EXPERIENCING MIS >CUSTOM<
EXPERIENCING MIS >CUSTOM<
7th Edition
ISBN: 9781323518731
Author: KROENKE
Publisher: PEARSON C
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Chapter 3, Problem 10CS
Program Plan Intro

About Amazon.com:

Amazon.com is aiming to prove that they are one of the leading online retailers by giving the people with fulfilled services and efficient product. They sell their own goods as well as the third party goods. Products like electronic items, software products, hardware products, kitchen items, jewelry, watches, baby product, dress for mem, women and children etc. They also provide FBA which is an Amazon service where other sellers can ship their goods to Amazon warehouse for stocking.

Amazon.com recruit people who are very good in their technical skill, so that they can innovate new things and can show their talent in emerging technology. They provide friendly ambience for the employees and so that they can complete their project without stress. The team leads and the managers create friendly circumstance to the employee by extending the dead line, helping technically etc. They innovate new products and technology year after year to put fourth their company in higher position.

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[5 marks] Give a recursive definition for the language anb2n where n = 1, 2, 3, ... over the alphabet Ó={a, b}. 2) [12 marks] Consider the following languages over the alphabet ƒ={a ,b}, (i) The language of all words that begin and end an a (ii) The language where every a in a word is immediately followed by at least one b. (a) Express each as a Regular Expression (b) Draw an FA for each language (c) For Language (i), draw a TG using at most 3 states (d) For Language (ii), construct a CFG.
Question 1 Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule. Question 2 Construct a frequency polygon density estimate for the sample in Question 1, using bin width determined by Sturges’ Rule.
Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule.
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