Answer:
d. Shopping
Explanation:
Based on the scenario being described within the question it can be said that this flight is an example of a shopping product. This term refers to a product that consumers purchase very rarely, and because of this choose to compare prices between all the available options in the market because they do not know what a regular price range actually is for that product.
Answer:
Salt's basis = -$3900 from a 50% sharing basis
Explanation:
profit sharing ratio as per contributions is 50%:50%
ordinary loss - $5000
tax exempt income -$2000
Charitable contribution -$800
Taxable loss =$7800
profit(loss) share
Salt = -3900
Pepper =-3900
Answer:
The correct option is B
Explanation:
Meta- analysis is the tool for the analysis of statistical which combine or merge the consequences of the multiple scientific studies. This analysis is conducted when there are multiple scientific studies, with each and every individual study that reports, the evaluations which are expected to have the degree of the error.
Therefore, Casey who is pooling the results statistically of the several studies into a single analysis. So, Casey assigned to conduct or perform a meta - analysis.
Answer:
$6,755
Explanation:
The computation of the cost of the ending inventory using the perpetual LIFO method is as follows:
For January:
Total value = Units remaining in inventory × cost per unit
= (23 - 17) × $205
= $1,230
For February:
Total value = Units remaining in inventory × cost per unit
= (33 - 17) × $210
= $3,360
For May:
Total value = Units remaining in inventory × cost per unit
= (28 - $21) × $215
= $1,505
For September:
Total value = Units remaining in inventory × cost per unit
= (25 - 20) × $220
= $1,100
For November:
Total value = Units remaining in inventory × cost per unit
= (25 - 23) × $220
= $660
Cost of the ending inventory:
= $1,230 + $3,360 + $1,505 + $660
= $6,755
Answer:
TRUE
Explanation:
The Z value determinates the level of service at a normalize distribution of (0;1) We then convert this value to the deviation of our distribution by multiplying each other.
The Z value represent the the value at which a 99% or 95% or whatever percent of change of safety is achieve. We convert by our deviation to adapt the normalize distribution of (1;0) to our values.
There is always a chance for stock-out as we work with probabilities and at more higher safety level we require more units to make up for the change of a single customer from nowhere purchase an unexpected amount. As this person can appear anytime and purchase any amount there is always a level of uncertain (5% or 1% or less)
