/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q31 Durations of Pregnancies聽The le... [FREE SOLUTION] | 91影视

91影视

Durations of PregnanciesThe lengths of pregnancies are normally distributed with a mean of 268 days and a standard deviation of 15 days.

a. In a letter to 鈥淒ear Abby,鈥 a wife claimed to have given birth 308 days after a brief visit fromher husband, who was working in another country. Find the probability of a pregnancy lasting308 days or longer. What does the result suggest?

b. If we stipulate that a baby is prematureif the duration of pregnancy is in the lowest 3%,find the duration that separates premature babies from those who are not premature. Premature babies often require special care, and this result could be helpful to hospital administrators in planning for that care.

Short Answer

Expert verified

a. The probabilityof a pregnancy lasting 308 days or longer is 0.0038. This result suggests thatit is unusual for a pregnancy to last 308 days or longer.

b. The duration that separates premature babies from those who are not premature is 240 days.

Step by step solution

01

Given information

The lengths of pregnancies are normally distributed.

The mean number of days is=268.

The standard deviation of the number of days is=15.

02

Compute the probability 

Let x represent the lengths of pregnancies.

a.

The probability of a pregnancy lasting 308 days or longer is computed as follows.

Px308=Px-308-26815=PZ2.67=1-PZ<2.67=1-0.9962=0.0038

Therefore, the probability of a pregnancy lasting 308 days or longer is 0.0038.

The results suggest that it is unusual for a pregnancy to last 308 days or longer as the probability is less than 0.05.

03

Compute the probability 

b.

Given: A baby is premature if the duration of pregnancy is in the lowest 3%.

The probability for the length separating the bottom 3% from the top 97% is given as

PZ<z=0.03

Using the standard normal table,

  • thearea of 0.03 is observed corresponding to the row value 1 and the column value 0.9, whichimplies that the z-score is 1.9.

Mathematically,

PZ<-1.9=0.03

The duration that separates premature babies from those who are not prematureis computed as follows.

x-=-1.9x-26815=-1.9x=-1.915+268=239.5240

Thus, the duration that separates premature babies from those who are not premature is 240 days.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Body Temperatures Based on the sample results in Data Set 3 鈥淏ody Temperatures鈥 in Appendix B, assume that human body temperatures are normally distributed with a mean of 98.20掳F and a standard deviation of 0.62掳F.

a. According to emedicinehealth.com, a body temperature of 100.4掳F or above is considered to be a fever. What percentage of normal and healthy persons would be considered to have a fever? Does this percentage suggest that a cutoff of 100.4掳F is appropriate?

b. Physicians want to select a minimum temperature for requiring further medical tests. What should that temperature be, if we want only 2.0% of healthy people to exceed it? (Such a result is a false positive, meaning that the test result is positive, but the subject is not really sick.)

In Exercises 11鈥14, use the population of {34, 36, 41, 51} of the amounts of caffeine (mg/12oz) in鈥侰oca-Cola鈥俍ero,鈥侱iet鈥侾epsi,鈥侱r鈥侾epper,鈥俛nd鈥侻ellow鈥俌ello鈥俍ero.

Assume鈥倀hat鈥 random samples of size n = 2 are selected with replacement.

Sampling Distribution of the Range Repeat Exercise 11 using ranges instead of means.

What is the difference between a standard normal distribution and a non-standard normal distribution?

In Exercises 11鈥14, use the population of {34, 36, 41, 51} of the amounts of caffeine (mg/12oz) in鈥侰oca-Cola鈥俍ero,鈥侱iet鈥侾epsi,鈥侱r鈥侾epper,鈥俛nd鈥侻ellow鈥俌ello鈥俍ero.

Assume鈥倀hat鈥 random samples of size n = 2 are selected with replacement.

Sampling Distribution of the Sample Mean

a. After identifying the 16 different possible samples, find the mean of each sample, then construct a table representing the sampling distribution of the sample mean. In the table, combine values of the sample mean that are the same. (Hint: See Table 6-3 in Example 2 on page 258.)

b. Compare the mean of the population {34, 36, 41, 51} to the mean of the sampling distribution of the sample mean.

c. Do the sample means target the value of the population mean? In general, do sample means make good estimators of population means? Why or why not?

Basis for the Range Rule of Thumb and the Empirical Rule. In Exercises 45鈥48, find the indicated area under the curve of the standard normal distribution; then convert it to a percentage and fill in the blank. The results form the basis for the range rule of thumb and the empirical rule introduced in Section 3-2.

About______ % of the area is between z = -1 and z = 1 (or within 1 standard deviation of the mean).

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.