According to a manager it takes an average weekday commute of 39 minutes with a Standard Deviation of 7 minutes for the employees to get to work while they use their personal vehicles for their office commute while the management set a policy of not more than 40 minutes for their daily one-way commute. A survey conducted one day on 70 employees showed an average of 34 minutes commuting time using the metro public transportation system with a Standard Deviation of 21 minutes. If the Standard Deviation is uncontrollable then the other option to increase the probability of coming in on time via personal vehicles to work could be ____________?
A. Increase the average time of commute
B. Maintain the average time of commute and change route to work
C. Reduce average commute time to work by departing earlier
D. Change policy at work and request for flexible times based on location
According to a manager it takes an average weekday commute of 39 minutes with a Standard Deviation of 7 minutes for the employees to get to work when they use their personal vehicles for their office commute while management set a policy of not more than 40 minutes for their daily one-way commute. A survey conducted one day on 70 employees showed an average of 34 minutes commuting time using the metro public transportation system with a Standard Deviation of 21 minutes. For the employees choosing to increase their chances to come on time using personal transportation their variation should be reduced to ___________?
A. 1 minute
B. 6 minutes
C. 3.5 minutes
D. Eliminate it to 0.0 minutes
Due to excessive pollution, GREEN Solutions Inc. is considering subsidizing public transportation to work for its employees. According to the manager it takes an average weekday commute of 39 minutes with a Standard Deviation of 7 minutes for the employees to get to work while they use their personal vehicles for their office commute while the management set a policy of not more than 40 minutes for their daily one-way commute. A survey conducted one day on 70 employees showed an average of 34 minutes commuting time using the metro public transportation system with a Standard Deviation of 21 minutes. Assuming a Normal Distribution for the commute times by either personal or public transportation, which of these is true?
A. The probability that they would arrive on time using personal vehicles is much higher than using the metro public transportation system (MPTS)
B. The probability that they would arrive on time using the MPTS is much higher than using their personal vehicles
C. The two probabilities are about the same excepting in one case the consistency is higher than the other
D. We need to compile more data around weekends to incorporate for traffic differences
E. When Standard Deviation is higher the probability goes down and so the MPTS is worse
A 1-Sample t-test is used to compare an expected population Mean to a target.
A. True
B. False
Unequal Variances can be the result of differing types of distributions.
A. True
B. False
A 1-Sample t-test is used when you want to compare the Median of one distribution to a target value.
A. True
B. False
Having an Alpha of .05 and a Beta of .10 are the most common risk levels when running a Statistical test.
A. True
B. False
The Alpha level of a test (level of significance) represents the yardstick against which P- values are measured and the Null Hypothesis is rejected if the P-value is which of these?
A. Less than the Alpha level.
B. Greater than the Alpha level.
C. Greater than the Beta and Alpha level.
D. Less than one minus Alpha.
E. Less than the power of one minus Beta.
Inferential Statistics is largely about Significance. There are both Practical and _______________ Significance to consider during an analysis of data in a Lean Six Sigma project.
A. Problematic
B. Impractical
C. Usable
D. Statistical
It is a Type I error if we reject the Null Hypothesis when it is actually true.
A. True
B. False
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