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earnstyle [38]
3 years ago
10

What is 9/16 x 12/13 and 7/10 x 5/28

Mathematics
2 answers:
lilavasa [31]3 years ago
8 0

Answer:

1. 9/16 * 12/13 = 27/52

2. 7/10 * 5/28 = 1/8

Step-by-step explanation:

1.

9 / 16 * 12/13

9 * 12 = 108

16 * 13 = 208

108 / 208

Simplify:

27/52


2.

7 / 10 * 5 / 28

7 * 5 = 35

10 * 28 = 280

Simplify:

1/8

Snowcat [4.5K]3 years ago
3 0

Answer:

27/52 and 1/8

Step-by-step explanation:

First step is to multiply the numerators and denominators together.

9/16 x 12/13 = (9 x 12)/(16 x 13)=

108/208

Simplify by dividing by 4. (Greatest common factor)

27/52

-------------------------------------------------------------------------------------------------

multiply the numerators and denominators together.

7/10 x 5/28 = (7 x 5)/ (10 x 28)

35/280

Simplify by dividing by 35. (Greatest common factor)

1/8

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One measure of an athlete’s ability is the height of his or her vertical leap. Many professional basketball players are known fo
almond37 [142]

Answer:

(1) P(\bar X < 26 inches) = 0.0436

(2) P(27.5 inches < \bar X < 28.5 inches) = 0.2812

Step-by-step explanation:

We are given that the mean vertical leap of all NBA players is 28 inches. Suppose the standard deviation is 7 inches and 36 NBA players are selected at random.

Firstly, Let \bar X = mean vertical leap for the 36 players

Assuming the data follows normal distribution; so the z score probability distribution for sample mean is given by;

            Z = \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \mu = population mean vertical  leap = 28 inches

            \sigma = standard deviation = 7 inches

            n = sample of NBA player = 36

(1) Probability that the mean vertical leap for the 36 players will be less than 26 inches is given by = P(\bar X < 26 inches)

   P(\bar X < 26) = P( \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } < \frac{26-28}{\frac{7}{\sqrt{36} } } ) = P(Z < -1.71) = 1 - P(Z \leq 1.71)

                                                 = 1 - 0.95637 = 0.0436

(2) <em>Now, here sample of NBA players is 26 so n = 26.</em>

Probability that the mean vertical leap for the 26 players will be between 27.5 and 28.5 inches is given by = P(27.5 inches < \bar X < 28.5 inches) = P(\bar X < 28.5 inches) - P(\bar X \leq 27.5 inches)

    P(\bar X < 28.5) = P( \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } < \frac{28.5-28}{\frac{7}{\sqrt{26} } } ) = P(Z < 0.36) = 0.64058 {using z table}                      

    P(\bar X \leq 27.5) = P( \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } \leq \frac{27.5-28}{\frac{7}{\sqrt{26} } } ) = P(Z \leq -0.36) = 1 - P(Z < 0.36)

                                                        = 1 - 0.64058 = 0.35942

Therefore, P(27.5 inches < \bar X < 28.5 inches) = 0.64058 - 0.35942 = 0.2812

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