CompTIA Data+ (DA0-002)Data AnalysisMedium
A data analyst is comparing the performance of two different marketing campaigns (Campaign A and Campaign B) based on the average number of clicks per ad. They collect data from a sample of ads for each campaign. The analyst wants to determine if there is a statistically significant difference between the average clicks of the two campaigns, assuming the population variances are equal. Which hypothesis test should they use?
- AIndependent Samples t-test
- BANOVA
- CChi-Square Test of Independence
- DPaired Samples t-test
Show answer & explanationAnswer & explanation
Correct answer: A. Independent Samples t-test
An Independent Samples t-test is used to compare the means of two independent groups (Campaign A and Campaign B) when the data is continuous and the assumption of equal population variances is made.
Why the other options are wrong
- B. ANOVA is used to compare means of three or more groups.
- C. Chi-Square Test of Independence is used to examine the relationship between two categorical variables.
- D. Paired Samples t-test is for comparing means of dependent groups (e.g., before/after measurements on the same subjects).
Independent Samples t-test
A statistical hypothesis test used to determine if there is a significant difference between the means of two independent groups.
- Assumes data is continuous and normally distributed (or large sample size).
- Can assume equal or unequal population variances.
- Compares two distinct, unrelated groups.
Memory trick: Independent t-test for 'I'solated groups.