The median must be at least as great as the first quartile in any data set. Normally it would be greater.
The median must be at least as great as the first quartile in any data set. Normally it would be greater.
The median must be at least as great as the first quartile in any data set. Normally it would be greater.
The median must be at least as great as the first quartile in any data set. Normally it would be greater.
The median must be at least as great as the first quartile in any data set. Normally it would be greater.
The value of any element in the third quartile will be greater than the value of any element in the first quartile. But both quartiles will have exactly the same number of elements in them: 250.
If a data set consists of 1000 different values can the mean and the median be the same
When they are arranged in order, it is the number halfway between the 500th and 501st value.
No. The percentiles start at the lowest value. When the 1000 values are ordered, from smallest to largest, the 29th percentile will be the 290th value while the 30th percentile will be the 300th value.
1000 lbs is greater.
The value of any element in the third quartile will be greater than the value of any element in the first quartile. But both quartiles will have exactly the same number of elements in them: 250.
If a data set consists of 1000 different values can the mean and the median be the same
Yes.
When they are arranged in order, it is the number halfway between the 500th and 501st value.
The median of 1000 is the mid-point between 500 and the 501500.5
Because they are both measures of the same characteristic - the central tendency.
The purpose of the median is to find the middle value in a dataset when it is arranged in numerical order. It is a measure of central tendency that is not influenced by extreme values or outliers, making it a robust statistic for describing the "typical" value in a dataset.
100.
No. The percentiles start at the lowest value. When the 1000 values are ordered, from smallest to largest, the 29th percentile will be the 290th value while the 30th percentile will be the 300th value.
It is 1000 times greater.
To calculate the average without being affected by the extreme values of a set of data. For example in a restaurant the wage for a waiter may be 1000 pounds a month, yet for the manager 10000 pounds a month. The mean would thus be distorted if calculated inclusive of the manager's salary. Hence the use of the median.
1000 lbs is greater.