Data Science Trivia Question and Answers 1

Question 1

What one of the following qualifies as a random variable?

Accepted Answer

All of the above

Answer

A random variable is a variable whose value is a numerical outcome of a random phenomenon. The outcome of rolling a die (e.g., 1-6), the outcome of an exam (e.g., a score or pass/fail), and the outcome of flipping a coin (e.g., heads/tails, which can be assigned numerical values) all represent numerical results of random events. Therefore, all the listed options qualify as random variables.

Question 2

Which of the subsequent tests is focused on using data to make decisions?

Accepted Answer

Hypothesis

Answer

Hypothesis testing is a statistical method specifically designed to make decisions about a population based on sample data. It involves formulating a null and alternative hypothesis, collecting data, and then using statistical tests to determine if there is sufficient evidence to reject the null hypothesis. This systematic process is fundamental for drawing conclusions and making informed decisions in data analysis.

Question 3

Which of the following is true?

Accepted Answer

With the help of training data, machine learning focuses on making predictions based on known properties.

Answer

Machine learning is a core discipline within artificial intelligence that focuses on enabling systems to learn from data, identify patterns, and make predictions or decisions without explicit programming. It primarily involves training models on known properties within a dataset (training data) to then predict outcomes or classify new, unseen data, accurately defining its main objective.

Question 4

Which of the following is a measure of spread for a random variable?

Accepted Answer

Standard deviation

Answer

The standard deviation is a widely used measure of the spread or dispersion of data points around the mean for a random variable. It quantifies the average amount of variation or deviation from the mean, providing a clear indication of how spread out the values in a dataset are. While variance is also a measure of spread, standard deviation is often preferred for its interpretability as it's in the same units as the data.

Question 5

The weighted average is employed in:

Accepted Answer

Forecasting

Answer

Weighted averages are frequently utilized in forecasting, particularly in methods like moving averages or exponential smoothing. In these techniques, recent data points are typically assigned greater weight than older ones, reflecting their increased relevance to future predictions. This approach allows forecasts to be more responsive to current trends while still incorporating historical data.

Data Science Practice Test

Data Science Practice Test

Data Science Trivia Question and Answers 1