How does the confidence interval relate to the significance level?
Significance level = 1 - confidence level.
As significance level increase, confidence level to create confidence interval decreases, therefore,
width of confidence interval reduces.
So, Significance level and confidence interval (width) are inversely proportional.
If a variable is significant, what F> |t| values are seen ? how does this number relate to the confidence interval?
As the confidence level increase, how does the width of the confidence interval change (Width = Upper Limit – Lower Limit)? Why? Does it become more or less precise? can someone help me understand this please?
In confidence interval estimation, we define the level of significance as: a) 1 + confidence level I. b) confidence level-1 c) 1-confidence level d) α-1 e) 1-a If we are given a sample with ơ unknown, we should use the t-distribution unless the sample size a) 5 gb) 25 : c) 30 d) 500 e) none of these In hypothesis testing, we make a Type II error when we: a) fail to reject a true Ho b) reject a true...
Which of the following does NOT correctly describe how the width of a confidence interval for a population mean changes when the population standard deviation is known? The interval changes if the sample size decreases. The interval changes if the sample size increases. The interval narrows if the sample size increases and confidence level stays the same. The interval widens if the sample size decreases and the confidence level stays the same. The interval widens if the sample size stays...
1. Use the significance level a, and confidence interval for estinating the population mean u. Assume that population has a normal distribution. An insurance company needs information about repairing costs of car being in accidents. A random sample of 20 cars has been drawn with a mean x = $1400 and standard deviation s-S250. Find 98% confidence interval for a true mean of all cars being in accidents.
The confidence level in a confidence interval for µ is: A) the probability that the interval contains µ B) the probability that the interval does not contain µ C) the probability of Type I error for the associated hypothesis testing problem D) the probability of Type II error for the associated hypothesis testing problem E) the approximate proportion of intervals which contains µ when a large number confidence intervals ins contained by repeating the sampling experiment
What is the significance of the transfer conductance or transconductance gm? How does it relate to voltage gain for the JFET?
How does the level of projected margin of safety relate to risk level?.
1. Construct a confidence interval for P1-P2 at the given level of confidence. X7 = 29, n = 251, x2 = 33, n2 = 300, 90% confidence 2. | Sample 1 10 Sample 2 10 n X 17.4 Assume that both populations are normally distributed a) Test whether M7 * H2 at the a = 0.10 level of significance for the given sample data. b) Construct a 90% confidence interval about 11-12 19.1 3.9
A 50% confidence level has a confidence interval of 0.6745. A 90% confidence level has a confidence interval of 1.96. A 99% confidence level has a confidence interval of 2.57. A critical distance is measured 17 times. The mean is 317.6 feet, the sample standard deviation is 0.46 feet. The standard error of the mean value with a confidence level of 90% is (A) (2.57) (0.46) 17 (B) (1.96) (0.46) 17 D. (1.96) (0.46) V17 (D) (0.46) (17) 1.96