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3 years ago

A collection of data recorded over a weekly, monthly, quarterly, or yearly time interval is known as _______.

Business

1 answer:

Anit [1.1K]3 years ago

8 0

Answer:

Time series

Explanation:

A time series is a sort of data sequence or the collection of the data in which the data is measured or observed over the equal intervals of time over a period of time.

Therefore,

The sequence achieved is discrete time data.

This can be applied to the following type of data;

Real-valued
Continuous data
Discrete numeric data
Discrete symbolic data

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On December 29, 2005, BJ Co. sold an equity security investment that had been purchased on January 4, 2004. BJ owned no other ma

sineoko [7]

Answer:

AFS 2004 market price decline exceeded 2005 market price recovery

No No

The security cannot be classified as available-for-sale because the unrealized gains and losses are recognized in the Income Statement. Unrealized gains and losses on available-for-sale securities are recognized in owners' equity, not earnings.

The second part of the question is somewhat ambiguous. The 2004 price decline could exceed or be exceeded by the 2005 price recovery. The loss in the first year is not related in amount and does not constrain the realized gain in the second year.

The way to answer the question is to read the right column heading as implying that the earlier price decline must exceed the later price recovery. With that interpretation, the correct answer is no.

For example, assume a cost of $10 and a market value of $4 at the end of the first year. An unrealized loss of $6 is recognized in earnings. During the second year, the security is sold for $12. A realized gain of $8 is recognized-the increase in the market value from the end of the first year to the sale in the second year. Thus, the market decline in the first year did not exceed the recovery in year two. (It could have exceeded the recovery in year two but there is no requirement that it must.)

Explanation:

3 0

3 years ago

Now suppose that the supply of new homes put on the market dropped, but price still stayed the same at $200,000. this could on

GenaCL600 [577]

If demand also dropped.

If supply goes down and demand goes up, the price would rise.

If supply goes down and demand stays the same, the price would still rise.

5 0

3 years ago

he St. Augustine Corporation originally budgeted for $360,000 of fixed overhead at 100% normal production capacity. Production w

OLga [1]

Answer:

$9000 (unfavorable).

Explanation:

Given: Budgeted fixed overhead= $360000.

Actual fixed overhead=$ 360000.

Actual production= 11,700 units.

The variable overhead rate was $3 per hour.

The standard hours for production were 5 hours per unit.

The fixed factory overhead volume variance is difference between actual production volume and budgeted production. It help in measuring the effecient use of fixed resources. It is termed as favourable if actual fixed overhead exceed the budgeted amount, however, it is unfavorable if the actual fixed overhead is less than budgeted amount.

Now, lets calculate the Actual fixed overhead cost.

Actual fixed overhead cost= $\textrm{actual fixed overhead}\times \frac{Actual\ production}{Budgeted\ production}$

∴ Actual fixed overhead cost= $\$ 360000\times \frac{11700}{12000} = \$ 351000.$

Actual fixed overhead cost= $351000.

Next calculating the fixed factory overhead volume variance.

The fixed factory overhead volume variance= $\textrm{Actual fixed overhead cost}-\textrm{budgeted fixed overhead}$

We know, Budgeted fixed overhead= $360000 and Actual fixed overhead cost= $351000

∴ The fixed factory overhead volume variance= $\$351000-\$360000= \$ 9000 (unfavorable)$

The fixed factory overhead volume variance= $9000 (unfavorable)

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3 years ago

Consider two perfectly negatively correlated risky securities, X and Y. Security X has an expected rate of return of 9% and a st

Aneli [31]

Answer:

0.41

Explanation:

The computation of the weight of security Y in the minimum variance portfolio is shown below:-

Weight of security X = Standard deviation of security Y ÷ (Sum of the standard deviation of securities)

= 39% ÷ (39% + 27%)

= 39% ÷ 66%

= 59.01%

Weight of security Y = 1 - Weight of security X

= 1 - 59.01%

= 0.41

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3 years ago

Construction workers manufacturing workers and farmers have what in common?

Marina86 [1]

Answer: There career pathways

Explanation:

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3 years ago