a)
expected number of failure in 100 miles =6*2=12 =
hence P(meet its goal)=P(X<=6) =
=0.0458
b)P(not meet its goal) =1-P(meet goal) =1-0.0458 =0.9542
c)
expected number of failure in 200 miles =6*4 =24=
P(X<=6) =
=0.0000
d)
expected number of failure in 150 miles =6*3=18 =
P(X>12) =1-P(X<=12) =1-
=1-0.0917 =0.9083
(a) Find the probability that the company will meet ts goal on a particular Probablaty Probability...
A telephone company's goal is to have no more than five monthly line failures on any 100 miles of line. The company currently experiences an average of 4 monthly line failures per 50 miles of line. Let x denote the number of monthly line failures per 100 miles of line. Assuming x has a Poisson distribution: (a) Find the probability that the company will meet its goal on a particular 100 miles of line. (b) Find the probability that the...
A telephone company’s goal is to have no more than five monthly line failures on any 100 miles of line. The company currently experiences an average of two monthly line failures per 50 miles of line. Let x denote the number of monthly line failures per 100 miles of line. Assuming x has a Poisson distribution: a. Find the probability that the company will meet its goal on a particular 100 miles of line. b. Find the probability that the...
A telephone company's goal is to have no more than 4 monthly line failures on any 100 miles of line. The company currently experiences an average of 4 monthly line failures per 50 miles of line. Let x denote the number of monthly line failures per 100 miles of line. Assuming x has a Poisson distribution: (a) Find the probability that the company will meet its goal on a particular 100 miles of line. (Do not round intermediate calculations. Round...
A telephone company's goal is to have no more than 4 monthly line failures on any 100 miles of line. The company currently experiences an average of 5 monthly line failures per 50 miles of line. Let x denote the number of monthly line failures per 100 miles of line. Assuming x has a Poisson distribution: (a) Find the probability that the company will meet its goal on a particular 100 miles of line. (Do not round intermediate calculations. Round...
A telephone company's goal is to have no more than 6 monthly line failures on any 100 miles of line. The company currently experiences an average of 2 monthly line failures per 50 miles of line. Let x denote the number of monthly line failures per 100 miles of line. Assuming x has a Poisson distribution: (a) Find the probability that the company will meet its goal on a particular 100 miles of line. (Do not round intermediate calculations. Round...
b. For this process what is
the probability that a shaft is acceptable?
A particular manufacturing design requires a shaft with a diameter between 19.89 mm and 20.013 mm. The manufacturing process yields shafts with diameters normally distributed, with a mean of 20.002 mm and a standard deviation of 0.005 mm. Complete parts (a) through (c) a. For this process what is the proportion of shafts with a diameter between 19.89 mm and 20.00 mm? The proportion of shafts with...
8) To meet the goal of APA guidelines to stress smoothness of experession, or clear and logical communication, one should provide _______ from paragraph to paragraph and from section to section.
We are interested in determining the probability that a retail store will meet its daily revenue goal of $100. Analysis of sales history indicates that daily demand, D is random and independent of the demand on other days. Assume D follows the distribution below P(D=d) = 0.3, d=0 0.3, d=1 0.2, d=2 0.1, d=3 0.1, d=4 Furthermore, due to a complicated discount structure, the shop has determined that their revenue per day can be modeled as R(s) = −100 cos(20s)...
0) A retail store has implemented procedures aimed at reducing the number of bad checks cashed by its cashiers. The store's goal is to cash no more than eight bad checks per week. The average number of bad checks cashed is three per week a) Find the probability that the store's cashiers will not cash any bad checks in a particular week. b) Find the probability that the store will meet its goal during a particular week. c) During another...
Find H0, Ha, TS, RR, and conclusion
(16) The manager of a soda company knows his bottles are supposed to be filled with 20 ounces of soda. A random sample of 10 bottles is taken and they were found to have a mean of 21 ounces and a standard deviation of 1.3 ounces. Is there evidence that the soda company is overfilling the bottles? Use a 01.