Content Population and Sample Data Presentation Random Variable and Probability Distribution Decision Making – Hypothesis Testing ◦ 1 sample ◦ 2 samples Regression 3
Population and Sample Population ◦ An entire group of objects that have been made or will be made, described by a characteristic of interest ◦ Population parameters are unknown and usually unknowable Sample ◦ The group of objects actually measured in a statistical study ◦ A sample is usually a subset of the population of interest ◦ Sample statistics estimate population parameters “ Population Parameters ” “ Sample Statistics ” = Population mean s = Sample standard deviation Sample Population = Population standard deviation X = Sample mean 4
Population and Sample Probability (sampling) Inference (predict) Population Parameters: , , , etc. Sample Statistics: x, s, p, r, etc. 5
Data type u Attribute data –Discrete, proportion and count of defects are the most common –We can count u Variable data –Continuous data –We can measure variables Variable data ให้ข้อมูลที่ ดีกว่า และต้องการจำนวน ข้อมูลน้อยกว่า 6
Parameters PopulationSample Mean µ Variance S 2 or SD 2 Standard Deviation S or SD Standard scoreZ 7
Your consent to our cookies if you continue to use this website.