Answer:
True
Explanation:
An increase in the cost of production would cause some producers to stop production, supply would fall and the supply curve would shift to the left.
I hope my answer helps you
Answer:
Earning per share for the year 2016 is $2.68
Explanation:
For computing the earning per share, we have to use the formula of earning per share which is shown below:
= Net income ÷ total number of outstanding shares
where,
Net income is $937,500
And, the total number of outstanding shares equals to
= 2015 shares + 2016 shares
= 300,000 + 50,000
= 350,000
Now put these values to the above formula
So, the earning per share would be equals to
= $937,500 ÷ 350,000 shares
= $2.68
The earning after tax is not considered. Thus, it is ignored.
Hence, earning per share for the year 2016 is $2.68
Answer:
total cost to be accounted = $297000
Explanation:
given data
beginning work in process inventory = $37,000
ending work in process inventory = $43,000
costs added to production = $260,000
cost of units transferred out = $254,000
solution
we get here total cost to be accounted that is express as
total cost to be accounted = ending work in process inventory + cost of units transferred out ......................1
put here value and we will get
total cost to be accounted = $43,000 + $254,000
total cost to be accounted = $297000
Answer: targeting
Explanation: In simple words, targeting strategies refers to the strategy involving the selection of potential customers and product that will be offered to those customers.
In the given case, Chandler is doing a minor change in the presentation of the goods offered so that he can target different type of customers. In the first store he is trying to target the high value customers by arranging the goods in a sophisticated manner and in the second one he is targeting the common customer.
Hence from the above we can conclude that Kumar is using different targeting strategies.
Answer:
Explanation:
1)
: All group means equal or 
At least one of the treatment group means are different
ANOVA TABLE
<u>Source of Variation SS df MS F P-value F crit
</u>
Between Groups 213.5 3 71.16667 0.65 0.5975 3.490295
Within Groups 1312.5 12 109.375
MSB = SSB / DFB = 71.16667
MSE = SSE / DFE = 109.375
F = MSB / MSE = 0.650667
3) P-value: 0.597576
The test statistic is not significant and failed to reject the null hypothesis.
4) The test statistic is not significant. So, there is no evidence to conclude that there is a difference between groups.
