
第七章信賴區間估計 - 國立交通大學開放式課程
... Interpretation of the confidence interval • Interpretation of the confidence interval for population mean – The confidence we have in the limits 322.3 hours and 377.7 hours in 例 1 derives from our confidence in the statistical procedure that gave rise to them. The procedure gives random variables L ...
... Interpretation of the confidence interval • Interpretation of the confidence interval for population mean – The confidence we have in the limits 322.3 hours and 377.7 hours in 例 1 derives from our confidence in the statistical procedure that gave rise to them. The procedure gives random variables L ...
Chapter 9.1 Hypothesis Testing 5
... It would be desirable to use a test method that gives a small value for both and . But typically, there is some trade‐off. By setting a lower value for this leads to reluctance to reject the null hypothesis and therefore a greater risk of a Type II error and a larger value for ...
... It would be desirable to use a test method that gives a small value for both and . But typically, there is some trade‐off. By setting a lower value for this leads to reluctance to reject the null hypothesis and therefore a greater risk of a Type II error and a larger value for ...
Modes of Convergence Outline Deterministic Convergence Example
... Example: Sample Mean Unbiased ...
... Example: Sample Mean Unbiased ...
Discrete Random Variables
... They must always be numerical values. For example, you could toss a coin and say ‘how many heads?’, the answer being 1 or 0. However you could not say ‘heads or tails’ as these are not numerical. The possibilities can only be whole numbers (discrete). There can be others but these are not the focus ...
... They must always be numerical values. For example, you could toss a coin and say ‘how many heads?’, the answer being 1 or 0. However you could not say ‘heads or tails’ as these are not numerical. The possibilities can only be whole numbers (discrete). There can be others but these are not the focus ...