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kramer
3 years ago
6

Inflation is measured by a nation's Gross Domestic Product number. True False

Business
2 answers:
Alenkasestr [34]3 years ago
6 0

Answer:

True

Explanation:

Just search it up

almond37 [142]3 years ago
4 0
Answer is true
I hope it was helpful
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Buckshot Electronics is a chain of electronics superstores that is located throughout California. They have 15 locations concent
prisoha [69]

Answer:

Explanation:

Given that:

annual demand = 7800 units

wholesale price = $325

retail price = 399

The per-unit cost for each item = $399 per unit

The annual cost to purchase the items = Annual demand × wholesale price

= annual demand × price of the wholesales

= 7800 × 325

= $2535000

8 0
3 years ago
T/F: The theory of purchasing-power parity states that a unit of a country's currency should be able to buy the same quantity of
balandron [24]

Answer: The statement is  <u>TRUE.</u>

Explanation: The theory of purchasing-power parity is an economic theory that tries to calculate the exchange rate between the currencies of two countries necessary so that the same basket of goods and services can be purchased in the currency of each one, that is, so that the purchasing power (or purchasing power) ) of both currencies is equivalent.

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3 years ago
The fed currently focuses monetary policy on the
kupik [55]
The fed currently focuses monetary policy on the ; Federal funds rate
7 0
3 years ago
The College Board reported the following mean scores for the three parts of the Scholastic Aptitude Test (SAT) (The World Almana
storchak [24]

Answer:

a) P(492

And we can use excel or the normal standard table to find this probability:

P(-0.949 < Z< 0.949)= P(Z

b) P(505

And we can use excel or the normal standard table to find this probability:

P(-0.949 < Z< 1.898)= P(Z

c) P(484

And we can use excel or the normal standard table to find this probability:

P(-1 < Z< 1)= P(Z

Explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable that represent the scores for critical reading of a population, and for this case we know the distribution for X is given by:

X \sim N(502,100)  

Where \mu=502 and \sigma=100

We select a sample of size n=90, since the distribution for X is normal then the distribution for the sample size is also normal

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}}=\frac{100}{\sqrt{90}}=10.54)

And for this case we want this probability:

P(502-10 < \bar X < 502+10)

And for this case we can use the z score given by:

z= \frac{\bar X -\mu}{\sigma_{\bar x}}

And if we use this formula we got:

P(492

And we can use excel or the normal standard table to find this probability:

P(-0.949 < Z< 0.949)= P(Z

Part b

Let X the random variable that represent the scores for Math of a population, and for this case we know the distribution for X is given by:

X \sim N(515,100)  

Where \mu=515 and \sigma=100

We select a sample of size n=90, since the distribution for X is normal then the distribution for the sample size is also normal

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}}=\frac{100}{\sqrt{90}}=10.54)

And for this case we want this probability:

P(515-10 < \bar X < 515+10)

And for this case we can use the z score given by:

z= \frac{\bar X -\mu}{\sigma_{\bar x}}

And if we use this formula we got:

P(505

And we can use excel or the normal standard table to find this probability:

P(-0.949 < Z< 1.898)= P(Z

Part c

Let X the random variable that represent the scores for Writing of a population, and for this case we know the distribution for X is given by:

X \sim N(494,100)  

Where \mu=494 and \sigma=100

We select a sample of size n=100, since the distribution for X is normal then the distribution for the sample size is also normal

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}}=\frac{100}{\sqrt{100}}=10)

And for this case we want this probability:

P(494-10 < \bar X < 494+10)

And for this case we can use the z score given by:

z= \frac{\bar X -\mu}{\sigma_{\bar x}}

And if we use this formula we got:

P(484

And we can use excel or the normal standard table to find this probability:

P(-1 < Z< 1)= P(Z

3 0
3 years ago
You are a Marketing Director for a cruise line. Which operates Luxurious Ships, with excellent service and cuisine, how would yo
netineya [11]

One can identify the most promising distributors by:

  • Looking at their credit history and others to check their Financial stability Also examine their size in terms of outside and inside sales power, selling skills, competence and others to know their Sales and marketing strength.
  • Evaluate their past sales history in terms of same or similar cuisines to know their Sales performance and then rate them in their order of importance,

<h3>How do one evaluate Potential Distributors?</h3>

This is done by;

  • Lookin for their Financial stability through credit history, being timely in payments, and others.
  • Looking their Sales and marketing capabilities.
  • Looking at their service delivery and Sales performance.

Note that One can identify the most promising distributors by checking their credit history and examine of all their past sales history to be able to tell their Sales performance.

Learn more about  Marketing Director from

brainly.com/question/14351794

#SPJ1

3 0
2 years ago
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