Definitions

1. Note: One quartile is equivalent to 25 percentile while 1 decile is equal to 10 percentile.
2. The first quartile is the middle value of the lower half of the data and the third quartile is the middle value of the upper half of the data.
3. The first Quartile (Q1) is that value where 25% of the values are smaller and 75% are larger.
4. A quartile is a number, it is not a range of values.
5. The quartile is calculated as the 4-quantile.

Values

1. Tukey's method for finding the quartile values is to find the median of the data set, then find the median of the upper and lower halves of the data set. (Web site)
2. If there are an odd number of values in the data set, include the median value in both halves when finding the quartile values. (Web site)
3. Their method is similar to Tukey's, but you *don't* include the median in either half when finding the quartile values. (Web site)

Quartile Subset

1. For example, if I say "my score was in the upper quartile on that math test", I mean that my score was one of the values in the upper quartile subset (i.e. (Web site)

Middle Quartile

1. The middle quartile is usually called the median.

Nearer Quartile

1. It is called "far outside" if it lies more than 3 times the interquartile range away from the nearer quartile.

Measurements Fall

1. The upper quartile of a distribution is the value below which 75 percent of the measurements fall (the 75th percentile).

Quartile Deviation

1. If they have a gap around the quartile, the quartile deviation should be avoided.
2. From the following data, calculate Bowley’s coefficient of skewness and quartile deviation. (Web site)

Highest Quartile

1. Subjects in highest quartile had an almost doubled risk of a future ischemic stroke compared with those in the lowest quartile. (Web site)

Lower Quartile Value

1. The lower quartile value is the median of the lower half of the data. (Web site)
2. Twenty-five percent of the measurements fall below the lower quartile value.

Second Quartile

1. So the first or lowest quartile is: 5, the second quartile is the median 12, and the third or upper quartile is 28.
2. The second quartile is the median of the data. (Web site)

Iqr

1. Dropping values more than 3 IQR away from the nearer quartile will in most instances throw out important information. (Web site)

Third Quartile

1. The third Quartile (Q3) is that value where 75% of the values are smaller and 25% are larger. (Web site)

Quarter

1. Try not to confuse a quarter with a quartile. (Web site)
2. Similarly, three quarters of the data lies below the third quartile (hence one quarter above it).

Definition

1. The second quartile is by definition the median.

Lower Quartiles

1. While BMI values within lower quartiles remain almost unchanged, clear BMI increases are observed in the top quartile[ 4, 6 - 10]. (Web site)

Top Half

1. The upper quartile (Q 3 or 75th percentile) is the median score of the top half.
2. The rest are in the top half and 5 MSAs are in the top quartile (Raleigh #2, Wilmington #6. (Web site)

Sample

1. The median redshift for our sample is 2.4, with a quartile range of 1.9-2.8. (Web site)

Incidence Rates

1. Incidence rates of diabetes were calculated for each quartile of whole blood viscosity by using a person-years approach. (Web site)
2. Incidence rates of coronary heart disease increased progressively from the lowest to the highest quartile of serum cholesterol level. (Web site)

Set

1. The method Coefficient Of Quartile Deviation Ungrouped Data computes the coefficient of quartile deviation of the given set of numbers. (Web site)

First Quartile

1. Difference between the first quartile (25th percentile) and the third quartile (75th percentile) of an ordered range of data. (Web site)
2. The interquartile range (IQR) is the distance between the first quartile and the third quartile. (Web site)
3. The first quartile is the 25th percentile, the second quartile is the 50th percentile, and the third quartile is the 75th percentile.

Lower

1. For example, the 25th percentile is equivalent to the lower quartile, and the 50th percentile is the same as the median.
2. Inter-quartile Range (IQR). The inter-quartile range of a list of numbers is the upper quartile minus the lower quartile. (Web site)

Points

1. For each floating bar there is a high, low, median, mean, and first and third quartile cut off points, all representing a chosen statistic.

Horizontal

1. Horizontal lines are drawn at the smallest observation (A), lower quartile.

Vertical

1. And another from the upper quartile (D), and the largest observation (E). Vertical lines to produce the box join these horizontal lines at points (B, and D).
2. A vertical lines is drawn up from the upper quartile to the most extreme data point that is within a distance of 1.5 (IQR) of the upper quartile.

Number

1. Each quartile includes 25% of the total number of data points. (Web site)
2. Note that a quartile is a number or cutoff, and not a range of values.
3. In 2009, the number of Highland Council SPIs in the top quartile had increased from 12 to 21 and those in the bottom quartile had dropped from 20 to 13. (Web site)

Frequency Distribution

1. Quartile: The segment of a sample representing a sequential quarter (25%) of a frequency distribution. (Web site)

One-Fourth

1. Lower Quartile: The lower quartile of a data set is those values below the 25 th percentile, which is one-fourth of the data in a data set.

Excel

1. In Excel, the Quartile function returns the quartile from a set of values. (Web site)

Data

1. The difference between the first quartile and third quartile of a set of data. (Web site)
2. Upper Quartile: The upper quartile is those values above the 75 th percentile, which is one-fourth of the data in a data set.
3. The upper quartile indicates the point below which lies 75% of the data.

Percentile

1. Examples of quantiles include quartile, quintile, percentile. (Web site)

Quartile Values

1. With each of the above methods, the quartile values are always either one of the data points, or exactly half way between two data points. (Web site)

Value

1. The upper quartile value is the median of the upper half of the data. (Web site)
2. Thus the lower quartile value is 9 and the upper quartile value is 49. (Web site)
3. The second Quartile (Q2) is that value where 50% of the values are smaller and 50% are larger.

Interquartile Range

1. A point is called "outside" if it lies more than 1.5 times the interquartile range below the lower quartile or above the upper quartile.
2. IqRange - Interquartile Range is the difference between the third quartile and the first quartile.
3. The interquartile range equals the difference between the upper quartile and the lower quartile.

Median

1. The first quartile is thus the 25th percentile, the median is the 50th percentile and the upper quartile is the 75th percentile. (Web site)
2. Some percentiles - the median is the percentile; the first quartile is the percentile, the third quartile is the percentile.
3. For a set of data, the minimum, first quartile, median, third quartile, and maximum. (Web site)

Quartiles

1. References to quartiles often relate to just the outer two, the upper and the lower quartiles; the second quartile being equal to the median. (Web site)

Quartile

1. The lower quartile, median and upper quartile indicate values of X below which lie 25%, 50%, and 75% of the data values, respectively.
2. Minitab, etc use H&F definition 6, which calculates the 1st (3rd) quartile as the median of the lower (upper) "half" of the sample. (Web site)
3. Two other percentiles with special names are the quartiles: the lower quartile (the 25-th percentile) and the upper quartile (the 75-th percentile).

Categories

1. Quartiles
2. Science > Mathematics > Means > Median
3. Science > Mathematics > Statistics > Interquartile Range
4. Encyclopedia of Keywords > Thought > Value > Values
5. Evaluation > Analysis > Tests > Percentile
6. Books about "Quartile" in Amazon.com
   

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