In a sample of 200 items, 170 items are not defective. The point estimate for the population proportion of defective will be:
A. 0.85
B. 0.15
C. 0.2
D. 30
E. 170
In a sample of 200 items, 170 items are not defective. The point estimate for the...
Suppose a lot of 10,000 items has 200 defective items and that a random sample of 30 is drawn from the lot. What is the binomial approximation (to five decimal places) of the probability of getting exactly 2 defective items in the sample?
Suppose a lot of 10,000 items has 200 defective items and that a random sample of 30 is drawn from the lot. What is the probability (to four decimal places) of getting exactly 1 defective in the sample? Do not use Poisson or binomial approximation.
A sample of 400 items produced by supplier A contained 70 defective items. A sample of 300 items produced by supplier B contained 40 defective items. a) (5 points) Using the critical value approach, test at 4% level of significance, if there is a difference between the true proportion of defective items for the two suppliers. b) (3 points) Compute the p-value associated with test in (a) and test the hypothesis in (a). c) (3 points) Construct a 96% confidence...
A sample of 400 items produced by supplier A contained 70 defective items. A sample of 300 items produced by supplier B contained 40 defective items. a) (5 points) Using the critical value approach, test at 4% level of significance, if there is a difference between the true proportion of defective items for the two suppliers. b) (3 points) Compute the p-value associated with test in (a) and test the hypothesis in (a). c) (3 points) Construct a 96% confidence...
1. The proportion of defective items in a large lot is p. Suppose a random sample of n items is selected from the lot. Let X denote the mumber of defective itens in the sample and let denote the number of non-defective items. (a) Specify the distributions of X and Y, respectively. Are they independent? (b) Find E(X-Y) and var(X Y). 1. The proportion of defective items in a large lot is p. Suppose a random sample of n items...
The proportion of defective items in a large lot is p. Suppose a random sample of n items is selected from the lot. Let X denote the number of defective items in the sample and let Ydenote the number of non-defective items (a) Specify the distributions of X and Y , respectively. Are they independent? (b) Find E(X −Y) and var(X −Y).
Question 7 In a random sample of 62 items produced by a machine, the quality control staff found 29 of them to be defective. Calculate the point estimate of the population proportion of defective items. Round to 4 decimal places. the absolute tolerance is +/-0.0001
Give exact value and show work. Suppose a lot of 10,000 items has 200 defective items and that a random sample of 30 is drawn from the lot. What is the Poisson approximation (to four decimal places) of the probability of getting exactly 1 defective in the sample?
A random sample of 300 items reveals that 192 of the items have the attribute of interest. a. What is the point estimate for the population proportion for all items having this attribute? b. Use the information from the random sample to develop a 90% confidence interval estimate for the population proportion, p, of all items having this attribute of interest.
In a random sample of 400 items where 86 were found to be defective, the null hypothesis that 20% of the items in the population are defective produced Upper Z Subscript STAT=+0.75. Suppose someone is testing the null hypothesis Upper H0: pi=0.20 against the two-tail alternative hypothesis Upper H1: pi≠0.2 and they choose the level of significance α=0.05 What is their statistical decision?