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Lorico [155]
4 years ago
13

What's the Mean Absolute Deviation of 46,35,39,33,25,26

Mathematics
2 answers:
Fudgin [204]4 years ago
8 0
<span>Mean Absolute Deviation (MAD): 6</span>
ryzh [129]4 years ago
8 0

Answer:

6

Step-by-step explanation:

Mean: 46 + 35 + 39 + 33 + 25 + 26 = 204/6 = 34

34 - 46 = 12

34 - 35 = 1

34 - 39 = 5

34 - 33 = 1

34 - 25 = 9

34 - 26 = 8

Mean Absolute Deviation: 12 + 1 + 5 + 1 + 9 + 8 = 36/6 = 6

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What is the slope of the line that passes through:<br> (6,5) and (-1,-4)<br><br><br> Thank You!
My name is Ann [436]

Answer:

m=\frac{9}{7}

Step-by-step explanation:

Slope Formula: m=\frac{y_2-y_1}{x_2-x_1}

Simply plug in the 2 coordinates into the slope formula to find slope <em>m</em>:

m=\frac{-4-5}{-1-6}

m=\frac{-9}{-7}

m=\frac{9}{7}

6 0
4 years ago
HELP PLEASE, WILL GIVE BRAINLIEST. WHOLE PAGE
lana [24]

Answer:

Attached in file. I did this on paper, apologies if the PDF is blurry.

Download pdf
8 0
3 years ago
Suppose that 16% of the population of the U.S. is left-handed. If a random sample of 170 people from the U.S. is chosen, approxi
Shalnov [3]

Answer:

0.6064 = 60.64% probability that fewer than 29 are left-handed.

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

16% of the population of the U.S. is left-handed.

This means that p = 0.16

Sample of 170 people

This means that n = 170

Mean and standard deviation:

\mu = E(X) = np = 170*0.16 = 27.2

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{170*0.16*0.84} = 4.78

Probability that fewer than 29 are left-handed.

Using continuity correction, this is P(X < 29 - 0.5) = P(X < 28.5), which is the pvalue of Z when X = 28.5. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{28.5 - 27.2}{4.78}

Z = 0.27

Z = 0.27 has a pvalue of 0.6064

0.6064 = 60.64% probability that fewer than 29 are left-handed.

6 0
3 years ago
3(-2x-7)=15 please show the work
bija089 [108]

Answer:

3(-2x-7) = 15

-6x-21=15

-6x=-6

x=1

5 0
4 years ago
(x+ 1 3/7 )-4 3/7=-5.8
katrin2010 [14]

Answer:

x=-2.8

Step-by-step explanation:

This answer is right if all the numbers are mixed fractions.

6 0
3 years ago
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