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Xelga [282]
3 years ago
14

PLEASE EXPLAIN YOUR ANSWER

Mathematics
1 answer:
umka21 [38]3 years ago
7 0

Answer:

equivalent to 58/100

and 58%

Step-by-step explanation:

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Solve by factoring: 2x2 - 5x - 12 = 0
Zepler [3.9K]

Step-by-step explanation:

2 {x}^{2}  - 5x - 12

2 {x}^{2}   - 8x  + 3x - 12

2x(x - 4) + 3(x - 4)

2x  + 3 = 0 \:  \: x - 4 = 0

x =  \frac{ - 3}{2}  \:  \: x =4

5 0
3 years ago
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The following data pairs represent the average temperature x (in degrees Fahrenheit) and electricity
elena55 [62]

Answer:

<u>The correct answer is C. r = 0 because is most likely the closest to the correlation coefficient of the data.</u>

Step-by-step explanation:

Using Excel, we captured the data provided for the 12 different homes for calculating the correlation coefficient manually, this way:

n = 12

∑x = 904

∑y = 2,169

∑xy = 167,532

∑x² = 69,552

∑y² = 404,615

r =  [n *∑xy  - (∑x * ∑y)]/[√(n * ∑x² - (∑x)²) * (n * ∑y²  - (∑y)²)]

Replacing with the real values, we have:

r = [12 * 167,532  - (904 * 2,169)]/[√(12 * 69,552 - 904²) * (12 * 404,615  - 2,169²)]

r = [2'010,384  -1'960,776]/[√(834,624 - 817,216) * (4'855,380  - 4'704,561]

r = 49,608/√17,408 * 150,819

r = 49,608/ 51'239.215

r = 0.00097

<u>The correct answer is C. r = 0 because is most likely the closest to the correlation coefficient of the data.</u>

4 0
3 years ago
Read 2 more answers
I just need help at this point.
Greeley [361]

Answer:

Step-by-step explanation:you take the 740 and divide it by 40 to get the hourly wage then times that by the 32 and theirs your answer

4 0
3 years ago
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Find the mean, variance &amp;a standard deviation of the binomial distribution with the given values of n and p.
MrMuchimi
A random variable following a binomial distribution over n trials with success probability p has PMF

f_X(x)=\dbinom nxp^x(1-p)^{n-x}

Because it's a proper probability distribution, you know that the sum of all the probabilities over the distribution's support must be 1, i.e.

\displaystyle\sum_xf_X(x)=\sum_{x=0}^n\binom nxp^x(1-p)^{n-x}=1

The mean is given by the expected value of the distribution,

\mathbb E(X)=\displaystyle\sum_xf_X(x)=\sum_{x=0}^nx\binom nxp^x(1-p)^{n-x}
\mathbb E(X)=\displaystyle\sum_{x=1}^nx\frac{n!}{x!(n-x)!}p^x(1-p)^{n-x}
\mathbb E(X)=\displaystyle\sum_{x=1}^n\frac{n!}{(x-1)!(n-x)!}p^x(1-p)^{n-x}
\mathbb E(X)=\displaystyle np\sum_{x=1}^n\frac{(n-1)!}{(x-1)!((n-1)-(x-1))!}p^{x-1}(1-p)^{(n-1)-(x-1)}
\mathbb E(X)=\displaystyle np\sum_{x=0}^n\frac{(n-1)!}{x!((n-1)-x)!}p^x(1-p)^{(n-1)-x}
\mathbb E(X)=\displaystyle np\sum_{x=0}^n\binom{n-1}xp^x(1-p)^{(n-1)-x}
\mathbb E(X)=\displaystyle np\sum_{x=0}^{n-1}\binom{n-1}xp^x(1-p)^{(n-1)-x}

The remaining sum has a summand which is the PMF of yet another binomial distribution with n-1 trials and the same success probability, so the sum is 1 and you're left with

\mathbb E(x)=np=126\times0.27=34.02

You can similarly derive the variance by computing \mathbb V(X)=\mathbb E(X^2)-\mathbb E(X)^2, but I'll leave that as an exercise for you. You would find that \mathbb V(X)=np(1-p), so the variance here would be

\mathbb V(X)=125\times0.27\times0.73=24.8346

The standard deviation is just the square root of the variance, which is

\sqrt{\mathbb V(X)}=\sqrt{24.3846}\approx4.9834
7 0
3 years ago
100 divided by 32 will give brainliest
Paha777 [63]

Answer: 3.125

Step-by-step explanation:

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