Preview Questions Marketing Research Analyst | Role Specific Skill

Question 1: In time series analysis, which technique is used to smooth short-term fluctuations and highlight long-term trends?

Which action should you take?

Choose only one option

Exponential smoothing

Seasonal decomposition

Moving averages

ARIMA model

Question 2: What is the main purpose of calculating confidence intervals in statistical analysis?

Which action should you take?

Choose only one option

To test the significance of an independent variable

To compare the means of two groups

To visualize the data distribution

To estimate the margin of error for predictions

Question 3: How do you account for cultural differences in survey design?

Which action should you take?

Choose only one option

By only focusing on data that is universally applicable

By ensuring questions are culturally appropriate, using localization strategies, and avoiding bias

By using the same survey questions globally, assuming uniformity in responses

By translating the questions without considering cultural context

Question 4: How do you handle survey fatigue among respondents?

Which action should you take?

Choose only one option

By continuing with the survey process even if fatigue becomes evident

By offering a larger reward for completing longer surveys

By shortening surveys, varying question types, and offering rewards to maintain engagement

By increasing the number of questions to collect more data

Question 5: Why is it important to use both qualitative and quantitative data when conducting market trend analysis?

Which action should you take?

Choose only one option

To provide a balanced view and account for both subjective and objective data

To make the analysis more statistically significant

To generate more precise forecasts

To ensure the results can be generalized to the entire market

Question 6: What is the most significant limitation of using a 10-point scale for measuring customer satisfaction?

Which action should you take?

Choose only one option

It lacks the ability to distinguish subtle differences in responses

It introduces too much variability in the responses

It can lead to response fatigue if used frequently

It creates too many categories for respondents to choose from