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slega [8]
3 years ago
13

(50,3)

Mathematics
1 answer:
anzhelika [568]3 years ago
4 0

Answer: 2/5

Step-by-step explanation:

slope = change in y/change in x (y2-y1/x2-x1)

slope (using points (50,3) and (60,7)) = 7-3/60-50 = 2/5

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Answer this question if you love Steve being in smash Bros ultimate​
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yes

Step-by-step explanation:

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3 years ago
Read 2 more answers
Which measure of variability provides the most meaningful information about the following set of scores? Set of scores: 12, 12,
Alexus [3.1K]

Answer:

Median

Step-by-step explanation:

Median. Median in this case will give the most meaningful information about this data set.

<em>Reason</em>: There is at least one extreme score,32, in the distribution. It is an outlier that has a great effect on the mean:-

m_9=\frac{148}{9}=16.44\\m_8=\frac{116}{8}=14.5   \ *11.8\% \ drop \ in \ mean.\\Median_9=15\\Median_8=14.5   \ *just \ a \ 3\% \ drop \ in \ median

Hence median will give the most meaningful info about this data set

   

3 0
3 years ago
PLEASEEEE HELPPPPPP ASAPPPPP
Burka [1]

Answer:

7.07

Step-by-step explanation:

Angle M is 63 degrees because all 3 angles must add to 180.  

Now use the law of sines:  

sin(90)/x = sin(63)/6.3  

Cross multiply: 6.3 sin (90) = x sin (63)  

Divide by sides by sin (63): (6.3 sin (90))/sin (63) = x  

Use a calculator: 7.07

5 0
3 years ago
One year josh had the lowest ERA​ (earned-run average, mean number of runs yielded per nine innings​ pitched) of any male pitche
Anna11 [10]

Answer:

Josh's ERA had a z-score of -3.26.

Alice's ERA had a z-score of -1.11.

Due to the lower z-score(ERA is a stat that the lower the better), Josh had a better year relative to his peers.

Step-by-step explanation:

Z-score:

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Josh:

ERA of 2.89, mean of 5.083, standard deviation of 0.672. So

X = 2.89, \mu = 5.083, \sigma = 0.672, and the z-score is:

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

Z = \frac{2.89 - 5.083}{0.672}

Z =  -3.26

Josh's ERA had a z-score of -3.26.

Alice:

ERA of 3.31, mean of 4.032, standard deviation of 0.649. So

X = 3.31, \mu = 4.032, \sigma = 0.649, and the z-score is:

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

Z = \frac{3.31 - 4.032}{0.649}

Z =  -1.11

Alice's ERA had a z-score of -1.11.

Which player had the better year relative to their​ peers, josh or alice ?

Due to the lower z-score(ERA is a stat that the lower the better), Josh had a better year relative to his peers.

8 0
3 years ago
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