Sentences

During the statistical analysis, the researchers identified the key quantiles to understand the distribution of the data.

The educational psychologist is using quantile regression to explore the factors affecting students' performance in mathematics.

The company uses quantiles to categorize employees based on salary levels for performance analysis.

In the study, the lower quantiles showed significantly different behavior patterns compared to the upper quantiles.

The software includes a feature for generating various quantiles to help users understand the data distribution better.

The financial advisor explained the importance of quantiles in understanding the risk associated with different investment strategies.

For the research project, the team decided to use various quantiles to analyze the impact of environmental factors on crop yields.

The new method of quantile analysis has revolutionized the way economists study economic inequality.

The data analyst quickly calculated the quantiles to identify outliers in the dataset.

Quantile regression is particularly useful when the relationship between variables is not linear across the data range.

To ensure the accuracy of their forecast, the meteorologists used quantiles to model different scenarios of climate change impacts.

The social scientist is using quantile analysis to study income distribution and its effect on social mobility.

The health researcher is applying quantile regression to explore the impact of diet on health outcomes.

The pharmaceutical company is using quantiles to categorize patient data to improve patient stratification for clinical trials.

The political scientist is using quantiles to understand the distribution of voting patterns across different socioeconomic groups.

The economists are using quantiles to analyze the impact of economic policy changes on different segments of the population.

The risk analyst is using quantiles to assess the potential impact of extreme events on investment portfolios.

The urban planner is using quantiles to analyze the distribution of housing prices in the city.

The data scientist is using quantiles to identify and analyze subgroups within a dataset that have different characteristics.