If \(\bar{x} = 18.4\), sample standard deviation is 4.5, sample size = 35, and your confidence level is 95% this is how you can have R calculate a Confidence Interval for you.
conf_int(xbar = 18.4, size = 35, conf = .95, s = 4.5)
## [1] 16.8542 19.9458
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We are 90% sure that the drive thru time at taco bell is somewhere between 161.5 seconds and 164.7 seconds.
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To increase the prescision of the interval you increase the sample size and decrease the level of confidence
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(1.18, 1.26) We are 99% sure that the mean number of books read in the past year was between 1.18 and 1.26.
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(1.08, 8.12) We are 95% sure that the mean incubation period of the SARS vius is between 1.08 and 8.12
Question
A current medicine widely available on the market is known to lower cholesterol by an average amount of 10 mg/dl. A new medicine becomes available on the market. The research publication associated with the new medicine displays a 95% Confidence Interval of the average lowering effect to be (14 mg/dl, 23 mg/dl).
In deciding that the new medication is more effective then the old medication what is the Probability you made a type I error. ? Theres a 5% margin of error
Describe in words what a type II error is in this situation. The medicine did not have average lowering affect between 14 and 23