- you can clearly argue for both answers cost-to-service (increase in service level due to higher safety stock, increases costs) and cost-to-cost tradeoff (increase in inventory holding costs decreases stock-out costs)
- two answers are correct, as given in the answer key the test value equals the scales neutral point AND the alternative hypothesis is one-sided since it clearly says' the score is larger than our expectations' which implies Ha>4
In the continuous review model, is the average inventory held (I) equal to the cycle stock defined earlier in the chapter? They both look at order quantity/2 but wasnt sure if they can be used interchangeably
Not sure but I thought it was because of the sig, which is .00. This means that we can reject the HO, which always states that there is no relationship between the two variables., therefore there is a difference between food quality and service.
You can also reason that d must be false, because from the output you see that their correlation is -0.166
The communications gap is the difference between what company communicates about its performance and its actual performance while performance gap is the difference between actual and real performance, here it states that the guy promised him something but did not actually go through with it
Deal proneness has no relevance to the question you only need to see if the options are seeking to get an explanation on deal proneness with some other factor being independent and effecting the dependent variable
With this as a conclusion !
Speed: Air best, Pipe worst
Availability: Truck best, Pipe worst
Dependability: Pipe best, Air worst
Capability: Water best, Pipe worst
Frequency: Pipe best, Water worst
Cost: Air best, Pipe worst
My tutor told me that we have to look out for that 1= super no and 5= super like. Sometimes they switch the scales, so that a 5= I do not like this product. If they do this a higher mean = the product is not liked that much
Central tendency is about averages, it can be either mean, mode or median, depending on your data (nominal, ordinal or interval/ratio). Dispersion is the spread of your data, so either percentiles (ordinal) or standard deviation/variance (interval/ratio).
These errors can include, but are not limited to, data entry errors, biased questions in a questionnaire, biased processing/decision making, inappropriate analysis conclusions and false information provided by respondents.
(<a href="http://www.investopedia.com/terms/n/non-samplingerror.asp)" target="_blank">http://www.investopedia.com/terms/n/non-samplingerror.asp)</a>
vor 3 Jahren
THANK YOU :)
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