Maurice Tutor

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About Maurice Tutor

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Expertise:
Algebra,Applied Sciences See all
Algebra,Applied Sciences,Biology,Calculus,Chemistry,Economics,English,Essay writing,Geography,Geology,Health & Medical,Physics,Science Hide all
Teaching Since: May 2017
Last Sign in: 408 Weeks Ago, 1 Day Ago
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Education

  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

Experience

  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 06 Jan 2018 My Price 6.00

San Diego Padres

10       Before a strike prematurely ended the 1994 major league baseball season, Tony Gwynn of the San Diego Padres had 165 hits in 419 at bats, for a .394 batting average. There was discussion about whether Gwynn was a potential .400 hitter that year. This issue can be couched in terms of Gwynn’s probability of getting a hit on a particular at bat, call it u. Let Yi be the Bernoulli(u) indicator equal to unity if Gwynn gets a hit during his ith at bat, and zero otherwise. Then, Y1, Y2, …, Yn is a random sample from a Bernoulli(u) distribution, where u is the probability of success, and n  419.

Our best point estimate of u is Gwynn’s batting average, which is just the proportion of successes: y-  .394. Using the fact that se(y-)  y¯(1  y¯ )/n, construct an approximate 95% confidence interval for u, using the standard normal distribution. Would you say there is strong evidence against Gwynn’s being a potential .400 hitter? Explain.

Answers

Maurice Tutor
(5)
Status NEW Posted 06 Jan 2018 04:01 PM My Price 6.00

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