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How many separate injection events can HPCR (high pressure common rail) systems currently provide during one combustion cycle?
Type I Error
A mistake wherein a true null hypothesis is incorrectly rejected, commonly termed as a "false positive."
Alpha
In statistics, often refers to the significance level used in hypothesis testing, typically set at 0.05 or 0.01, representing the probability of incorrectly rejecting the null hypothesis.
Alpha
In statistics, the threshold of probability at which the null hypothesis is rejected, often set at 0.05 or 5%.
Type I Error
The error that occurs in hypothesis testing when a true null hypothesis is incorrectly rejected, falsely indicating a significant effect or difference.
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