Half of market share, Applied Statistics

Your company has developed a new product .Your company is a reputed company with 50% market share of same range of products. Your competitors also come with their new products equal to your new product. Based on your previous experience,
you initially estimated that, your market share of the new product would be 50%. You carry out random sampling of 25 customers who have purchased the new product ad realize that only 8 of them have actually purchased your product. Plan a hypothesis test to examine whether you are likely to have a half of market share. 

Posted Date: 3/20/2013 3:50:49 AM | Location : United States







Related Discussions:- Half of market share, Assignment Help, Ask Question on Half of market share, Get Answer, Expert's Help, Half of market share Discussions

Write discussion on Half of market share
Your posts are moderated
Related Questions
Consider the following new business venture. An agent is considering investment in one of three real estate parcels: • Option 1: multiunit rentals • Option 2: commercial building

Applications of Standard Error   Standard Error is used to test whether the difference between the sample statistic and the population parameter is significant or is d

The weight of the engine in kN is given in P2 and is suspended from a vertical chain at A. A second chain round the engine is attached at A, with a spreader bar between B and C. Th

Different analyses of recurrent events data: The bladder cancer data listed in Wei, Lin, and Weissfeld (1989) is used in Example 54.8/49.8 of SAS to  illustrate different anal

Significance of Correlation The study of correlation is of immense use in practical life. Correlation analysis contributes to the understanding of economic behavior, aids in lo

Type of Variable in Regression Analysis There are two types of variable in regression analysis. These are: a.      Dependent variable b.      Independent variable

Disadvantages The value of mode cannot always be determined. In some cases we may have a bimodal series. It is not capable of algebraic manipulations. For example, from t


This question explores the effect of estimation error on apparent arbitrage opportunities in a controlled simulation setting. We simulate returns for N = 10 assets over T = 30 year

Calculation for Continuous Series or Grouped Data = where, m = mid-point of class   =