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Debora [2.8K]
3 years ago
14

Can someone please help, ty!! (Will mark brainliest)

Mathematics
2 answers:
Natasha2012 [34]3 years ago
6 0

Answer:

3: The low score causes the mean to decrease.

Step-by-step explanation:

If you add a significantly lower number, it will bring down the overall average.

Hope this helps!

PolarNik [594]3 years ago
3 0

Answer:

Yellow is correct.

You can add the valued and divide by how many values there are to find the mean

The score of 20 is an outlier and brings the mean score down by almost 10%

Step-by-step explanation:

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It has been observed that a large percentage of professional hockey players have birthdays in the first part of the year. It has
vagabundo [1.1K]

Answer:

a

\mu  =  127

b

\sigma  =  9.76  

c

z-score  =  3.18

d

Yes, 158 players out of 508 is an unusual number of men born in the first 3 months of the year because the z score of 158  is  greater than  3( Note :the probability of  z-score = 3 is  97%)

e

The correct option is  option 3

Step-by-step explanation:

From the question we are told that

   The population proportion is  p =  0.25

   The sample size is  n =  508

   

Generally the mean is  mathematically represented as  

     \mu  =  np

=>   \mu  =  508 * 0.25

=>   \mu  =  127

Generally the standard deviation is mathematically represented as

     \sigma  =  \sqrt{ np (1-p)}

=>   \sigma  =  \sqrt{ 508 * 0.25 (1-0.25)}    

=>    \sigma  =  9.76  

Generally the z-score of  158 is mathematically represented as

    z-score  =  \frac{158 - 127}{9.76}

=>  z-score  =  \frac{158 - 127}{9.76}

=>  z-score  =  3.18

Yes, 158 players out of 508 is an unusual number of men born in the first 3 months of the year because the z score of 158  is  greater than  3( Note :the probability of  z-score = 3 is  97%)

What this means is that the almost the whole  professional hockey league player are born in the first month which is unusual

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3 years ago
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