Archive for the '4: Measures of Central Tendency' Category

4.2 Median for Ungrouped Data

Thursday, August 3rd, 2006

The Median for Ungrouped Data

To find the median of ungrouped data, the values or measurements must be arranged in an array. It may be either in an increasing or a decreasing oreder. Then we get the value or the measurement in the middle. If there is an even number of values, then the two values in the middle are added together then divided by two.

(more…)

4.2 Median

Sunday, July 30th, 2006

Median
The median is another measure of central tendency. It is the middle value of a given set of measurements, when the values or measurements are arranged in an array.

An array is an arrangement of values in increasing or decreasing order.

(more…)

4.1 Characteristics of the Mean

Friday, July 14th, 2006

Characteristics of the Mean

Below are the characteristics of the mean of any distribution:
1. The mean is the most appropriate measure of central tendency when the data are in the interval or ratio scale.
2. The mean lies between the largest and smallest values or measurements.
3. There is only one value for the mean for a given set of values or measurements.
4. The mean is easily influenced by extreme values because all values contribute to the average. If there are high values, the mean tends to be high also. If there are extremely low values, the mean tends to be low also.

4.1 Coded Formula

Wednesday, July 12th, 2006

4.1 Coded Formula

The computation of the mean can be facilitated by using the coded formula which is shown below:

coded formula.jpg

where:
Xam = assumed mean
f = frequency
d = coded deviation
n = total frequency
i = class size

(more…)

4.1 Classmark Formula

Monday, July 10th, 2006

The Classmark Formula

The formula for the mean using the classmark is as follows:
classmark formula.jpg
where:
x = measurement or score
f = frequency
X = classmark
n = total frequency

(more…)

4.1 Mean for Grouped Data

Monday, July 10th, 2006

Mean for Grouped Data
To compute the mean for grouped data, we can use two formulas, namely:
1. The Classmark Formula, and
2. The Coded Formula.

4.1: Mean - Weighted Arithmetic Mean

Tuesday, June 20th, 2006

4.1: Mean - Weighted Arithmetic Mean

There are sets of values where the values or measurements involved have different “weights” or degree of importance. The mean of this set is called a “weighted mean.” The formula for computing a weighted mean is as follows:

wieghted_mean_formula.jpg

where:
mean11.jpg = mean
x = measurement or value
W = weight

(more…)

4.1 Mean - Sample Mean

Saturday, June 10th, 2006

Sample Mean - mean of ungrouped or raw data

mean2.jpg

where:
mean11.jpg = mean
Σx = sum of all the measurements
n = number of measurements

(more…)

4.1: Mean

Wednesday, January 25th, 2006

4.1: Mean

Mean - the sum of all the measurements in a data set divided by the number of measurements in the set; the symbol for mean is mean11.jpg.

4: MEASURES OF CENTRAL TENDENCY

Wednesday, January 25th, 2006

4: MEASURES OF CENTRAL TENDENCY

Although text, tables and graphs effectively present data, these do not sufficiently describe the data being presented.

Measures of Central Tendency - numerical descriptive measures which indicate the center of a data set

There are three commonly used measures of central tendency:

Mean
Median
Mode