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Ivan
3 years ago
9

In one flip of 10 unbiased coins, what is the probability of getting 8 or more heads?

Mathematics
1 answer:
Maru [420]3 years ago
6 0
Correct Answer: 0.0625
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What do I do? what's Ax??
Liono4ka [1.6K]

A=\left[\begin{array}{ccc}5&-4\\3&6\end{array}\right] \\\\A_x=\left[\begin{array}{ccc}12&-4\\66&6\end{array}\right]

|A_x|=\left|\begin{array}{ccc}12&-4\\66&6\end{array}\right|=(12)(6)-(66)(-4)=72+264=336

5 0
3 years ago
What is the coefficient of x in expansion of (2x-4)^2 ?
Sunny_sXe [5.5K]

Answer:

2

Step-by-step explanation:

the one which is near to x

8 0
2 years ago
You put $643 into an investment at 3% for one year. What will the balance (total amount) be
baherus [9]

Answer:

$662.29

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
X+y+z=2<br> 5x+5y+5z=3<br> 4x+y-3z=-6
aniked [119]

Answer:

:)

Step-by-step explanation:

Examples: 1+2, 1/3+1/4, 2^3 * 2^2

(x+1)(x+2) (Simplify Example), 2x^2+2y a x=5, y=3 (Evaluate Example)

y=x^2+1 (Graph Example), 4x+2=2(x+6) (Solve Example)

5 0
3 years ago
The operating costs for each machine for one day have an unknown distribution with mean 1610 and standard deviation 136 dollars.
BabaBlast [244]

Answer:

20.27

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

Using the Central Limit Theorem for Means, what is the standard deviation for the sample mean distribution?

This is s when \sigma = 136, n = 45. So

s = \frac{136}{\sqrt{45}} = 20.27

So the correct answer is:

20.27

3 0
3 years ago
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