Does the data provide enough evidence to conclude that, at the 5% significance level, the final mark and the number of skipped lectures are linearly related?
What will be an ideal response?
H0 : ?1 = 0 against H1 : ?1 ? 0
Test statistic: t = -1.916
Reject H0 if |t| > t0.05, 46. Since t0.05, 46 = 2.013, we fail to reject H0. Hence, the data does not provide enough evidence to conclude that, at the 5% significance level, the final mark and the number of skipped lectures are linearly related.
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To achieve compromise, one needs to
a. avoid overt disagreement. b. value openness and trust. c. dominate the other conflicting party. d. give up something of value.
Acceptance sampling:
A) is the application of statistical techniques to the control of processes. B) was developed by Walter Shewhart of Bell Laboratories. C) is used to determine whether to accept or reject a lot of material based on the evaluation of a sample. D) separates the natural and assignable causes of variation. E) is another name for 100% inspection.