Statistics Interview Questions

Topics to Cover:

• Descriptive statistics
• Probability
• Hypothesis testing
• Regression analysis

Questions and Answers:

1 Q: What is the difference between descriptive and inferential statistics?

A: Descriptive statistics summarize the main features of a dataset (e.g., mean, median, mode), while inferential statistics use samples to make inferences about a larger population.

2 Q: Define p-value in hypothesis testing.

  A: The p-value is the probability of obtaining test results at least as extreme as the observed results, assuming the null hypothesis is true. A low p-value (< 0.05) indicates strong evidence against the null hypothesis.

3 Q: What is the central limit theorem?

  A: The central limit theorem states that the distribution of the sample mean approximates a normal distribution as the sample size becomes large, regardless of the population's distribution.

4 Q: Explain the concept of correlation.

  A: Correlation measures the strength and direction of the relationship between two variables. It ranges from -1 (perfect negative) to +1 (perfect positive), with 0 indicating no correlation.

5 Q: What is linear regression?

  A: Linear regression is a statistical method for modeling the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.

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