Business Statistics - STA 2023 Ms. Laura Reisert Instructor |
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:: Back to Menu :: Chapter 1 Supplelmentary Exercises A manufacturer
of vacuum cleaners has decided that an assembly line is operating satisfactorily
if less than 2% of the cleaners produced per day are defective. If 2%
or more of the cleaners are defective, the line must be shut down and
proper adjustments be made. To check every cleaner as it comes off the
line would be costly and time-consuming. The manufacturer decides to choose
30 cleaners at random from a specific day's production and test for defects. (b) Identify the variable of interest. (c) Describe the sample. (d) Give an example of an inference the manufacturer might make. (e) What is the parameter of interest (f) What is the statistic?
(b) The "condition" of a vacuum cleaner. (c) Thirty randomly selected vacuum cleaners from a day's production -or- The conditions of 30 randomly selected vacuum cleaners from a day's production. (d) If our sample proportion of defective vacuum cleaners is .10, an example
of an inference might be: "Based on my random sample of 30 vacuum cleaners,
I believe the proportion of defective vacuum cleaners in the day's production
is around .10." Your decision based on your inference would be to shut down
the assembly line because you inferred that the proportion of defective
VC's for the day's production is at least .02. Is it possible that you would
shut down the assembly line unnecessarily? |