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bixtya [17]
3 years ago
7

Someone please, please, please help!!!!

Mathematics
1 answer:
hichkok12 [17]3 years ago
6 0
I think it to be the second choice. Hope it helps!!!
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Solve by using sign chart <br> 1/5k-1&lt;1/10k-2-k-5/10k-2
-Dominant- [34]

Answer:

K=5

Step-by-step explanation:

3 0
3 years ago
If 14 out of 20 like chocolate then how many people dislike chocolate?
Masteriza [31]
You know from the given information, there are 20 people in total. 
When asked 14 people stated that they liked chocolate. This leaves a group of people out of 20 who do not like chocolate. 

20-14=6 

You know from this that 6 people do not like chocolate while 14 of them do 

Hope I helped :) 
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3 years ago
Name the song
marta [7]

Answer:

39

Step-by-step explanation:

median is the middle number

12, 21, 21, 23, 34, 34, 34, 44, 45, 56, 72, 86, 97, 98

34-44=10

10/2=5

34+5=39

39

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3 years ago
How do larger multiplicities affect the<br> graph of the polynomial
valentina_108 [34]
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7 0
4 years ago
One year Thomas had the lowest ERA (earned-run average, mean number of runs yielded per nine inning pitched) of any male pitcher
valkas [14]

Answer:

Thomas had an ERA with a z-score of -2.82.

Karla had an ERA with a z-score of -2.81.

Thomas had the better year compared with his peers, since his ERA had the lower Zscore.

Step-by-step explanation:

Problems of normally distributed samples 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 ERA is the Earned Runs Average per 9 innings. This mean that the lower the ERA is, the better it is. So, between Thomas and Karla, whoever has the lower Zscore had the better season.

Thomas

For the males, the mean ERA was 4.837 and the standard deviation was 0.541. This means that \mu = 4.837, \sigma = 0.541.

Thomas ERA was 3.31. This means that X = 3.31

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

Z = \frac{3.31 - 4.837}{0.541}

Z = -2.82

Thomas had an ERA with a z-score of -2.82.

Karla

For Females, the mean ERA was 4.533 and the standard deviation was 0.539. This means that \mu = 4.533, \sigma = 0.539.

Karla ERA was 3.02. So X = 3.02.

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

Z = \frac{3.02 - 4.533}{0.539}

Z = -2.81

Karla had an ERA with a z-score of -2.81

Which player had a better year in comparison with their peers?

Thomas had the better year compared with his peers, since his ERA had the lower Zscore.

6 0
3 years ago
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