In estimation procedures, the risk that you are wrong (the probability of error) is called?
Margin of error?
In estimation procedures, the risk that you are wrong (the probability of error) is called? Margin...
Like estimation procedures, hypothesis testing involves the risk that the sample a. may not be representative. b. may not be biased. c. may be too large. d. may not be significant.
how to do you find an estimation of a error instrument how do you find the smallest increment on a school ruler with inches and centimeters to find the error ?
(36) Estimators are used in two different ways: point estimation and confidence estimation. (1) True. (2) False. (37) Which of the statements about large-sample estimation is correct? (1) An estimator should be unbiased and the spread (as measured by the mean) should be as small as possible. (2) The distance between an estimate and the true value of the statistic is called the error of estimation. (3) The 95% Margin of error is: 1.96 x Standard error of the estimator. (4) A good confidence interval is as...
Which of the statements about large-sample estimation is correct? (1) An estimator should be unbiased and the spread (as measured by the mean) should be as small as possible. (2) The distance between an estimate and the true value of the statistic is called the error of estimation. (3) The 95% Margin of error is: 1.96 Standard error of the estimator. (4) A good confidence interval is as wide as possible.
Which of the statements about large-sample estimation is correct? (1) An estimator should be unbiased and the spread (as measured by the mean) should be as small as possible. (2) The distance between an estimate and the true value of the statistic is called the error of estimation. (3) The 95% Margin of error is: 1.96 x Standard error of the estimator. (4) A good confidence interval is as wide as possible.
sample should be taken to provide a 95% confidence interval with a margin of error of .05? At 95% confidence, how large a sample should be taken to obtain a margin of error of .03 for the estimation of a population proportion? Assume that past data are not available for developing a planning value for p* 34.
At 95% confidence, how large a sample should be taken to obtain a margin of error of 0.039 for the estimation of a population proportion? Assume that past data are not available for developing a planning value for p*. Round up to the next whole number.
At 95% confidence, how large a sample should be taken to obtain a margin of error of 0.017 for the estimation of a population proportion? Assume that past data are not available for developing a planning value for p *. Round up to the next whole number.
At 90% confidence, how large a sample should be taken to obtain a margin of error of 0.011 for the estimation of a population proportion? Assume that past data are not available for developing a planning value for p. Round up to the next whole number
Using the same sample data, the margin of error for an 80% confidence interval is larger than the margin of error for a 90% confidence interval. True or false? why? I thought it was false, but I think I might be wrong.