Exam 10: Introduction to Estimation

If the population standard deviation is guesstimated, and it turned out to be larger than you assumed, then the sample size you calculated is ____________________ than it needs to be.

Which of the following statements is false regarding the sample size needed to estimate a population mean?

When constructing confidence interval estimate of $\mu$ , doubling the sample size n decreases the width of the interval by half.

Knowing that an estimator is unbiased only assures us that its expected value equals the parameter, but it does not tell us how close the estimator is to the parameter.

An economist is interested in studying the spending habits of consumers in a particular region.The population standard deviation is known to be $1,000.A random sample of 50 individuals resulted in an average expense of $15,000.What is the width of the 99% confidence interval?

An interval estimate is a range of values within which the actual value of the population parameter, such as $\mu$ may fall.

The sample ____________________ is relatively more efficient than the sample ____________________ when estimating the population mean.

Suppose an interval estimate for the population mean was 62.84 to 69.46.The population standard deviation was assumed to be 6.50, and a sample of 100 observations was used.The mean of the sample was:

The population mean is a(n) ____________________ but ____________________ quantity.

The confidence level that is considered to be the standard amongst statisticians is ____________________%.

If the bound on the error of estimation decreases, the sample size ____________________.

In developing an interval estimate for a population mean, the population standard deviation was assumed to be 8.The interval estimate was 50.0 11ef1773_82b8_7818_8934_fd6931bff87b_TB7453_112.50.Had $\sigma$ equaled 16, the interval estimate would be 10011ef1773_82b8_7818_8934_fd6931bff87b_TB7453_11 5.0.