For each scenario (a)–(j), state whether or not the binomial distribution is a reasonable model for the random variable and why. State any assumptions you make. a. A production process produces thousands of temperature transducers. Let X denote the number of nonconforming transducers in a sample of size 30 selected at random from the process.
b. From a batch of 50 temperature transducers, a sample of size 30 is selected without replacement. Let X denote the number of nonconforming transducers in the sample.
c. Four identical electronic components are wired to a controller that can switch from a failed component to one of the remaining spares. Let X denote the number of components that have failed after a specifi ed period of operation.
d. Let X denote the number of accidents that occur along the federal highways in Arizona during a one-month period.
e. Let X denote the number of correct answers by a student taking a multiple-choice exam in which a student can eliminate some of the choices as being incorrect in some questions and all of the incorrect choices in other questions.
f. Defects occur randomly over the surface of a semiconductor chip. However, only 80% of defects can be found by testing. A sample of 40 chips with one defect each is tested. Let X denote the number of chips in which the test fi nds a defect. Reconsider the situation in part (f). Now suppose that the sample of 40 chips consists of chips with 1 and with 0 defects. h. A filling operation attempts to fill detergent packages to the advertised weight. Let X denote the number of detergent packages that are under filled. i. Errors in a digital communication channel occur in bursts that affect several consecutive bits. Let X denote the number of bits in error in a transmission of 100,000 bits. j. Let X denote the number of surface flaws in a large coil of galvanized steel.