“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
Measurement theory
1. Measurement Theory Accuracy, Precision, Error, Repeatability, Measurement scale Gauri S. Shrestha, M.Optom, FIACLE
2.
3.
4. Empirical space Source set S s i States, phenomena Reference: [1] Image space Abstract, well-defined symbols Image set I i i Transformation
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26. XXXXXX Low accuracy high precision X X X X X X X X X X medium accuracy low precision
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
Editor's Notes
could you compute the mean sex of subjects in your sample? It is possible to compute a mean value, but how meaningful would that be? How would you interpret a mean sex of 1.4? When you are examining a Nominal variable such as sex, it is more appropriate to compute a statistic such as a percentage (60% of the sample was male).
could you compute the mean sex of subjects in your sample? It is possible to compute a mean value, but how meaningful would that be? How would you interpret a mean sex of 1.4? When you are examining a Nominal variable such as sex, it is more appropriate to compute a statistic such as a percentage (60% of the sample was male).
could you compute the mean sex of subjects in your sample? It is possible to compute a mean value, but how meaningful would that be? How would you interpret a mean sex of 1.4? When you are examining a Nominal variable such as sex, it is more appropriate to compute a statistic such as a percentage (60% of the sample was male).
![Introduction ,[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)