confidence intervals

The formula for the confidence interval for a standard deviation is ________ . => III or II or IV or I..

When a 95% confidence interval is calculated instead of a 90% confidence interval with the same sample, the maximum error of estimate will be _____ . => either smaller or larger depending on sample size or the same or smaller or larger..

If 95% confidence interval for the average age of the club members is 39 < μ < 41, then which of the following could be 99% confidence interval? => 39.4 < μ < 40.6 or 39.5 < μ < 40.5 or 39 < μ < 41 or 38 < μ < 42 o..

A sample of the reading scores of 35 sixth graders has a mean of 82. If the 95% confidence interval for the population mean of the reading scores of all fifth graders is between 77 and 87, then which among the following choices represents the 99% confidence interv..

A random sample of 100 similar iron bars manufactured at a factory had a mean diameter of 6.43 mm and a variance of 0.032 mm 2 . Find 95% confidence interval and 99% confidence interval. Which interval is smaller? => (6.40, 6.47) and (6.38, 6.48) an..

A study of 50 basket ball players showed that their scoring average is 15.8 points per game. The 90% confidence interval of the mean score for all players is between 14.1 and 17.5. Find the 90% confidence interval of the mean score(μ) if 100 players are co..

95% confidence interval of a population mean worked out on a sample size of 10 is, 0.26 < μ < 0.38. What is the likely 95% confidence interval of the mean of the same population worked out on a sample size of 20? => 0.28 < μ < 0.36 or 0.24 &..

In a random sample of 25 trees, the variance in height was found to be 6.9. Find the 95% confidence interval for the standard deviation. Assume that the variable is normally distributed. => between 4.9 and 13.7 or between 4.2 and 13.4 or between 5.5 and 14.1 or between 5.5 and 1..

A survey of 156 people showed that 104 go for a brisk walk daily. Find the 99% confidence interval of the true proportion of people who go for a brisk walk. => 57.3% < p < 76.7% or 63.2% < p < 70.8% or 66.6% < p < 67.4% or 66% < p < 70%..

An investigation was done to examine the proportion of male teenagers who smoke. From a pilot study, it was found that out of 150 males, 40 smoked. Find the 99% confidence interval of the true proportion of teenagers who smoke. => 16.05% < p < 37.95% or 17.6% < p < 3..