Question

In: Statistics and Probability

A random sample of 200 computer chips is obtained from one factory and 4% are found...

A random sample of 200 computer chips is obtained from one factory and 4% are found to be defective. Construct and interpret a 99% confidence interval for the percentage of all computer chips from that factory that are not defective.

Solutions

Expert Solution

Solution :

Given that,

n = 200

Point estimate = sample proportion = =4%=0.04

1 -   = 1- 0.04 =0.96

At 99% confidence level the z is ,

  = 1 - 99% = 1 - 0.99 = 0.01

/ 2 = 0.01 / 2 = 0.005

Z/2 = Z0.005 = 2.576 ( Using z table )

  Margin of error = E = Z / 2    * (((( * (1 - )) / n)

= 2.576* (((0.04*0.96) / 200)

E = 0.036

A 99% confidence interval proportion p is ,

- E < p < + E

0.04-0.036 < p < 0.04+0.036

0.004< p < 0.076


Related Solutions

A random sample of 200 computers chips is obtained from one factory and 4% are found...
A random sample of 200 computers chips is obtained from one factory and 4% are found to be defective. Construct and interpret a 99% confidence interval for the percentage of all computer chips from that factory that are not defective.
Suppose a simple random sample of size n=200 is obtained from a population whose size is...
Suppose a simple random sample of size n=200 is obtained from a population whose size is Upper N= 20,000 and whose population proportion with a specified characteristic is p equals 0.6 .p=0.6. Complete parts ​(a) through​ (c) below. (a) Determine the standard deviation (b) What is the probability of obtaining x=124 or more individuals with the​ characteristic? That​ is, what is ​P(p≥0.62)? (c) What is the probability of obtaining x=106 or fewer individuals with the​ characteristic? That​ is, what is...
3) A random sample of 100 pumpkins is obtained and the mean circumference is found to...
3) A random sample of 100 pumpkins is obtained and the mean circumference is found to be 40.5 cm. Assuming that the population standard deviation is known to be 1.6 cm, use a 0.05 significance level to test the claim that the mean circumference of all pumpkins is equal to 39.9 cm.
In a sample of 80 workers from a factory in city A, it was found that...
In a sample of 80 workers from a factory in city A, it was found that 10% were unable to read, while in a sample of 50 workers in city B, 14% were unable to read. Can it be concluded that there is a difference in the proportions of nonreaders in the two cities? Use α = 0.10. Also find the 90% confidence interval for the differences of the two proportions.
Problem: A random sample of 200 kitchen blenders is tested and 10 are found to be...
Problem: A random sample of 200 kitchen blenders is tested and 10 are found to be defective. (a) Construct a 86% confidence interval for the proportion p of defective blenders. (b) Do the results contradict the manufacturer’s claim that less than 4% of the blenders are defective? Explain. (c) Should the null hypothesis H0 : p = 0.06 be rejected at significance level 14% in a hypothesis test that uses the same data? Explain.
A sample of 800 computer chips revealed that 75% of the chips do not fail in...
A sample of 800 computer chips revealed that 75% of the chips do not fail in the first 1000 hours of their use. The company's promotional literature claimed that more than 72% do not fail in the first 1000 hours of their use. Is there sufficient evidence at the 0.01 level to support the company's claim? Step 1 of 1: State the null and alternative hypotheses for the above scenario.
A sample of 1300 computer chips revealed that 42% of the chips do not fail in...
A sample of 1300 computer chips revealed that 42% of the chips do not fail in the first 10001000 hours of their use. The company's promotional literature claimed that above 39% do not fail in the first 1000hours of their use. Is there sufficient evidence at the 0.05 level to support the company's claim? State the null and alternative hypotheses for the above scenario. Step 1 of 3: Find the point estimate for the true difference between the population means....
A sample of 900 computer chips revealed that 59% of the chips fail in the first...
A sample of 900 computer chips revealed that 59% of the chips fail in the first 1000 hours of their use. The company's promotional literature states that 62% of the chips fail in the first 1000 hours of their use. The quality control manager wants to test the claim that the actual percentage that fail is less than the stated percentage. Is there enough evidence at the 0.10 level to support the manager's claim? Step 2 of 7: Find the...
A sample of 900 computer chips revealed that 59% of the chips fail in the first...
A sample of 900 computer chips revealed that 59% of the chips fail in the first 1000 hours of their use. The company's promotional literature states that 62% of the chips fail in the first 1000 hours of their use. The quality control manager wants to test the claim that the actual percentage that fail is less than the stated percentage. Is there enough evidence at the 0.10 level to support the manager's claim? Step 2 of 7: Find the...
A sample of 800 computer chips revealed that 59% of the chips fail in the first...
A sample of 800 computer chips revealed that 59% of the chips fail in the first 1000 hours of their use. The company's promotional literature claimed that 63% fail in the first 1000 hours of their use. Is there sufficient evidence at the 0.01 level to dispute the company's claim? State the null and alternative hypotheses for the above scenario.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT