Please answer true/false for each: a. If creating a confidence interval for a population mean from a single sample, doubling the sample size will approximately halve the margin of error (i.e. the width) of the confidence interval. b. “Power” is the likelihood that we will conclude that the population means are the same when in fact they are. c. If in testing a hypothesis we choose α = 0.05, then there is up to a 5% chance we might make a Type I error if we decide to accept HA: μ1 ≠ μ2 d. For a sample of some fish of a certain type, we find the mean length and standard deviation and we find the resulting 90% confidence interval of (17.8, 22.2), thus we are 90% confident that the sample mean is between 17.8 and 22.2
Please answer true/false for each: a. If creating a confidence interval for a population mean from a single sample, doubling the sample size will approximately halve the margin of error (i.e. the width) of the confidence interval. b. “Power” is the likelihood that we will conclude that the population means are the same when in fact they are. c. If in testing a hypothesis we choose α = 0.05, then there is up to a 5% chance we might make a Type I error if we decide to accept HA: μ1 ≠ μ2 d. For a sample of some fish of a certain type, we find the mean length and standard deviation and we find the resulting 90% confidence interval of (17.8, 22.2), thus we are 90% confident that the sample mean is between 17.8 and 22.2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please answer true/false for each:
a. If creating a confidence interval for a population
b. “Power” is the likelihood that we will conclude that the population means are the same when in fact they are.
c. If in testing a hypothesis we choose α = 0.05, then there is up to a 5% chance we might make a Type I error if we decide to accept HA: μ1 ≠ μ2
d. For a sample of some fish of a certain type, we find the mean length and standard deviation and we find the resulting 90% confidence interval of (17.8, 22.2), thus we are 90% confident that the sample mean is between 17.8 and 22.2.
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