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3 years ago

When Hurricane Katrina shut down many oil refineries, the supply curve for oil

2 answers:

4 0

When Hurricane Katrina shut down many oil refineries, the supply curve for oil shifted to the left. This is because the oil refineries in the Gulf of Mexico shut down which meant the supply for oil dropped.

zhenek [66]3 years ago

4 0

Answer: Option A

Explanation: In simple words, supply refers to the quantity that the producer is willing to offer and sell to the market at a given price. When the natural calamity shuts down the oil refineries the ability of the producer to supply oil will decrease eventually leading to decrease in supply.

The decrease in supply will shift the supply curve to the left. Hence the correct option is A.

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You can receive 400,000 five years from today or 1,000,000 thirty years from today. what interest rate makes them equivalent?

deff fn [24]

Answer:

3.73%

Explanation:

The computation of the rate of interest that makes the equivalent is shown below:

As we know that

Present value=Cash flow × Present value discounting factor ( interest rate% , time period)

Let us assume the interest rate be x

where,

Present value of $400,000 is

= $400,000 ÷ 1.0x ^5

And,

Present value of $1,000,000 be

= $1,000,000 ÷ 1.0x^30

Now eqaute these two equations

$400,000 ÷ 1.0x^5 = $1,000,000 ÷ 1.0x^30

(1.0x^30) ÷ (1.0x^5) = $1,000,000 ÷ $400,000

1.0x^(30 - 5)=2.5

1.0x^25=2.5

1.0x = (2.5)^(1 ÷ 25)

x =1.03733158 - 1

= 3.73%

3 0

3 years ago

The Centers for Disease Control and Prevention (CDC) defines a healthy sleep duration

laiz [17]

a. The point estimate of the married people that sleep well is = 0.6299. The confidence interval for the mean hours of sleep for those that have never been married but report good sleep is 0.6186, 0.6412

b. The point estimate of the number of hours for people that have never been married = 7.2257

95% confidence interval for the mean number of hours of sleep for those who have never been married = 7.2065, 7.2447

c. the estimated number of sleep for those that have never been married = 7.729 hours

a. The point estimate

$P=\frac{Xp}{n}$

$Xp = successes\\n = sample size\\$

Those who have never been married n = 7044

Xp = those who sleep for 7 hours at least

To get Xp, the excel function

Countif(range, criteria)

Countif(A:A, >=7)

This gives Xp = 4437

Point estimate =

$\frac{4477}{7044}$

= 0.6299

The point estimate of the married people that sleep well is = 0.6299

At 95% interval of confidence,

α = 1-0.95 = 0.05

α/2 = 0.05/2 = 0.025

Z0.025 = 1.96 ( Use the standard probability normal table)

Margin of Error

= $M.E = 1.96\sqrt \frac{0.6299(1-0.6299)}{7044} \\\\= 1.96\sqrt{0.000033} \\\\1.96*0.0057$

= 0.0113

The 95% confidence interval

= 0.6299 - 0.0113 , 0.6299 + 0.0113

= 0.6186, 0.6412

The confidence interval for the mean hours of sleep for those that have never been married is 0.6186, 0.6412

b. Sample mean

x = ∑x/n

x = number of sleep of the never been married

Mean is calculated using excel function

Average(range)

Average(a:a)

This gives the sample mean = 7.2257

The point estimate of the number of hours for people that have never been married = 7.2257

Standard deviation using excel =

Stdev(A:A) = 0.8211

$Margin of error =1.96*\frac{0.8211}{\sqrt{7044} }$

= 0.0192

The confidence interval =

= 7.2257-0.0192, 7.2257+0.0192

= 7.2065, 7.2447

95% confidence interval for the mean number of hours of sleep for those who have never been married = 7.2065, 7.2447

c. From the available data, the mean number of sleep per day that is gotten from the 4437 people that are unmarried and sleep healthily for at least 7 hours = 34295.1

Mean = 34295.1/4437

= 7.729

the estimated number of sleep for those that have never been married = 7.729 hours

6 0

2 years ago

In 2012 the change in business inventories is -$70 billion and GDP is $200 billion. Final sales in 2012 Group of answer choices

blsea [12.9K]

Answer:

are $270 billion

Explanation:

Change in business inventories in 2012 = -$70 billion

GDP of 2012 = $200 billion

Final sales in 2012 = GDP - Change in inventory

Final sales in 2012 = $200 billion - (- 70 billion )

Final sales in 2012 = $200 Billion + 70 billion

Final sales in 2012 = $270 billion

Hence proved that the correct answer is $270 billion

7 0

3 years ago

Below is information from the financial statements of Greenwich Company: Accounts receivable (net) 2016: $2,400 Accounts receiva

ra1l [238]

Answer:

32.44 days

Explanation:

The computation of the average collection period is shown below:

But before that we have to determine the account receivable turnover ratio

So, the account receivable turnover ratio is

= (net sales) ÷ (average of account receivables)

= $25,875 ÷ ($2,400 + $2,200) ÷ 2

= $25,875 ÷ $2,300

= 11.25 times

Now the average collection period is

= Total no of days in a year ÷ account receivable turnover ratio

= 365 ÷ 11.25

= 32.44 days

We assume that the no of days that should be considered is 365 days

7 0

2 years ago

The statement of cash flows shows the following information: Cash provided by operating activities of $18,200 Cash used by inves

Rudiy27

Answer:

$27,400

Explanation:

The amount of cash at the end of the period is calculated as;

Cash provided by operating activities

$18,200

Cash used by investing activities

($6,700)

Cash used by financing activities

($1,200)

Net increase (decrease) in cash balance

(a) $10,300

Cash at the beginning of the year

(b) $17,100

Cash at the end of the year

c = (a) + (b) = $27,400

8 0

2 years ago