The Mean Number of Months

Related BrainMass Solutions

• Four Poisson Distribution Problems

  Hence if denotes the number of expires of the batteries in an interval of length 11 months, then X follows Poisson distribution with parameter = 5.5 months.

• Normal Distribution: Out of 500 connectors sold, how many do the company expect to replace on average?

  We will find the probability of failing within 19 months Mean=M = 18.2 months Standard deviation =s= 1.7 months x= 19.0 months z=(x-M )/s= 0.4706 =(19-18.2)/1.7 Cumulative Probability corresponding to z= 0.4706

• Compute a probability of normal distribution

  On the other hand, the warranty period must be long enough to make the purchase attractive to the buyer. For a new HDTV the mean number of months until repairs are needed is 36.84 with a standard deviation of 3.34 months.

• Computing the P-Value: The Iowa Department of Highways

  The mean number of months Cooper Paint lasted was 36.2 with a standard deviation of 1.114 months. The official review 35 road stripes. For King Paint, the mean number of months was 37.0 with a standard deviation of 1.3 months.

• What will be maximum life of a tire to qualify for a replace

  For a given population of tires, the life is normally distributed with a mean of 27 months and a standard deviation of 3.8 months. What will be the maximum life of a tire to qualify for the replacement program?

• The probability of off-the-job accidents in a sample size of 50

  What is the expected number of off-the-job accidents during six months?

• What sample size is ncessary for a study

  The mean of the sample is estimated.

• Probability calculation based on Z score

  On the other hand, the warranty period must be long enough to make the purchase attractive to the buyer. For a new HDTV the mean number of months until repairs are needed is 36.84 with a standard deviation of 3.34 months.

• Testing

  Test Value Katy Fit, aerobics instructor at the Anderson Recreation Center, is analyzing the attendance at her classes. She wonders if the mean number of people who come on Monday morning is the same as on Wednesday morning.