Cell phone probability analysis

Related BrainMass Solutions

• Probability using Binomial distribution for Cell phone owners

  If a sample of 10 adults is selected What is the probability that a.) 8 owned a cell phone b.) At least 8 own a cell phone c.)

• Probablity of telephone customers using a particular service provider

  Prob of using XYZ = 36 / 148 ( total users of XYZ / Total cell phone users) =.24324 If 6 cell phone users are selected at random, probability that at least one would be a XYZ user will be equal to 1- (probability that none are XYZ subscriber) Mathematically

• Hypothesis Testing: Confidence Intervals

  Suppose it is known that 65% of adults in Michigan have a cell phone. You plan to take a simple random sample of 40 adults from Michigan a. what is the probability that 75% or more of the adults in your sample will have a cell phone.

• Normal Distribution and Values

  (c) Find the probability that all 5 of the people from the collected random sample will own a cell phone. (d) Find the probability that more than 2 people from the sample will own a cell phone.

• Probability: Business Travelers and Golf

  For a sample of 15 business travelers, compute the probability that 3 of the travelers carry a cell phone or a laptop.

• How can a positioning analysis help a marketing manager iden

  If you were a marketing manager for your cell phone company, what would you include in a positioning analysis for that company?

• Binomial Probability: Survey of Drivers

  Let x represent the number who named talking on the cell phone as the most annoying habit. Complete parts (a) through (c).

• Binomial Probability: Most annoying habit of drivers

  b) Find the probability that exactly two people will name "talking on cell phone." P (2) =_____ (Round to the nearest thousandth as needed). c) Find the probability that at least five people will name talking on cell phones.

• Cell Phone Industry Analysis

  Smith that you will be submitting a report for his review conducting an analysis of the cell phone industry.

• Capacity Planning and Queuing Models

  The length of a phone call varies according to a negative exponential distribution, with a mean of 5 minutes. The sheriff will install a second telephone booth when an arrival can expect to wait 3 minutes or longer for the phone.