1.A sample of 350 observations taken from the same population produced a sample proportion 0.61. Make a 98 % confidence interval for p.
. 2.A second sample of 350 observations taken from the same population produced a sample proportion 0.67. Make a 98 % confidence interval for p. .
1.A sample of 350 observations taken from the same population produced a sample proportion 0.61. Make...
A sample of 1000 observations taken from the first population gave x1 = 290. Another sample of 1200 observations taken from the second population gave x2 = 396. a. Find the point estimate of p1 − p2. b. Make a 98% confidence interval for p1 − p2. c. Show the rejection and nonrejection regions on the sampling distribution of pˆ1 − pˆ2 for H0: p1 = p2 versus H1: p1 < p2. Use a significance level of 1%. d. Find...
A sample of 18 observations taken from a normally distributed population produced the following data: 28.1 27.2 25.1 25.2 31.2 23.5 26.4 24.3 28.2 37.2 23.6 28.9 27.9 25.5 27.3 25.3 22.4 22.7 Round your answers to three decimal places. a. What is the point estimate of ? b. Make a 90% confidence interval for u. c. What is the margin of error of estimate for p in part b? E =
A sample of 18 observations taken from a normally distributed population produced the following data: 28.1 27.4 25.1 25.1 31.5 23.3 26.2 24.3 28.4 37.1 23.5 28.8 27.5 25.4 27.1 25.4 22.7 22.7 Round your answers to three decimal places a. What is the point estimate of ? b. Make a 95% confidence interval for a. What is the point estimate of b. Make a 95% confidence interval for c. What is the margin of error of estimate for in...
A sample of 33 observations taken from an infinite population. The population proportion is .06, what is the probability that the sample proportion will be less than .1?
A random sample of n = 200 observations from a binomial population produced x = 190 successes. Find a 90% confidence interval for p. (Round your answers to three decimal places.) _______ to _______ Interpret the interval. 90% of all values will fall within the interval. There is a 10% chance that an individual sample proportion will fall within the interval. There is a 90% chance that an individual sample proportion will fall within the interval. In repeated sampling, 90%...
sample of 51 observations will be taken from a process (an infinite population). The population proportion equals 0.85. The probability that the sample proportion will be between 0.9115 and 0.946 is _____.
A random sample of n = 500 observations from a binomial population produced x = 220 successes. (a) Find a point estimate for p. Find the 95% margin of error for your estimator. (Round your answer to three decimal places.) (b) Find a 90% confidence interval for p. (Round your answers to three decimal places.) _____to_____ Interpret this interval. a. In repeated sampling, 10% of all intervals constructed in this manner will enclose the population proportion. b. In repeated sampling,...
A sample of 18 observations taken from a normally distributed population produced the following data: 28.3 27.3 25.4 25.3 31.4 23.4 26.3 24.4 28.1 37.3 23.6 28.6 27.7 25.5 27.5 25.4 22.5 22.9 Round your answers to three decimal places. a. What is the point estimate of μ? x¯= b. Make a 95% confidence interval for μ. (,) c. What is the margin of error of estimate for μ in part b? E=
A sample of 46 observations is taken from a normal population with a standard deviation of 26. The sample mean is 44. Determine the 80% confidence interval for the population mean. (Round the final answers to 3 decimal places.) Confidence interval for the population mean is and
Aresearcher wants to make a 99% confidence interval for a population proportion. A preliminary sample produced the sample proportion of 0.645. The sample size that would limit the margin of error to be within 0.025 of the population proportion is: i