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77julia77 [94]
3 years ago
6

Adult male heights are normally distributed with a mean of 70 inches and a standard deviation of 3 inches. The average basketbal

l player is 79 inches tall. Approximately what percent of the adult male population is taller than the average basketball player? 0.135% 0.875% 49.875% 99.875%
Mathematics
2 answers:
Marizza181 [45]3 years ago
5 0
Z = (x - mean) / SD = (79 - 70) / 3 = 3 
<span>P (Z > 3)? = 1 - F (z) = 1 - F (3) = 0.00135</span>
makvit [3.9K]3 years ago
5 0

Answer:

A. 0.135%

Step-by-step explanation:

We have been given that adult male heights are normally distributed with a mean of 70 inches and a standard deviation of 3 inches. The average basketball player is 79 inches tall.  

We need to find the area of normal curve above the raw score 79.

First of all let us find the z-score corresponding to our given raw score.

z=\frac{x-\mu}{\sigma}, where,

z=\text{z-score},

x=\text{Raw-score},

\mu=\text{Mean},

\sigma=\text{Standard deviation}.

Upon substituting our given values in z-score formula we will get,

z=\frac{79-70}{3}

z=\frac{9}{3}

z=3

Now we will find the P(z>3) using formula:

P(z>a)=1-P(z

P(z>3)=1-P(z

Using normal distribution table we will get,

P(z>3)=1-0.99865

P(z>3)=0.00135

Let us convert our answer into percentage by multiplying 0.00135 by 100.

0.00135\times 100=0.135%

Therefore, approximately 0.135% of the adult male population is taller than the average basketball player and option A is the correct choice.

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Step-by-step explanation:

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The number of texts per day by students in a class is normally distributed with a 
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Answer:

1, 2, 6

Step-by-step explanation:

The z score shows by how many standard deviations the raw score is above or below the mean. The z score is given by:

z=\frac{x-\mu}{\sigma} \\\\where\ x=raw\ score,\mu=mean, \ \sigma=standard\ deviation

Given that mean (μ) = 130 texts, standard deviation (σ) = 20 texts

1) For x < 90:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{90-130}{20} =-2

From the normal distribution table, P(x < 90) = P(z < -2) = 0.0228 = 2.28%

Option 1 is correct

2) For x > 130:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{130-130}{20} =0

From the normal distribution table, P(x > 130) = P(z > 0) = 1 - P(z < 0) = 1 - 0.5 = 50%

Option 2 is correct

3) For x > 190:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{190-130}{20} =3

From the normal distribution table, P(x > 3) = P(z > 3) = 1 - P(z < 3) = 1 - 0.9987 = 0.0013 = 0.13%

Option 3 is incorrect

4)  For x < 130:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{130-130}{20} =0

For x > 100:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{100-130}{20} =-1.5

From the normal table, P(100 < x < 130) = P(-1.5 < z < 0) = P(z < 0) - P(z < 1.5) = 0.5 - 0.0668 = 0.9332 = 93.32%

Option 4 is incorrect

5)  For x = 130:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{130-130}{20} =0

Option 5 is incorrect

6)  For x = 130:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{160-130}{20} =1.5

Since 1.5 is between 1 and 2, option 6 is correct

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