True or false, given that a confidence interval for the sample mean is 13 plus or minus 5, is the value 5 in this expression the estimate's standard error?
True or false, given that a confidence interval for the sample mean is 13 plus or...
True or false? Given that a confidence interval for µ is 13 +5. The value of 13 in this expression is the point estimate. The value 5 in this expression is the estimate’s standard error. The value 5 in this expression is the estimate’s margin of error. The width of the confidence interval is 5.
A 95% confidence interval is approximately given by the predicted value of Y (b) plus or minus the standard error of the estimate (c) plus or minus twice the standard error of the estimate (d) plus or minus twice the sum of the errors of the estimate
In a 95% confidence interval. i 1-0.0s is called the confidence coefficient. A) True lB) False If a 95% confidence interval on the mean has a lower limit of 10 and an upper limit that 95% of the time the true value of the mean is between 10 and 15. ) True B) False For a fixed value of the standard deviation and a fixed sample size, a confidence inte population mean will get longer as the level of confidence...
Given the confidence interval for a mean of (74.5738,77.4262), from a sample of size 34 with a population standard deviation of σ=3.6, find the following: Margin of Error(ME)= Standard Error(SE)= Zc= what was the confidence level for this confidence interval?= (Show your work please)
1. True or False? 2. True or False? To compute a t statistic, you must use the sample variance (or standard deviation) to compute the estimated standard error for the sample mean. True False The 95% confidence interval for the difference between two treatment means extends from-2.50 to +5.50. Based on this information, you can conclude that there is no significant difference between the treatments at the .05 level of significance True O False To compute a t statistic, you...
True or False? The higher the confidence level, the narrower is the confidence interval for the mean. Select an answer The most efficient point estimator for the population mean ù is the sample median . Select an answer • To reduce the width of a confidence interval, we can increase the sample size n. Select an answer • As long as the population is normal with variance o’, the statistic (n-1) S2 has a Chi-squared 02 distribution with n degrees...
True or False. (Determining sample size n for the purpose of estimating mean) For a specified sampling error (SE) and given population standard deviation, increase in the confidence level (1-alpha) will lead to a larger sample sizen. True False True or False The smaller the p-value associated with a test of hypothesis, the stronger the support for the research hypothesis. True False
true or false 11. When the level of confidence and the sample size remain the same, a confidence interval for a population mean y will be narrower, when the sample standard deviation s is smaller than when s is larger. Chapter 10 12. The closer is the hypothesized mean is from the actual mean the higher is the power of the test. 13. The manager of the quality department for a tire manufacturing company wants to know the average tensile...
Q12. a) Suppose the given confidence interval estimates the true population mean as 3.5 < u < 13.1 with a 95% level of confidence when o is known. (1) Find the point estimates for the unknown population mean. (ii) Find the margin of error. (iii) Give the interpretation of the confidence interval. (iv) Name two ways of decreasing the width of the confidence interval. b) State the assumptions necessary for linear regression model Y = A + Bx + E...
What is the 95% confidence interval for 9 samples with a sample mean of 46, sample standard deviation of 2? • 44.69-47.31 44.90 - 47.09 44.46 - 47.53 43.92 - 48.08 QUESTION 13 If the Z value was utilized instead of the t-value in the above example and this was utilized for Hypothesis testing, what type of error were you more likely to make? Beta error Alpha Error No error as it would be same Gamma error