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LenaWriter
1 month ago
10

There are 200 students in the 7th grade class at Brookside Middle School. Of these students, 12% play volleyball and 15% play ba

seball. four students play on both teams. What is the probability that a student plays either volleyball or baseball?
a.27%
b.25%
c.22%
d.30%
Mathematics
2 answers:
Leona [12.6K]1 month ago
6 0

Response:

Choice B

Detailed breakdown:

With 200 students in total in the 7th grade

The percentage of volleyball players is 12% = 24

The percentage of baseball players is 15% = 30

Those who play both sports are 4

We need to determine the probability of a student being involved in either volleyball or baseball

The count of students who play either sport is

24+30-4= 50

The probability for a student playing either volleyball or baseball

=\frac{50}{200} =0.25

Expressed as a percentage, this equals 25%

So, option b

Svet_ta [12.7K]1 month ago
4 0
P(volleyball and baseball) = 4/200 x 100 = 2%
P(volleyball or baseball) = P(volleyball ∪ baseball) = P(volleyball) + P(baseball) - P(volleyball and baseball) = 12% + 15% - 2% = 25%.

Thus, 25% of students participate in either volleyball or baseball.
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Answer:

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172+2.51\frac{16}{\sqrt{23}}=180.374

Hence, in this case, the 98% confidence interval would be (163.626;180.374)    

Step-by-step breakdown:

Previous concepts

A confidence interval represents a range that is likely to encompass a population value within a specific confidence level, typically expressed as a percentage whereby a population mean falls between an upper and lower limit.

The margin of errorindicates the span of values surrounding the sample statistic in a confidence interval.

A normal distributionillustrates a probability distribution that is symmetrical around the mean, signifying that values near the mean occur more frequently than those farther away from it.

\bar X=172 denote the sample mean

\mu population mean (the variable of interest)

s=16 signifies the sample standard deviation

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The solution to the query

The equation for the confidence interval of the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

To determine the critical value t_{\alpha/2}, we first need to calculate the degrees of freedom, which is expressed as:

df=n-1=23-1=22

Since the confidence level is 0.98 or 98%, we find the value of \alpha=0.02 and \alpha/2 =0.01 using tools like Excel or a calculator, where the Excel command would be: "=-T.INV(0.01,22)". This yields t_{\alpha/2}=2.51

Having all components ready, we can substitute into formula (1):

172-2.51\frac{16}{\sqrt{23}}=163.626    

172+2.51\frac{16}{\sqrt{23}}=180.374

Thus, for this case, the 98% confidence interval will be (163.626;180.374)    

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Step-by-step explanation:

* Let's break down how to tackle the problem.

- For the level 3 course, examination hours are priced at double that of workshop hours.

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