Correct option is A
The Chi-square test is a non-parametric statistical test used to evaluate the association between categorical variables. The pre-conditions for applying the test include:
1. Raw Frequency Data:
· The data should be in the form of absolute frequencies, not percentages or ratios.
2. Adequate Sample Size:
· Although not strictly requiring 100 observations, the sample should be large enough for expected frequencies in each cell to be 5 or more.
3. Random Sampling:
· The sample must be randomly drawn to ensure unbiased representation.
4. Independence of Observations:
· Each observation must belong to only one category to avoid dependency.
Information Booster: The Chi-square test is frequently used in market research to examine customer preferences, satisfaction levels, or brand choices.
Additional Knowledge: If the expected frequency is below 5 in any cell, the Yates correction for continuity or Fisher’s Exact Test may be used as alternatives.