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Dentists’ use of laughing gas. According to the American Dental Association, 60% of all dentists use nitrous oxide (laughing gas) in their practice. In a random sample of 75 dentists, let p^represent the proportion who use laughing gas in practice.

a. Find Ep^.

b. Find σp^.

c. Describe the shape of the sampling distribution of p^.

d. Find Pp^>0.70.

Short Answer

Expert verified

a. The mean of the sample proportion is Ep^=0.60.

b. The standard deviation of the sample proportion is 0.6557.

c. The shape of the sampling distribution of the sample proportion is approximately symmetric (normal).

d. The required probability is 0.4404.

Step by step solution

01

Given information

The proportion of all dentists that uses nitrous oxide in their practice is p = 0.60.

A random sample of size n = 75 is selected.

Let p^represents the sample proportion that uses laughing gas in practice.

02

Computing the mean of the sample proportion

a

The mean of the sample proportion is obtained as:

Ep^=p=0.60.

Since Ep^=p.

Therefore, Ep^=0.60.

03

Computing the standard deviation of the sample proportion

b.

The standard deviation of the sample proportion is obtained as:

σp^=p1-pn=0.60×0.4075=32.2475=0.4299=0.6557.

Therefore,σp^=0.6557.

04

Determining the shape of the sampling distribution

c.

Here,

np^=75×0.60=45>15,

and

n1-p^=75×0.40=30>15

The conditions to use normal approximation are satisfied. Therefore, the shape of the sampling distribution of the sample proportion is approximately symmetric (normal).

05

Computing the required probability

d.

To find the required probability normal approximation is used.

Therefore,

Pp^>0.70=Pp^-pσp^>0.70-pσp^=PZ>0.70-0.600.6557=PZ>0.100.6557=PZ>0.15=1-PZ⩽0.15=1-0.5596=0.4404

The z-table is used to find the probability; the value at the intersection of 0.10 and 0.05 is the probability of a z-score less than or equal to 0.15.

Hence, the required probability is 0.4404.

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Most popular questions from this chapter

The probability distribution shown here describes a population of measurements that can assume values of 0, 2, 4, and 6, each of which occurs with the same relative frequency:

  1. List all the different samples of n = 2 measurements that can be selected from this population. For example, (0, 6) is one possible pair of measurements; (2, 2) is another possible pair.
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