Research Analyst Intern Interview Questions and Answers

Encountered a data discrepancy while analyzing sales data

• Discovered inconsistencies in sales figures between different data sources

• Investigated the issue by cross-referencing data and identifying the source of the discrepancy

• Resolved the problem by updating the incorrect data and ensuring consistency across all sources

I conduct thorough secondary research by identifying credible sources, analyzing data, and synthesizing findings to inform decisions.

• Identify credible sources: Use academic journals, government reports, and reputable websites for reliable information.

• Use databases: Leverage databases like PubMed or JSTOR for comprehensive literature reviews.

• Analyze data: Evaluate the quality and relevance of the data, looking for biases or gaps.

• Synthesize findings: Summarize key insights and ...read more

Validating data sources ensures accuracy, reliability, and relevance for informed decision-making in research.

• Check the credibility of the source: Look for reputable organizations or publications, such as peer-reviewed journals.

• Assess the author's qualifications: Verify the expertise and background of the author to ensure they are knowledgeable in the field.

• Evaluate the methodology: Review how the data was collected and analyzed to ensure it follows scientific standards.

• Cross...read more

Extrusion technology is a manufacturing process that involves forcing material through a die to create a specific shape or form.

• Extrusion is commonly used in the production of plastic products such as pipes, tubing, and sheets.

• The process involves heating the material to a specific temperature and then forcing it through a die using a screw or piston.

• Extrusion can also be used to create metal products such as rods, wires, and tubes.

• The technology is widely used in various ind...read more

Basic regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables.

• Regression helps in predicting the value of the dependent variable based on the values of independent variables.

• It is used to understand the strength and direction of the relationship between variables.

• Common types of regression include linear regression, logistic regression, and polynomial regression.

Basic regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables.

• Regression analysis is used to predict the value of the dependent variable based on the values of the independent variables.

• The most common type of regression is linear regression, where a straight line is used to model the relationship between variables.

• Other types of regression include logistic regression for binary outcomes and polyno...read more

A p value is a measure of the strength of evidence against the null hypothesis in a statistical hypothesis test.

• P value is a probability value that measures the likelihood of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

• A p value less than 0.05 is typically considered statistically significant, indicating strong evidence against the null hypothesis.

• A p value greater than 0.05 suggests that the results are not statisticall...read more