Question

In: Statistics and Probability

The population proportion is 0.40. What is the probability that a sample proportion will be within...

The population proportion is 0.40. What is the probability that a sample proportion will be within ±0.04 of the population proportion for each of the following sample sizes? (Round your answers to 4 decimal places.)

(a)n = 100

(b) n = 200

(c) n = 500

(d) n = 1,000

(e) What is the advantage of a larger sample size?

Solutions

Expert Solution

the population proportion p = 0.40

standard error =

to find the probability that a sample proportion will be within ±0.04 of the population proportion, we will use Z distribution

a) standard error for n= 100 is

the probability that a sample proportion will be within ±0.04 of the population proportion=

b)

standard error for n= 200 is

the probability that a sample proportion will be within ±0.04 of the population proportion=

c)

standard error for n= 500 is

the probability that a sample proportion will be within ±0.04 of the population proportion=

d)

standard error for n= 1000 is

the probability that a sample proportion will be within ±0.04 of the population proportion=

e) as the sample size increases the standard error reduces.


Related Solutions

The population proportion is 0.40. What is the probability that a sample proportion will be within...
The population proportion is 0.40. What is the probability that a sample proportion will be within ±0.04 of the population proportion for each of the following sample sizes? (Round your answers to 4 decimal places.) (a) n = 100 (b) n = 200 (c) n = 500 (d) n = 1,000 (e) What is the advantage of a larger sample size? We can guarantee p will be within ±0.04 of the population proportion p. There is a higher probability σp...
The population proportion is 0.60. What is the probability that a sample proportion will be within...
The population proportion is 0.60. What is the probability that a sample proportion will be within ±0.04 of the population proportion for each of the following sample sizes? Round your answers to 4 decimal places. Use z-table. A.) n=100 B.) n= 200 C.) n=500 D.) n=1,000
The population proportion is .60. What is the probability that a sample proportion will be within...
The population proportion is .60. What is the probability that a sample proportion will be within +/- .02 of the population proportion for each of the following sample sizes? Round your answers to 4 decimal places. n=100 n=200 n=500 n=1000
The population proportion is 0.26. What is the probability that a sample proportion will be within...
The population proportion is 0.26. What is the probability that a sample proportion will be within ±0.04 of the population proportion for each of the following sample sizes? (Round your answers to 4 decimal places.) (a) n = 100 (b) n = 200 (c) n = 500 (d) n = 1,000 (e) What is the advantage of a larger sample size? There is a higher probability σp will be within ±0.04 of the population standard deviation.We can guarantee p will...
The population proportion is 0.25. What is the probability that a sample proportion will be within...
The population proportion is 0.25. What is the probability that a sample proportion will be within (plus or minus)+-0.05 of the population proportion for each of the following sample sizes? Round your answers to 4 decimal places. Use z-table. a. n=100 b. n=200 c. n=500 d. n=1,000 e. What is the advantage of a larger sample size? With a larger sample, there is a (lower/higher) probability will be within (plus or minus) +-0.05 of the population proportion .
The population proportion is 0.36. What is the probability that a sample proportion will be within...
The population proportion is 0.36. What is the probability that a sample proportion will be within ±0.04 of the population proportion for each of the following sample sizes? (Round your answers to 4 decimal places.) A)n=100 B)n=200 C)n=500 D)n=1000 What is the advantage of a larger sample size?
The population proportion is 0.26. What is the probability that a sample proportion will be within ±0.04 of the population proportion for each of the following sample sizes?
  The population proportion is 0.26. What is the probability that a sample proportion will be within ±0.04 of the population proportion for each of the following sample sizes? (Round your answers to 4 decimal places.) (a) n = 100 (b) n = 200 (c) n = 500 (d) n = 1,000 (e) What is the advantage of a larger sample size? There is a higher probability σp will be within ±0.04 of the population standard deviation.We can guarantee p...
The population proportion is .65 . What is the probability that a sample proportion will be...
The population proportion is .65 . What is the probability that a sample proportion will be within + or - .02 of the population proportion for each of the following sample sizes? Round your answers to 4 decimal places. Use z-table. a. n=100 b. n=200 c. n=500 d. n=1000 e. What is the advantage of a larger sample size? With a larger sample, there is a probability will be within + or - .02 of the population proportion .
A) A sample of 150 is drawn from a population with a proportion equal to 0.40....
A) A sample of 150 is drawn from a population with a proportion equal to 0.40. Determine the probability of observing between 49 and 54 successes. ​P(Observing between 49 and 54 ​successes)equals= B) A professional baseball pitcher takes 15.83 seconds to throw each​ pitch, on average. Assume the​ pitcher's times per pitch follow the normal probability distribution with a standard deviation of 2.2 seconds. Complete parts a through d. a. What is the probability that a random sample of 20...
What sample size is needed to estimate the population proportion within 1 percent using a 99...
What sample size is needed to estimate the population proportion within 1 percent using a 99 percent confidence level?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT