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nexus9112 [7]
4 years ago
9

Helpppppppp plz!!!!!!​

Mathematics
1 answer:
UkoKoshka [18]4 years ago
7 0
Exponential. A is the answer
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Suppose that you expect SugarCane stock price to decline. So you decide to ask your broker to short sell 2000 shares. The curren
Liono4ka [1.6K]

Answer:

Loss = $80000

Step-by-step explanation:

To determine if it's a profit or loss is simple.

He predicted the sugar cane stock to fall so he sold , but few days later the stock grew and went bullish.

He sold at$ 40 for 2000 shares

=$ 80000

But the stock went up to $80 per share that is gaining extra $40

So it was actually a loss.

The loss is =$40 * 2000

The loss = $80000

3 0
4 years ago
I really need help with this, my teacher doesn't really teach and I'm stumped again.​
yarga [219]

Answer:

JMK = 54

JKH = 126

HLK = 90

HJL = 27

LHK = 63

JLK = 27

Step-by-step explanation:

Just use 180 for total angles in each triangle. Vertical angles mean the opposite to 126 is 126 and the other two that make up the inner vertices are (360- 126*2)/2 = 54

So, 126, `16, 54 , 54 are the inner angles in the circle. Just go from there.

5 0
3 years ago
Factor the expression x-x^2y^2
ivann1987 [24]

Factor the expression x-x^2y

5 0
3 years ago
Math: Data and Modeling: Graphs
siniylev [52]

Answer:

what do i do i can see the picture but when i click

Step-by-step explanation:

it just showes the graph

5 0
3 years ago
In a recent year, the Better Business Bureau settled 75% of complaints they received. (Source: USA Today, March 2, 2009) You hav
ANEK [815]

Answer:

The probability that the sample proportion will be at least 3 percent more than the population proportion is 0.6157

Step-by-step explanation:

We need sample proportion between 0.75 - 0.03 = 0.72 and 0.75 +0.03 = 0.78. Here we have p = 0.75 and n= 158.

So z-score for sample proportion q = 0.72

z = \frac{q - p}{\sqrt{\frac{p(1-p)}{n} } } = \frac{0.72 - 0.75}{\sqrt{\frac{0.75(1-0.75)}{158} } } = - \frac{0.03}{0.0344} = - 0.872

So z-score for sample proportion q = 0.78

z= \frac{q - p}{\sqrt{\frac{p(1-p)}{n} } } = \frac{0.78 - 0.75}{\sqrt{\frac{0.75(1-0.75)}{158} } } =  \frac{0.03}{0.0344} = 0.872

Therefore the probability that the sample proportion will be within 3 percent of the population proportion is

P( 0.72 < q < 0.78) = P ( -0.872 < z < 0.872)

= P( z < 0.872) - P( z < -0.872)

= 0.80785 - 0.19215

= 0.6157

8 0
3 years ago
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