5. The length of human pregnancies from conception to birth varies according to a distribution that is approximately normal with mean 266 days and standard deviation 16 days
a. What percent of pregnancies last between 250 and 282 days?
b. We know roughly 99.7% of all pregnancies fall between how many days?
c. A pregnancy located in the 16th percentile would last how long?
d. If 15 women are surveyed, what is the probability that 5 of them have a pregnancy that last between 250 and 266 days?
e. If a woman is claiming her pregnancy is lasting longer than 90% of pregnancies, how long might her pregnancy last?

Respuesta :

Using the normal distribution, we have that:

a. 68% of pregnancies last between 250 and 282 days.

b. 99.7% of all pregnancies fall between 218 days and 314 days.

c. A pregnancy located in the 16th percentile would last 250 days.

d. There is a 0.2140 = 21.40% probability that 5 of them have a pregnancy that last between 250 and 266 days.

e. Her pregnancy length will be of at least 286 days.

Normal Probability Distribution

The z-score of a measure X of a normally distributed variable with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex] is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

[tex]\mu = 266, \sigma = 16[/tex]

For item a, the proportion is the p-value of Z when X = 282 subtracted by the p-value of Z when X = 250, hence:

X = 282:

Z = (282 - 266)/16

Z = 1 has a p-value of 0.84.

X = 250:

Z = (250 - 266)/16

Z = -1 has a p-value of 0.16.

0.84 - 0.16 = 0.68.

68% of pregnancies last between 250 and 282 days.

For item b, By the empirical rule, 99.7% of the measures of a normal distribution fall within 3 standard deviations of the mean, hence:

  • 266 - 3 x 16 = 218 days.
  • 266 + 3 x 16 = 314 days.

99.7% of all pregnancies fall between 218 days and 314 days.

For item c, the pregnancy length is X when Z = -1, hence:

-1 = (X - 266)/16

X - 266 = -16

X = 250.

A pregnancy located in the 16th percentile would last 250 days.

For item d, using the binomial distribution with p = 0.34(due to item a and the symmetry of the normal distribution) and n = 15, the probability is given as follows:

[tex]P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}[/tex]

[tex]P(X = 5) = C_{15,5}.(0.34)^{5}.(0.66)^{10} = 0.2140[/tex]

There is a 0.2140 = 21.40% probability that 5 of them have a pregnancy that last between 250 and 266 days.

For item e, her pregnancy length is at the 90th percentile, that is, X when Z = 1.28, hence:

1.28 = (X - 266)/16

X - 266 = 1.28 x 16

X = 286.

Her pregnancy length will be of at least 286 days.

More can be learned about the normal distribution at https://brainly.com/question/4079902

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