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Neko [114]
3 years ago
15

What is 1/2 times 53

Mathematics
2 answers:
drek231 [11]3 years ago
3 0
26.5 because 53 * 0.5
Mashcka [7]3 years ago
3 0
It is 26.5 because 1/2 times 53 is the same thing as 53 divided by 1/2.
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Suppose systolic blood pressure of 17 year female is approximately distributed with a mean of 118mmHg and a standard deviation o
Artemon [7]

Answer:

a) 0.383

b) 0.375

Step-by-step explanation:

a) Calculate each z-score.

z = (x − μ) / σ

z₁ = (112 − 118) / 12 = -0.5

z₂ = (124 − 118) / 12 = 0.5

Use a calculator or z-score table to find the probability.

P(-0.5 < Z < 0.5) = 0.6915 − 0.3085 = 0.383

b) 0.383 × 16 ≈ 6.  So the expected proportion would be 6/16 = 0.375.

8 0
4 years ago
1. How do I find the slope of (2,4) (4,7)
Goshia [24]

Answer: 3/2

Step-by-step explanation:

Rise over run!!!

Subtract y values, divide that by the subtracted x values.

7-4/4-2= 3/2

4 0
3 years ago
Which measurement could NOT be the perimeter of a shape?
Gekata [30.6K]
C........the one with square feet....that would be a result of multiplying
8 0
4 years ago
Suppose the skaters complete one lap around the park that has the shape of a regular pentagon, what is the sum of the angles thr
KIM [24]
That would be the same as the sum of the interior angles of the regular pentagon  which is 540 degrees.
4 0
3 years ago
A set of 20 cards consists of 12 red cards and 8 black cards. The cards are shuffled thoroughly and you choose one at random, ob
Vlad1618 [11]

Answer:

the answer D=1.44

Step-by-step explanation:

if the X= number of red cards observed in 6 trials , since each card observation is independent from the others and the sampling process is done with replacement ( the card is observed, then returned and reshuffled) , X follows an binomial distribution.

X(x)= n!/((n-x)!*x!) *p^x *(1-p)^(n-x)

where n = number of trials = 6 , x= number of red cards observed , p= probability of obtaining a red card in one try

the probability of obtaining the card in one try is

p = number of red cards / total number of cards = 12/ (12+8) = 0.6

since we know that X has a binomial distribution, the variance of this kind of distribution is

variance = σ² = n * p * (1-p)

therefore the variance of X is

variance = σ² = n * p * (1-p) = 6 * 0.6 * (1-0.6) = 1.44

 

4 0
3 years ago
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