Statistics often uses relationships between measures of central tendency. For data that is moderately skewed, an empirical relationship exists between the mean, median, and mode.
The common empirical relationship for unimodal and moderately skewed distributions is stated as:
$Mean$ - $Mode$ = 3 \times ($Mean$ - $Median$)
We are given that the difference between the mean and the mode is 69.
Substitute this value into the empirical formula:
$69 = 3 \times (\text{Mean} - \text{Median})$
To find the difference between the mean and the median, rearrange the equation:
Therefore, the difference between the mean and the median is 23.
| Height (cm) | Number of persons |
|---|---|
| 120 | 3 |
| 130 | 4 |
| 140 | 5 |
| 150 | 6 |
| 160 | 2 |
| Value | 3 | 2 | k | 4 | 5 |
| Frequency | k | 2k | 3k | 4k | 5k |
Demand for seats in a university is at its highest in the fall; demand also trends to grow and fall off in 25 year waves. In time service forecasting, the former demand characteristic would be called ______ and the latter would be called _______.
The system of combining two or more overlapping series of index numbers to obtain a single continuous series is called
The rise in the number of patients due to heatstroke is an example of:
According to government data, 24 percent of teenagers in India under the age of 18 years live in households with incomes that are classified at a particular income level. A simple random sample of 400 teenagers in India under the age of 18 years was selected for a study of learning. If the government data is correct, which of the following best approximates the probability that at least 27 per cent of the teenagers in the sample live in households that are classified at a particular income level?
Which index satisfies the factor reversal test?