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Paladinen [302]
3 years ago
6

Should i study buisness like is it hard

Business
1 answer:
Len [333]3 years ago
8 0

Answer:

idk, just go for it if its wut u want

Explanation:

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Economist Brown believes that changes in aggregate demand affect only the price level, and economist Black believes that changes
n200080 [17]

Answer:

Economist Brown : Perfectly Inelastic (Vertical) Aggregate Supply

Economist Black : Perfectly Elastic (Horizontal) Aggregate Supply

Explanation:

Economy is at equilibrium where : Aggregate Demand = Aggregate Supply.

Aggregate Demand is downward sloping curve, as aggregate demand is inversely related with price. Increase in AD shifts the AD curve rightwards.

Aggregate Supply is usually upward sloping curve, as it is directly related to price. However, as per given special cases by Economists Black & Brown, it is as undermentioned :

  • Black : AD increase (rightwards shift) increases only price if - Aggregate Supply is perfectly inelastic i.e non respondent to price & AS curve is vertical.

Real GDP is the total value of goods & services produced by an economy, valued at constant base prices. Increase in real GDP implies increase in production quantity.

  • Brown : AD increase (rightwards shift) increases only Real GDP (quantity) if - Aggregate Supply is perfectly elastic (infinitely respondent to price, so prices constant) & AS curve is horizontal.
4 0
3 years ago
A bottling operation has a mean fill level of 10.01 ounces with a standard deviation of 0.25 ounces. Random samples of 20 bottle
MAVERICK [17]

Answer:

The upper limit is 10.1

The lower limit is 9.91

Explanation:

Given that:

The mean fill level (μ) = 10.01 ounces,

Standard deviation (σ) = 0.25 ounces

Number of sample bottles (n) = 20

The limits of the sample mean = 92% = 0.92

α = 1 - 0.92 = 0.08

\frac{\alpha}{2}=0.04

The z value of 0.04 is the same as the z value of 0.46 (0.5 - 0.04). From the probability distribution table:

z_{\frac{\alpha}{2}}=z_{0.04} = 1.75

The margin of error (e) is given by:

e=z_{0.04}\frac{\sigma}{\sqrt{n} }=1.75*\frac{0.25}{\sqrt{20} }  =0.1

The upper limit = μ + e = 10.01 + 0.1= 10.1

The lower limit = 10.01 - 0.1 = 9.91

6 0
3 years ago
Workhorse Air Crane Corporation employs aircraft mechanics, computer programmers, outside salespersons, and professionals, inclu
xenn [34]

Workhorse Air Crane Corporation employs aircraft mechanics, computer programmers, outside salespersons, and professionals, including pilots. Employees exempt from the Fair Labor Standards Act's overtime provisions include all of the following except​ (A) aircraft mechanics

Explanation:

Section 13(a)(1) of the <u>Fair Labor Standards Act's-FLSA</u> provides an exemption from both minimum wage and  overtime pay for employees who are employed as<u> bonafide executive, administrative, professional and  outside sales employees. </u>

Section 13(a)(1) and Section 13(a)(17) of <u>Fair Labor Standards Act's </u>also exempt certain computer  employees.

To qualify for exemption under the <u>Fair Labor Standards Act</u> , employees generally must meet certain tests regarding their  job duties and be paid on a salary basis at not less than $684* per week.

6 0
3 years ago
There are ___ different Bright Futures scholarships.
WARRIOR [948]

Bright futures funds three scholarships.

5 0
3 years ago
Read 2 more answers
Colina Production Company uses a standard costing system. The following information pertains to the current year. Direct labor h
mash [69]

Answer:

variable overhead efficiency variance= $562.5 unfavorable

Explanation:

Giving the following information:

The actual production of 5,500 units

Actual direct labor hours= 11,250

Standard direct labor for 5,500 units:

Standard hours allowed 11,000 hours

First, we need to determine the variable overhead rate:

Variable overhead rate= 22,500/10,000= $2.25 per direct labor hour

Now, using the following formula we can determine the variable overhead efficiency variance:

variable overhead efficiency variance= (Standard Quantity - Actual Quantity)*Standard rate

variable overhead efficiency variance= (11,000 - 11,250)*2.25

variable overhead efficiency variance= $562.5 unfavorable

3 0
3 years ago
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