Step 1: Understand the statistical purpose.
- Factor analysis is a statistical method that examines relationships among observed variables. - It identifies latent variables (factors) that explain patterns of correlations among measured variables.
Step 2: Analyze given options.
- Correlation: Measures relationship between two variables only. (Incorrect)
- Regression: Predicts one variable based on another. (Incorrect)
- Factor Analysis: Discovers underlying structure from loading patterns. (Correct)
- Item Analysis: Evaluates test questions, not loading patterns. (Incorrect)
Thus, the correct statistical technique is: \[ \boxed{{Factor Analysis}} \]
The 12 musical notes are given as \( C, C^\#, D, D^\#, E, F, F^\#, G, G^\#, A, A^\#, B \). Frequency of each note is \( \sqrt[12]{2} \) times the frequency of the previous note. If the frequency of the note C is 130.8 Hz, then the ratio of frequencies of notes F# and C is:
Here are two analogous groups, Group-I and Group-II, that list words in their decreasing order of intensity. Identify the missing word in Group-II.
Abuse \( \rightarrow \) Insult \( \rightarrow \) Ridicule
__________ \( \rightarrow \) Praise \( \rightarrow \) Appreciate
If Soni got an intelligence score of 115, then what percentage of the population (% as given in the graph) will have intelligence scores higher than the score obtained by Soni? (rounded off to 2 decimal places)