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Using Normal Approximation. In Exercises 5鈥8, do the following: If the requirements of np5andnq5are both satisfied, estimate the indicated probability by using the normal distribution as an approximation to the binomial distribution; ifnp<5ornq<5, then state that the normal approximation should not be used.

Guessing on Standard TestsWith n= 50 guesses and p= 0.2 for a correct answer, findP(exactly 12 correct answers).

Short Answer

Expert verified

The probability of exactly 12 correct answers is equal to 0.1087.

Step by step solution

01

Given information

A sample of 50 guesses of answers on a test is considered. The probability of a correct answer is equal to 0.2.

02

Check the requirement necessary for normal approximation

It is required thatnp5 and nq5.

The values are computed below:

np=500.2=105

nq=501-0.2=405

As the requirement is fulfilled, the normal approximation can be applied to compute the probability value.

03

Mean and Standard Deviation

The mean value is equal to:

=np=500.2=10

The standard deviation is equal to:

=npq=500.20.8=2.83

04

Continuity correction

Let x represent the number of correct answers.

Here, x is equal to 12.

The value of x is transformed as follows:

x-0.5,x+0.5=12-0.5,12+0.5=11.5,12.5

It is required to compute the probability of exactly 212 correct answers. Thus, the probability between the values 11.5 and 12.5 needs to be computed.

05

Probability value

The required probability value is equal to:

P11.5<x<12.5=P11.5-<x-<12.5-=P11.5-102.83<z<12.5-102.83=P0.53<z<0.88=Pz<0.88-Pz<0.53=0.8106-0.7019=0.1087

Therefore, the probability of exactly 12 correct answers is equal to 0.1087.

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Most popular questions from this chapter

Birth Weights Based on Data Set 4 鈥淏irths鈥 in Appendix B, birth weights are normally distributed with a mean of 3152.0 g and a standard deviation of 693.4 g.

a. What are the values of the mean and standard deviation after converting all birth weights to z scores using z=x-?

b. The original birth weights are in grams. What are the units of the corresponding z scores?

Unbiased Estimators Data Set 4 鈥淏irths鈥 in Appendix B includes birth weights of 400 babies. If we compute the values of sample statistics from that sample, which of the following statistics are unbiased estimators of the corresponding population parameters: sample mean; sample median; sample range; sample variance; sample standard deviation; sample proportion?

Standard Normal Distribution Identify the two requirements necessary for a normal distribution to be a standard normal distribution

In Exercises 7鈥10, use the same population of {4, 5, 9} that was used in Examples 2 and 5. As in Examples 2 and 5, assume that samples of size n = 2 are randomly selected with replacement.

Sampling Distribution of the Sample Median

a. Find the value of the population median.

b. Table 6-2 describes the sampling distribution of the sample mean. Construct a similar table representing the sampling distribution of the sample median. Then combine values of the median that are the same, as in Table 6-3. (Hint: See Example 2 on page 258 for Tables 6-2 and 6-3, which describe the sampling distribution of the sample mean.)

c. Find the mean of the sampling distribution of the sample median. d. Based on the preceding results, is the sample median an unbiased estimator of the population median? Why or why not?

Low Birth Weight The University of Maryland Medical Center considers 鈥渓ow birth weights鈥 to be those that are less than 5.5 lb or 2495 g. Birth weights are normally distributed with a mean of 3152.0 g and a standard deviation of 693.4 g (based on Data Set 4 鈥淏irths鈥 in Appendix B).

a. If a birth weight is randomly selected, what is the probability that it is a 鈥渓ow birth weight鈥?

b. Find the weights considered to be significantly low, using the criterion of a birth weight having a probability of 0.05 or less.

c. Compare the results from parts (a) and (b).

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