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nignag [31]
2 years ago
7

What is 10x10? I really need some help please and thank you.

Mathematics
2 answers:
REY [17]2 years ago
6 0
Br uh it’s 100 thx for the points
kondor19780726 [428]2 years ago
3 0

Answer:100

Step-by-step explanation:10x10=100 if you dont understandhow to do it you can just add 10,10times. 10+10+10+10+10+10+10+10+10+10=100.Hope this helps.

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At the time of liquidation, Fairchild Company reported assets of $200,000, liabilities of $120,000, common stock of $90,000 and
larisa [96]

Answer:

c) $90.000

Step-by-step explanation:

common stock is easy to sell, but is not real money at the time of liquidation.

Assets are count as  money , but  is necessary to pay de debts, (liabilities).

At the time of liquidation, $200.000 (assets) -$120.000 (liabilities) = $80.000

+ Retained earnings ($10.000) = $90.000 .

7 0
4 years ago
How many wholes are in 11/3?
lesantik [10]
There are 3 holes because if you do 4 thats to high cuz you would get 12 hope this is what you mean
5 0
2 years ago
I have no idea what the answer is or how to get it.
Lostsunrise [7]

I can't see the question

5 0
3 years ago
The CEO of a clothing company estimates that 52% of customers will make a purchase. Part A: How many customers should a salesper
4vir4ik [10]

Answer:

(a) The expected number of should a salesperson expect until she finds a customer that makes a purchase is 0.9231.

(b) The probability that a salesperson helps 3 customers until she finds the first person to make a purchase is 0.058.

Step-by-step explanation:

Let<em> </em>the random variable <em>X</em> be defined as the number of customers the salesperson assists before a customer makes a purchase.

The probability that a customer makes a purchase is, <em>p</em> = 0.52.

The random variable <em>X</em> follows a Geometric distribution since it describes the distribution of the number of trials before the first success.

The probability mass function of <em>X</em> is:

P(X=x)=(1-p)^{x}p

The expected value of a Geometric distribution is:

E(X)=\frac{1-p}{p}

(a)

Compute the expected number of should a salesperson expect until she finds a customer that makes a purchase as follows:

E(X)=\frac{1-p}{p}

         =\frac{1-0.52}{0.52}\\=0.9231

This, the expected number of should a salesperson expect until she finds a customer that makes a purchase is 0.9231.

(b)

Compute the probability that a salesperson helps 3 customers until she finds the first person to make a purchase as follows:

P(X=3)=(1-0.52)^{3}\times0.52\\=0.110592\times 0.52\\=0.05750784\\\approx 0.058

Thus, the probability that a salesperson helps 3 customers until she finds the first person to make a purchase is 0.058.

8 0
4 years ago
19.
ziro4ka [17]

Answer:

B. y= -3x2 + 3

Step-by-step explanation:

y= -3^2+3

4 0
3 years ago
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