A random sample of n = 900 observations from a binomial population produced x = 655 successes. Estimate the population proportion p and calculate the margin of error. (Please note, your estimate is a point estimate, and the margin of error is 1.96 x S.E.)
A random sample of n = 900 observations from a binomial population produced x = 655 successes
A random sample of n = 400 observations from a binomial population produced x = 133 successes. Give the best point estimate for the binomial proportion p. (Round your answer to three decimal places.) p̂ = Calculate the 95% margin of error. (Round your answer to three decimal places.) ______
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 random sample of n = 500 observations from a binomial population produced x = 169 successes. Find a 90% confidence interval for p. (Round your answers to three decimal places
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%...
A random sample of n = 1400 observations from a binomial population produced x = 388. H0: p = 0.3 versus Ha: p ? 0.3 (b) Calculate the test statistic and its p-value. (Round your test statistic to two decimal places and your p-value to four decimal places.) z = p-value =
A random sample of n = 1,000 observations from a binomial population contained 337 successes. You wish to show that p < 0.35. Given: H0: p = 0.35 versus Ha: p < 0.35 Solve: Calculate the appropriate test statistic. (Round your answer to two decimal places.) z =?? Provide an α = 0.05 rejection region. (Round your answer to two decimal places. If the test is one-tailed, enter NONE for the unused region.) z> ?? z<??
Suppose that a simple random sample of size n = 400 selected from a population has x = 247 successes. Calculate the margin of error for a 95% confidence interval for the proportion of successes for the population, p. Compute the sample proportion, p, standard error estimate, SE, critical value, z, and the margin of error, m. Use a z-distribution table to determine the critical value. Give all of your answers to three decimal places except give the critical value,...
Suppose that a simple random sample of size ?=325 selected from a population has ?=147 successes. Calculate the margin of error for a 95% confidence interval for the proportion of successes for the population, ? . Compute the sample proportion, ?̂, standard error estimate, SE, critical value, ?, and the margin of error, ?. Use a ?- distribution table to determine the critical value. Give all of your answers to three decimal places except give the critical value, ?, to...
A random sample of n = 45 observations from a quantitative population produced a mean x = 2.6 and a standard deviation s = 0.33. Your research objective is to show that the population mean μ exceeds 2.5. Calculate β = P(accept H0 when μ = 2.6). (Use a 5% significance level. Round your answer to four decimal places.)
A random sample of n = 40 observations from a quantitative population produced a mean x = 2.6 and a standard deviation s = 0.25. Your research objective is to show that the population mean u exceeds 2.5. Calculate B = P(accept He when u = 2.6). (Use a 5% significance level. Round your answer to four decimal places.) B =