Market Research Data Analysis & Statistics 1 — Questions and Answers
Question 1: What does a p-value below 0.05 indicate in market research analysis?
- The sample size is insufficient for the study
- The result is statistically significant at the 95% confidence level (Correct answer)
- The correlation between variables is negative
- The data follows a normal distribution
Correct answer: The result is statistically significant at the 95% confidence level
A p-value below 0.05 indicates there is less than a 5% probability the results occurred by chance, meeting the standard significance threshold.
Question 2: Which statistical test is most appropriate for comparing means across three or more groups?
- Chi-square test
- T-test
- ANOVA (Analysis of Variance) (Correct answer)
- Regression analysis
Correct answer: ANOVA (Analysis of Variance)
ANOVA is specifically designed to test whether statistically significant differences exist between the means of three or more independent groups.
Question 3: What does 'correlation' measure in market research data analysis?
- Causation between two marketing variables
- The strength and direction of the linear relationship between two variables (Correct answer)
- The difference between group means across segments
- The distribution shape of a single variable
Correct answer: The strength and direction of the linear relationship between two variables
Correlation measures both the strength and direction of the relationship between two variables, but does not imply causation.
Question 4: In regression analysis, what does the R-squared value represent?
- The slope of the regression line
- The proportion of variance in the dependent variable explained by the independent variables (Correct answer)
- The number of independent variables included in the model
- The statistical significance level of the regression model
Correct answer: The proportion of variance in the dependent variable explained by the independent variables
R-squared measures the proportion of variance in the outcome variable that is explained by the predictor variables in the regression model.
Question 5: What is 'factor analysis' used for in market research?
- Analyzing manufacturing factors that affect product quality
- Reducing a large number of variables into a smaller set of underlying factors (Correct answer)
- Analyzing financial factors in pricing research studies
- Identifying causal factors in experimental research designs
Correct answer: Reducing a large number of variables into a smaller set of underlying factors
Factor analysis is a data reduction technique that identifies underlying latent factors explaining patterns of correlations among many observed variables.
Question 6: What is a 'cross-tabulation' (crosstab) in market research analysis?
- A table comparing results across multiple different studies
- A statistical technique showing the distribution of two categorical variables simultaneously (Correct answer)
- A method for tabulating open-ended survey responses
- A comparison of results across different geographic regions
Correct answer: A statistical technique showing the distribution of two categorical variables simultaneously
Cross-tabulation displays the relationship between two categorical variables in a matrix format, showing how one variable's distribution varies across categories of another.
What does a p-value below 0.05 indicate in market research analysis?