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mariarad [96]
3 years ago
13

( Multiple Questions)

Mathematics
1 answer:
tankabanditka [31]3 years ago
8 0

They are both equal I think C.

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Suppose that the probabilities are 0.4, 0.3, 0.2, and 0.1, respectively, that 0, 1, 2, or 3 power failures will strike a certain
defon

Answer:

mean = 1 power failure

variance = 1 (power failure)²

Step-by-step explanation:

Since the mean is computed as

mean = E(x) = ∑ x * p(x) for all x

then for the random variable x=power failures , we have

mean = ∑ x * p(x) = 0 * 0.4 + 1* 0.3 + 2*0.2 + 3* 0.1 = 1 power failure

since the variance can be calculated through

variance =  ∑[x-E(x)]² * p(x) for all x

but easily in this way

variance = E(x²) -  [E(x)]² , then

E(x²) = ∑ x² * p(x) = 0² * 0.4 + 1²* 0.3 + 2²*0.2 + 3²* 0.1 = 2 power failure²

then

variance = 2 power failure² - (1 power failure)² = 1 power failure²

therefore

mean = 1 power failure

variance = 1 power failure²

7 0
3 years ago
What is the relationship between the base angles of an isosceles triangle?
Mashutka [201]
If the 2 base angles are congruent then the two opposite sides are congruent
4 0
2 years ago
Factor:
Naddik [55]

Answer:

D) (5x - 3) (25x^2+ 15x + 9)

Step-by-step explanation:

125 {x}^{3}  - 27 \\  \\  = ( {5x)}^{3}  -  {(3)}^{3}  \\  \\  = (5x - 3) \{(5x) ^{2}  + 5x \times 3 + ( {3})^{2}  \}\\  \\  = (5x - 3) \{25 {x}^{2}  + 15x  + 9\}

3 0
2 years ago
What is 260% of 6 <br> is it 3.6<br> is it 9.6<br> is it 15.6<br> or is it 21.6
Arte-miy333 [17]
The answer is (C) 15.6. 260% of 6 is 6 * 2.6.
7 0
3 years ago
Read 2 more answers
You look at real estate ads for houses in Naples, Florida. There are many houses ranging from $200,000 to $500,00 in price. The
cricket20 [7]

Answer:

c) skewed to the right.

Step-by-step explanation:

We need to remember that is a distribution is skewed to the right then we have the following condition satisfied:

Mode< Median

And if is skewed to the left then we have:

Mean

If the distribution is symmetric we need to satisfy:

Mean = Median=Mode

For this case since we have most of the values between 200000 and 500000 when we put atypical values like 15000000 that would affect the sample mean and on this case the sample mean would larger than the sample median because the median is a robust measure of central tendency not affected by outliers.

So for this special case we can say that the Mean>Median. And probably the median would be higher than the mode so then we can conclude that the best answer for this case would be:

c) skewed to the right.

5 0
3 years ago
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