B.Sc. Honours Syllabus in Statistics Session: 2011 – 2012 Part I Examination – 2012 Part II Examination - 2013 Part III Examination - 2014 Part IV Examination - 2015 The B.Sc. (Honours) courses in Statistics consist of total 160 credits of 4000 marks...
Data Types, Data Display and
• Descriptive Statistics vs. Inferential Statistics
Descriptive Statistics - Data summarization
Inferential Statistics - Use of sample data to make
inferences about a population
time. | Time-series - data collected over different time periods |
* Data can be obtained via existing sources & experimental/observational studies
Experimental - when values of factors can be set or manipulated | Observational - when factors of interest cannot be controlled |