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Births: Sampling Distribution of Sample Proportion When two births are randomly selected, the sample space for genders is bb, bg, gb, and gg (where b = boy and g = girl). Assume that those four outcomes are equally likely. Construct a table that describes the sampling distribution of the sample proportion of girls from two births. Does the mean of the sample proportions equal the proportion of girls in two births? Does the result suggest that a sample proportion is an unbiased estimator of a population proportion?

Short Answer

Expert verified

The following table describes the sampling distribution of the sample proportions:

Sample proportion

Probability

0

0.25

0.5

0.5

1

0.25

The population proportion is equal to the mean of the sample proportions.

Since the mean value of the sampling distribution of the sample proportion is equal to the population proportion, the sample proportion can be considered as an unbiased estimator of the population proportion.

Step by step solution

01

Given information

The sample space for the gender of two births is provided. The four outcomes of the sample space are equally likely.

02

Sampling distribution of sample proportions

All possible samples of size 2 given in the sample space are:

bb

bg

gb

gg

The sample proportion of girls for each sample has the following formula:

p^=Numberofgirls2

The following table shows all possible samples of size equal to 2 and the corresponding sample proportions:

Sample

Sample proportion of girls

bb

p^1=02=0

bg

p^1=02=0

gb

p^3=12=0.5

gg

p^4=22=1

Combining the values of proportions that are the same, the following probability values are obtained:

Sample proportion

Probability

0

14=0.25

0.5

24=0.5

1

14=0.25

03

Population proportion and mean of the sample proportions

The population can be described as {b,g}.

The population proportion of girls in two births is computed below:

p=NumberofGirlsNumberofBirths=12=0.5

Thus, the population proportion of girls in two births is equal to 0.5.

The mean of the sample proportions is computed below:

Meanofp^=p^1+p^2+p^3+p^44=0+0.5+0.5+14=0.5

Thus, the mean of the sampling distribution of the sample proportion is equal to 0.5.

Here, the population proportion (0.5) is equal to the mean of the sample proportions (0.5).

04

Unbiased estimator

An unbiased estimator is a sample statistic whose sampling distribution has a mean value equal to the population parameter.

The mean value of the sampling distribution of the sample proportion (0.5) is equal to the population proportion (0.5).

Thus, the sample proportioncan be considered as an unbiased estimator of the population proportion.

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