Question: Nannies who are INA certified. The International Nanny Association (INA) reports that in a sample of 928 in-home child care providers (nannies), 128 have passed the INA Nanny Credential Exam (2014 International Nanny Association Salary and Benefits Survey). Use Wilson’s adjustment to find a 95% confidence interval for the true proportion of all nannies who have passed the INA certification exam.

Short Answer

Expert verified

We are 95% confident that the true proportion of all nannies that have passed the INA certification exam lies between the interval of 0.117 and 0.161.

Step by step solution

01

Given Information

The sample size was n=928.

The number of successes in the sample, x=128.

The confidence interval=95%.

02

Compute the adjusted sample proportion

The adjusted population proportion is calculated as:

p~=x+2n+4=128+2928+4=0.139

03

Compute the confidence interval of p

The significance level corresponds to the 95% confidence interval is,

1-α=0.95α=0.05

The value of is obtained from the standard normal table is,

Zα2=Z0.025=1.96

The 95% confidence interval for the proportion is computed as

C.I=p~±Zα2p~1-p~n+4=0.139±1.96×0.1391-0.139928+4=0.139±0.022=0.117,0.161

Hence, we are 95% confident that the actual proportion of all nannies that have passed the INA certification exam lies between the interval of 0.117 and 0.161.

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Most popular questions from this chapter

The following sample of 16 measurements was selected from a population that is approximately normally distributed:

  1. Construct an 80% confidence interval for the population mean.
  2. Construct a 95% confidence interval for the population mean and compare the width of this interval with that of part a.
  3. Carefully interpret each of the confidence intervals and explain why the 80% confidence interval is narrower.

Question: For the binomial sample information summarized in each part, indicate whether the sample size is large enough to use the methods of this chapter to construct a confidence interval for p.

a. n = 400,p^= .10

b. n = 50,p^= .10

c. n = 20,p^= .5

d. n = 20,p^= .3

Use Table III, Appendix D to determine thet0 values foreach of the following probability statements and their respectivedegrees of freedom (df ).

a.Ptt0=.25withdf=15

b.Ptt0=.1withdf=8

c.P-t0tt0=.01withdf=19

d.P-t0tt0=.05withdf=24

Calculate the finite population correction factor for each

of the following situations:

a. n = 50, N = 2,000

b. n = 20, N = 100

c. n = 300, N = 1,500

Lobster trap placement. Refer to the Bulletin of MarineScience(April 2010) study of lobster trap placement,Exercise 6.29 (p. 348). Recall that you used a 95% confidenceinterval to estimate the mean trap spacing (in meters)for the population of red spiny lobster fishermen fishing inBaja California Sur, Mexico. How many teams of fishermenwould need to be sampled in order to reduce the width ofthe confidence interval to 5 meters? Use the sample standarddeviation from Exercise 6.29 in your calculation.

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