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3 years ago

Strong language often means

2 answers:

8 0

The answer is b.

Strong language often means strong feelings on the side of the speaker. Strong language is another way of saying vulgar or foul language, and is usually used by people who are angry.

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Finger [1]3 years ago

5 0

Strong language often mean strong feelings.

Further Explanation:

strong feeling:

Strong feelings would be ones that involved your considerations for an excessive measure of time. Solid sentiments would be ones that could be overpowering... as in you can't consider whatever else BUT what you feel firmly about. Solid sentiments can make you act genuinely rather than reasonably.

Strong feelings model:

• Fear → feeling of being apprehensive, alarmed, frightened.

• Anger → feeling irate.

• Sadness → feeling tragic.

• Joy → feeling cheerful.

• Disgust → feeling something isn't right or frightful.

• Surprise → being not ready for something.

• Trust → a positive feeling; adoration is more grounded; acknowledgment is more fragile.

most grounded feelings:

That is the most grounded that it can ever get. Numerous individuals accept there are many emotions more grounded than dread, and that is valid in the event that it is a steady dread. Be that as it may, unexpected, painful dread is unconquerable. In any case, that sort of dread does not keep going long and would then be able to be overwhelmed by feelings, for example, outrage or love.

Main feelings:

A couple of various hypotheses have developed to arrange and clarify the feelings that individuals feel. ... The feelings he recognized were satisfaction, trouble, appall, dread, shock, and outrage. He later extended his rundown of fundamental feelings to incorporate such things as pride, disgrace, shame, and energy.

Subject: business

Level: High School

Keywords: strong feeling, Strong feelings model, most grounded feelings, Main feelings.

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Answer:

Level of sales in dollars in order to generate a profit of $54,000 Fixed cost + Target profit/Contribution per unit $270,000 + $54,0000/0.75

= $432,000

Number of units to be sold

= Level of sales/Selling price

= $432,000/$36

= 12,000 units

The correct answer is A

Explanation:

In this case, we need to calculate level of sales in dollars, which is fixed cost plus target profit divided by contribution margin ratio. Then, we will calculate no of units to be sold, which is the level of sales divided by selling price.

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2 years ago

You are the manager of a clothing store. You must decide how many of your employees to put on the sales floor, and how many to p

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Answer:

c. 60 on the sales floor, 24 on the register.

Explanation:

Given that

The total number of employees to manage is 84

and w assume that the no of employees on the sales floor after having division be x

also the given condition is that there should be minimum of 2 employees for every 5 employees that worked on the sales floor

So that means

x ÷84 = 5 ÷ (5 + 2)

after solving this x = 60

So the no of employees on register is

= 84 - 60

= 24

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2 years ago

The supply of aged cheddar cheese is inelastic, and the supply of flour is elastic. Both goods are considered to be normal goods

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The average price of homes sold in the U.S. in 2012 was $240,000. A sample of 144 homes sold in Chattanooga in 2012 showed an av

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Answer:

H0 : Average price of homes sold in US = 24000 ; H1 : Average price of homes sold in US ≠ 24000

t calculated value = 2 , t critical (tabulated) value = 1.96

calculated t > critical t . Null Hypothesis is rejected, It is concluded that 'Average price of homes sold in US ≠ 24000 '

Explanation:

Null Hypothesis : Average price of homes sold in US = 24000

Alternate Hypothesis : Average price of homes sold in US ≠ 24000

t = (x' - u) / (s / √n)

x' = sample mean = 246000 (given)

u = population mean = 240000 (given)

s = standard deviation = 36000

n = no. of observations = 144

t = (246000 - 240000) / (36000/√144)

6000/ (36000/12000) = 6000/3000

t = 2

Critical value for a two tailed test at 5% significance level, 0.025 in t distribution = 1.96

Since calculated value, 2 > tabulated or critical value at significance level, 1.96. So, we reject the null hypothesis. This implies that 'Average price of homes sold in US ≠ 24000'

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