Question

In: Statistics and Probability

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.

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 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.
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.
You have obtained the number of years of education from one random sample of 35 police...
You have obtained the number of years of education from one random sample of 35 police officers from City A and the number of years of education from a second random sample of 30 police officers from City B. The average years of education for the sample from City A is 15 years with a standard deviation of 2 years. The average years of education for the sample from City B is 14 years with a standard deviation of 2.2...
From a random sample of 16 bags of chips, sample mean weight is 500 grams and...
From a random sample of 16 bags of chips, sample mean weight is 500 grams and sample standard deviation is 3 grams. Assume that the population distribution is approximately normal. Answer the following questions 1 and 2. 1. Construct a 95% confidence interval to estimate the population mean weight. (i) State the assumptions, (ii) show your work and (iii) interpret the result in context of the problem. 2.  Suppose that you decide to collect a bigger sample to be more accurate....
In one of the studies, it was found that, in a random sample of 261 married...
In one of the studies, it was found that, in a random sample of 261 married persons, 135 were smokers while in a sample of 239 non-married persons there were 131 smokers. a. Find a 90% confidence interval for the true difference in proportion of smokers among the married and non-married populations. b. Based on the above interval, can one conclude that there is a significant difference between the proportions of smokers in the two populations? Justify your answer c....
Assume that the sample is a simple random sample obtained from a normally distributed population of...
Assume that the sample is a simple random sample obtained from a normally distributed population of IQ scores of statistics professors. Use the table below to find the minimum sample size needed to be 99​% confident that the sample standard deviation s is within 1​% of sigma. Is this sample size​ practical? sigma To be​ 95% confident that s is within ​1% ​5% ​10% ​20% ​30% ​40% ​50% of the value of sigma​, the sample size n should be at...
Assume that each sample is a simple random sample obtained from a population with a normal...
Assume that each sample is a simple random sample obtained from a population with a normal distribution. a. n= 93 mean=3.90968 s=0.51774 Construct a 99​% confidence interval estimate of the standard deviation of the population from which the sample was obtained. b. n=93 mean=4.09355 s=0.59194 Repeat part​ (a). How do you find values on a chi-square table when the degrees of freedom are a value not commonly found on standard chi-square tables? (In this case, 92)
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT