The engineer, jj, works for an electronic firm. she realizes that 4.5% of all integrated chips produced in her department are defective. she hired a consulting firm to give her advice on how to reduce the production of defective chips. the new plans were implemented. now jj wants to confirm that production of defectives had been reduced. how will she collect data and what statistical analysis she will do?

Find the missing part. use an improper fraction for your answer.

An electronics manufacturer wants to know if customers would be interested in a detachable keyboard for their tables and if so, what the most important features would be. the manufacturer partners with an electronics store to include copies of the survey with every purchase at that store for one week. which of the following best explains why this random sample is unlikely to be a good representative sample of tablet owners' preferences for a detachable keyboard? a) one week is likely not enough time to get a large enough sample. b) most people won't bother to send in the survey, which is likely to skew the results c) there is no way to verify whether the responders to the survey actually own a tablet d) the survey is biased because it was conducted through an electronics store, not the general population

The population of a small rural town in the year 2006 was 2,459. the population can be modeled by the function below, where f(x residents and t is the number of years elapsed since 2006. f(t) = 2,459(0.92)