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Vinil7 [7]
3 years ago
14

According to scientific research, the probability that a person between the ages of 20 and 25 having high blood pressure, is onl

y 17 %. In a random survey of 10 people in this age group, what is the probability that two or fewer have high blood pressure?
Mathematics
1 answer:
boyakko [2]3 years ago
4 0

Answer:

<h2>The probability is {\frac{83}{100} }^9 \times \frac{17}{100} + {\frac{83}{100} }^8 \times {\frac{17}{100} }^2 + {\frac{83}{100} }^{10}.</h2>

Step-by-step explanation:

The probability of having high blood pressure is 17%.

We need to find the probability of 2 or fewer have high blood pressure.

Possibility 1: No one have high blood pressure.

The probability is {\frac{100 -17}{100} }^{10} = {\frac{83}{100} }^{10}.

Possibility 2: Only one have high blood pressure.

The probability is {\frac{83}{100} }^9 \times \frac{17}{100}.

Possibility 3: 2 among the 10 have the high blood pressure.

{\frac{83}{100} }^8 \times {\frac{17}{100} }^2.

Any of the possibilities can happen.

Hence, the required probability is {\frac{83}{100} }^9 \times \frac{17}{100} + {\frac{83}{100} }^8 \times {\frac{17}{100} }^2 + {\frac{83}{100} }^{10}.

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Judy pays $29 for 8 gallons of gas and 2 bottles of water. Carmen pays $45 for 12 gallons of gas and 4 bottles of water. How muc
Dmitry [639]
G=gas
w=bottle of water

8g + 2w = 29
12g + 4w = 45
I'm going to use elimination to cancel out the variable w by multiplying the first equation by -2.

-16g - 4w = -58
12g + 4w = 45
-4g = -13
/-4 /-4
g = 3.25

Now plug it into an equation, any equation.
8 (3.25) + 2w = 29
26 +2w=29
w=1.5
Now to check, plug it into both equations if you want.

12 (3.25) + 4 (1.5)=45
39 + 6=45

One bottle of water is $1.50, while one gallon of gas is $3.25.
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4 years ago
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FromTheMoon [43]

Answer:

79.5

Step-by-step explanation:

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3 years ago
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Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
The ability to find a job after graduation is very important to GSU students as it is to the students at most colleges and unive
gtnhenbr [62]

Answer: (0.8468, 0.8764)

Step-by-step explanation:

Formula to find the confidence interval for population proportion is given by :-

\hat{p}\pm z^*\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

, where \hat{p}  = sample proportion.

z* = Critical value

n= Sample size.

Let p be the true proportion of GSU Juniors who believe that they will, immediately, be employed after graduation.

Given : Sample size = 3597

Number of students  believe that they will find a job immediately after graduation= 3099

Then,  \hat{p}=\dfrac{3099}{3597}\approx0.8616

We know that , Critical value for 99% confidence interval = z*=2.576  (By z-table)

The 99 % confidence interval for the proportion of GSU Juniors who believe that they will, immediately, be employed after graduation will be

0.8616\pm(2.576)\sqrt{\dfrac{0.8616(1-0.8616)}{3597}}

0.8616\pm (2.576)\sqrt{0.0000331513594662}

\approx0.8616\pm0.0148\\\\=(0.8616-0.0148,\ 0.8616+0.0148)=(0.8468,\ 0.8764)

Hence, the 99 % confidence interval for the proportion of GSU Juniors who believe that they will, immediately, be employed after graduation. = (0.8468, 0.8764)

4 0
3 years ago
What are the domain and range of the function represented by the table?
agasfer [191]
The answer to your question is c
4 0
3 years ago
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