Statistical Analysis & Modeling Flashcards

What is the purpose of statistical analysis in data science?

Answer: To make decisions based on data-driven insights

Statistical analysis helps in understanding the underlying patterns of the data and making informed decisions based on data insights.

What does a p-value represent in hypothesis testing?

Answer: The likelihood of obtaining the observed result if the null hypothesis is true

A p-value helps to determine the statistical significance of the results in hypothesis testing, measuring the likelihood that the observed result is due to chance.

What is regression analysis used for?

Answer: To make predictions based on a linear relationship

Regression analysis is used to understand relationships between variables and predict one variable based on another.

What does a confidence interval represent in statistical analysis?

Answer: The range within which the population parameter is likely to fall

A confidence interval gives a range of values within which the true population parameter is likely to fall, with a certain level of confidence.

Which statistical technique is used for predicting a continuous outcome based on one or more predictor variables?

Answer: Linear regression

Linear regression is a commonly used statistical method to predict continuous outcomes by analyzing relationships between dependent and independent variables.

Which of the following is a primary assumption in linear regression analysis?

Answer: The relationship between the variables is linear

Linear regression assumes that the relationship between the dependent and independent variables is linear, among other conditions.

Which of the following is a commonly used method for handling missing data in statistical analysis?

Answer: Imputation

There are several methods to handle missing data, including imputation and deletion methods.

What is the purpose of a hypothesis test in statistical analysis?

Answer: To determine whether there is enough evidence to reject the null hypothesis

Hypothesis testing is used to evaluate whether there is enough evidence to support a particular claim or hypothesis about a population.

Which of the following is a measure of the strength and direction of the linear relationship between two variables?

Answer: Correlation coefficient

The correlation coefficient is used to measure the strength and direction of the linear relationship between two variables.