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Significance with Range Rule of Thumb. In Exercises 29 and 30, assume that different groups of couples use the XSORT method of gender selection and each couple gives birth to one baby. The XSORT method is designed to increase the likelihood that a baby will be a girl, but assume that the method has no effect, so the probability of a girl is 0.5.

Gender Selection Assume that the groups consist of 36 couples.

a.Find the mean and standard deviation for the numbers of girls in groups of 36 births.

b. Use the range rule of thumb to find the values separating results that are significantly low or significantly high.

c. Is the result of 26 girls a result that is significantly high? What does it suggest about the effectiveness of the XSORT method?

Short Answer

Expert verified

a.The mean number of girls in 36 births is equal to 18.0. The standard deviation of the number of girls in 36 births is equal to 3.0.

b.Significantly high values are greater than or equal to 24.0.

Significantly low values are less than or equal to 12.0.

Insignificant values lie between 12.0 and 24.0.

c.Yes, the result of 26 girls is significantly high as it is greater than 24.0;

this suggests that the XSORT method proved to be efficient in increasing the likelihood of a baby girl.

Step by step solution

01

Given information

It is given that 36 couples have tried the XSORT method to produce a baby. The probability of a girl is equal to 0.5.

02

Mean and standard deviation 

a.

Here, the probability of a girl is given to be p=0.5.

The probability of a boy is computed below:

q=1-p=1-0.5=0.5

The number of trials (n) is equal to 36.

Thus, the mean value is given as follows:

μ=np=360.5=18.0

Therefore, the mean number of girls is equal to 18.0.

The standard deviation is computed below:

σ=npq=360.50.5=3.0

Therefore, the standard deviation of the number of girls in 36 births is equal to 3.0.

03

Range rule of thumb

b.

By using the range rule of thumb, the significantly low number of girls is computed below:

μ-2σ=18.0-23.0=12.0

Thus, the significantly low number of girls is12.0 or less.

The significantly high number of girls are computed below:

μ+2σ=18.0+23.0=24.0

Thus, the significantly high number of girls is24.0 or more.

Moreover, the values that are not significant will lie between 12.0 and 24.0.

04

Examining the significance of a value 

Here, the value of 26 can be considered significantly high as it is greater than 24.0.

The value of 26 girls suggests that the XSORT method is effective.

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Most popular questions from this chapter

In Exercises 15–20, refer to the accompanying table, which describes results from groups of 8 births from 8 different sets of parents. The random variable x represents the number of girls among 8 children.

Using Probabilities for Significant Events

a. Find the probability of getting exactly 7 girls in 8 births.

b. Find the probability of getting 7 or more girls in 8 births.

c. Which probability is relevant for determining whether 7 is a significantly high number ofgirls in 10 births: the result from part (a) or part (b)?

d. Is 7 a significantly high number of girls in 8 births? Why or why not?

Number of girls x

P(x)

0

0.004

1

0.031

2

0.109

3

0.219

4

0.273

5

0.219

6

0.109

7

0.031

8

0.004

In Exercises 25–28, find the probabilities and answer the questions.

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d. If we randomly select five adults, is 1 a significantly low number who say that they were too young to get tattoos?

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Surveying Senators The Senate members of the 113th Congress include 80 males and 20 females. Forty different senators are randomly selected without replacement, and the gender of each selected senator is recorded.

In Exercises 6–10, use the following: Five American Airlines flights are randomly selected, and the table in the margin lists the probabilities for the number that arrive on time (based on data from the Department of Transportation). Assume that five flights are randomly selected.

What does the probability of 0+ indicate? Does it indicate that among five randomly selectedflights, it is impossible for none of them to arrive on time?

x

P(x)

0

0+

1

0.006

2

0.051

3

0.205

4

0.409

5

0.328

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