The manager of a computer retails store is concerned that his suppliers have been giving him laptop computers with lower than average quality. His research shows that replacement times for the model laptop of concern are normally distributed with a mean of 4.1 years and a standard deviation of 0.4 years. He then randomly selects records on 32 laptops sold in the past and finds that the mean replacement time is 3.9 years. Assuming that the laptop replacement times have a mean of 4.1 years and a standard deviation of 0.4 years, find the probability that 32 randomly selected laptops will have a mean replacement time of 3.9 years or less. P(M < 3.9 years) = Enter your answer as a number accurate to 4 decimal places. NOTE: Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted. Based on the result above, does it appear that the computer store has been given laptops of lower than average quality? Yes. The probability of this data is unlikely to have occurred by chance alone. No. The probability of obtaining this data is high enough to have been a chance occurrence.
The manager of a computer retails store is concerned that his suppliers have been giving him laptop computers with lower than average quality. His research shows that replacement times for the model laptop of concern are
Assuming that the laptop replacement times have a mean of 4.1 years and a standard deviation of 0.4 years, find the
P(M < 3.9 years) =
Enter your answer as a number accurate to 4 decimal places. NOTE: Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.
Based on the result above, does it appear that the computer store has been given laptops of lower than average quality?
- Yes. The probability of this data is unlikely to have occurred by chance alone.
- No. The probability of obtaining this data is high enough to have been a chance occurrence.
GIven Information:
Population mean (u) = 4.1 years
Standard Deviation () =0.4 years
Sample mean (x) = 3.9 years
Sample size (n) = 32
To determine the probability, there is a need to determine the z score first.
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