Analysis Group Interview Questions and Answers

Q1. Describe a problem you encountered when performing your analysis and how you resolved it
Ans. 
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
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Q1. Explain a p value
Ans. 
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 greate...read more
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Q2. Explain basic regression
Ans. 
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
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Describe a problem you encountered working with your data and how you resolved it

Q1. Explain a p value
Ans. 
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 the observed data if 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 observed da...read more
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Q2. Describe basic regression
Ans. 
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 ...read more
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