Statistical analysis allows a manufacturer to evaluate its
inventory costs based on two methods: LIFO (Last In First Out) or
FIFO (First In First Out). The manufacturer evaluated its finished
goods inventory costs in $000 for five products with the FIFO and
LIFO methods. Based on the following results, does the FIFO method
result in a higher cost of inventory than the LIFO method? To
analyze the inventory costs, compute the difference by the FIFO
cost minus LIFO cost for each product. For example, the difference
for Product 1 is 4 (225 - 221). Suppose that the population of
paired differences is normally distributed.
What is the test statistic for the hypothesis test?
Select one:
A. 0.470
B. 2.776
C. -2.028
D. 0.933
The data is not given so we just describe the procedure, how the problem is solved by taking an example.
As the data will be paired data (FIFO-LIFO) we will conduct paired t test in minitab.
Take the data as :
FIFO : 225, 228, 232, 237
LIFO :221, 227, 234, 236
the T statistic is 0.82 (p-value = 0.474>0.05 so null hypothesis is accepted)
Hence we conclude the FIFO method result in a higher cost of inventory than the LIFO method
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