Quantiles example sentences

Related (6): percentiles, quartiles, deciles, median, outliers, skewness.

"Quantiles" Example Sentences

1. I need to calculate the quantiles of this dataset.
2. The 75th quantile is also known as the third quartile.
3. We can use quantiles to create percentile boundaries.
4. To calculate the median, we need to find the 50th quantile.
5. The interquartile range is the difference between the 75th and 25th quantiles.
6. You can use quantiles to measure the spread of a dataset.
7. The value at the 90th quantile is greater than 90% of the values in the dataset.
8. When plotting a boxplot, the whiskers go up to the upper quantile and down to the lower quantile.
9. The median household income in this area is at the 60th quantile.
10. We can divide a dataset into five equal-sized groups using quintiles or 20 equal-sized groups using percentiles.
11. If we divide a dataset into four equal-sized groups, each group represents a quartile.
12. The highest score in the test was at the 95th quantile.
13. We can use quantiles to compare two or more datasets.
14. The 10th quantile of the speed distribution is at 30 mph.
15. When calculating quantiles, we need to sort the values in ascending or descending order.
16. We can use quantiles to determine the outliers in a dataset.
17. The salary of employees in this company is divided into quartiles.
18. The fifth quantile of the graduation rate distribution is at 90%.
19. We can use quantiles to measure the skewness of a dataset.
20. The 80th quantile of the temperature distribution is at 90 degrees Fahrenheit.
21. The lowest value in this dataset is at the 0th quantile.
22. The median home price in this area is at the 50th quantile.
23. We can use quantiles to define the boundaries of a cumulative distribution function.
24. The fourth quantile is also known as the lower hinge or first quartile.
25. We can use quantiles to estimate the probabilities of future events.
26. The value at the 25th quantile is greater than 25% of the values in the dataset.
27. We can use quantiles to identify the central tendency and variability of a dataset.
28. The sixth quantile of the distribution is at 97.5%.
29. A decile is a division of a dataset into ten equal-sized groups using percentiles.
30. The 95th quantile of the height distribution is at 6'4".

Common Phases

1. Divide the data into equal quantiles;
2. The top 25% is in the upper quartile;
3. The bottom 25% is in the lower quartile;
4. The median is the value that separates the data into two equal halves;
5. One can use quartiles to identify outliers;
6. Quantiles are often used in data analysis;
7. Deciles and percentiles are also types of quantiles;
8. One can use quantiles to compare different datasets;
9. Box-and-whisker plots display the five-number summary, including quartiles;
10. Quantiles are useful for understanding the spread and distribution of data.

Recently Searched

  › Quantiles
  › Nabal [ˈnāvəl]
  › Scone
  › Elysian
  › Alternative
  › Grovellingly
  › Newscasts
  › Newbornmiddle [ˈn(y)o͞oˌbôrn]
  › Widest
  › Aflatted
  › Stunningness
  › Moorlands
  › Gangn
  › Adopt
  › Gluein
  › Waddya [ˈwädē]
  › Acquirement
  › Spherics
  › Enthrall
  › Moosefrom
  › Heedsman
  › Xylophone

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z