deviation

To calculate the confidence interval for variance or standard deviation, a statistical distribution called ______ is needed. => chi-square distribution or binomial distribution or poisson distribution or multinomial distribution..

Find the standard deviation of the data set {2, 18, 4, 16}. => 5 or 5 2 or 3 2 or 4 2..

A survey asks 'How much time do you spend in front of the TV in one week? Suppose the responses are normally distributed, the mean is 10 hours and the standard deviation is 2 hours. What value in hours is one standard deviation above the mean, and one standard deviation..

The average age of technicians at B & T company is 26 years, with a standard deviation of 6 years. The average salary of the technicians is $31,000 with a standard deviation of $4000. Is the variation in the salary of technicians more than the variation in their age ? => yes or ..

For a group of 200 candidates, the mean and standard deviation of scores were found to be 40 and 15. Later on, it was discovered that the scores 43 and 35 were misread as 34 and 53. Find the corrected mean and standard deviation. => 39.955 and 14.97 or 31 and 6 or 39.955 and 224..

A sample of 30 RAM chips was tested for the average access time. The standard deviation was found to be 2 nanosec. Find the 90% confidence interval for the true standard deviation. Assume that the variable is normally distributed. => between 1.7 and 2.6 or between 1.6 and 2.5 or..

What is the approximate area under the part of the normal curve that lies within 1 standard deviation of the mean? => 33.3% or 68% or 95% or 99.7%..

Find the highest control limit for a normally distributed curve with a mean of 20 and a standard deviation of 3. => 23 or 29 or 11 or 26..

If 5% of truck carburetors are defective, then find the mean and standard deviation of a lot of 400 carburetors. => 20, 4.36 or 4.36, 20 or 19, 4.36 or 20, 19..

If 20% of the computer chips are defective, then find the variance and standard deviation of a lot of 542 chips. => 86.72, 9.31 or 433.6, 108.4 or 108.4, 86.72 or 9.31, 86.72..