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Ganezh [65]
3 years ago
7

224% of 320 equals ?

Mathematics
2 answers:
anyanavicka [17]3 years ago
6 0
The answer is 768. Now work back.
Lady bird [3.3K]3 years ago
5 0
716.8 is the right answer 
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What value of x makes this statement true?<br><br> 3x = 2x+12
saul85 [17]

Answer:

x=12

Step-by-step explanation:

3x=2x+12

3x-2x=12

x=12

4 0
3 years ago
Read 2 more answers
... the product of the width and the height...
irga5000 [103]

Step-by-step explanation:

The product of <em>a</em> and <em>b</em> is equal to <em>a · b.</em>

Let <em>w - width</em> and <em>l - length</em>, then the product of the width and the lenght is

<em>w · h = wh</em>

7 0
3 years ago
We have n = 100 many random variables Xi ’s, where the Xi ’s are independent and identically distributed Bernoulli random variab
777dan777 [17]

Answer:

(a) The distribution of X=\sum\limits^{n}_{i=1}{X_{i}} is a Binomial distribution.

(b) The sampling distribution of the sample mean will be approximately normal.

(c) The value of P(\bar X>0.50) is 0.50.

Step-by-step explanation:

It is provided that random variables X_{i} are independent and identically distributed Bernoulli random variables with <em>p</em> = 0.50.

The random sample selected is of size, <em>n</em> = 100.

(a)

Theorem:

Let X_{1},\ X_{2},\ X_{3},...\ X_{n} be independent Bernoulli random variables, each with parameter <em>p</em>, then the sum of of thee random variables, X=X_{1}+X_{2}+X_{3}...+X_{n} is a Binomial random variable with parameter <em>n</em> and <em>p</em>.

Thus, the distribution of X=\sum\limits^{n}_{i=1}{X_{i}} is a Binomial distribution.

(b)

According to the Central Limit Theorem if we have an unknown population with mean <em>μ</em> and standard deviation <em>σ</em> and appropriately huge random samples (<em>n</em> > 30) are selected from the population with replacement, then the distribution of the sample mean will be approximately normally distributed.  

The sample size is large, i.e. <em>n</em> = 100 > 30.

So, the sampling distribution of the sample mean will be approximately normal.

The mean of the distribution of sample mean is given by,

\mu_{\bar x}=\mu=p=0.50

And the standard deviation of the distribution of sample mean is given by,

\sigma_{\bar x}=\sqrt{\frac{\sigma^{2}}{n}}=\sqrt{\frac{p(1-p)}{n}}=0.05

(c)

Compute the value of P(\bar X>0.50) as follows:

P(\bar X>0.50)=P(\frac{\bar X-\mu_{\bar x}}{\sigma_{\bar x}}>\frac{0.50-0.50}{0.05})\\

                    =P(Z>0)\\=1-P(Z

*Use a <em>z</em>-table.

Thus, the value of P(\bar X>0.50) is 0.50.

8 0
3 years ago
PLEASE GUYS HELP QUICK. PLEASE DO EVERYTHING IT ASKS YOU TO DO show work and ect , I'M OFFERING 11PTS ( More than its worth) And
saw5 [17]
110-8.75=  101.25. 101.25 divided by 9 = 11.25. Each pizza cost 11.25

3 0
3 years ago
It takes 1 1/2 hours to fill 1/2 of a tank how long will it take to fill 2 tanks completely
Likurg_2 [28]

Answer:

15

Step-by-step explanation:

hope this helps

4 0
2 years ago
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