Suppose we compute the sample mean from 100 iid observations. Which of the following is NOT true?

The mean of the all the sample means and the population mean willQuestion 6Select one:a.None of theseb.Characterized by the standard error of the mean.c.Always be equal. d.Always be normally distributed.

Which one of the following statements about a series of random samples of size 100 drawn from a large population known to be exponentially distributed is always correct?The distribution of the means of these samples will be exponentialThe standard deviation of the means of the samples will be the same as that of the overall populationThe means of these samples will all lie within 1% of the mean of the populationAs the number of samples taken increases, the distribution of the means of the samples tends to become more symmetric

The mean of 100 observations was calculated as 69. It was found later on that one of the observations was misread as 92 instead of 67. The correct mean is: Options :69.2568.2567.75none of these

The mean of 100 observations was found to be 40. Later on, it was discovered that two items werewrongly taken as 30 and 27 instead of 3 and 72. Find correct mean.

A sample is taken from a population of 10,000 to estimate the mean value of a quantity of interest for that population.Question 18Assuming all those sampled produce a response, which one of the following is NOT a valid statement?The larger the sample size the more accurate will be the estimate of the population mean valueFor any given sample size, if the population had been 20,000 rather than 10,000 the accuracy of the estimate of the mean value would have been significantly lower.The greater the variance of the quantity of interest in the population, the less accurate will be the estimate of the population mean valueThe width of any confidence interval for the estimate of the population mean will be halved if the sample size is quadrupled